diff --git "a/attnserver.run_attnserver.slurm.sh.343216.err.log" "b/attnserver.run_attnserver.slurm.sh.343216.err.log"
new file mode 100644--- /dev/null
+++ "b/attnserver.run_attnserver.slurm.sh.343216.err.log"
@@ -0,0 +1,25312 @@
++ source /mnt/weka/home/hao.zhang/conda/miniconda/bin/activate
+++ _CONDA_ROOT=/mnt/weka/home/hao.zhang/conda/miniconda
+++ . /mnt/weka/home/hao.zhang/conda/miniconda/etc/profile.d/conda.sh
++++ export CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
++++ CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
++++ export _CE_M=
++++ _CE_M=
++++ export _CE_CONDA=
++++ _CE_CONDA=
++++ export CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
++++ CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
++++ '[' -z x ']'
+++ conda activate
+++ local cmd=activate
+++ case "$cmd" in
+++ __conda_activate activate
+++ '[' -n '' ']'
+++ local ask_conda
++++ PS1=
++++ __conda_exe shell.posix activate
++++ '[' -n '' ']'
++++ /mnt/weka/home/hao.zhang/conda/miniconda/bin/conda shell.posix activate
+++ ask_conda='unset _CE_M
+unset _CE_CONDA
+PS1='\''(base) '\''
+export PATH='\''/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin'\''
+export CONDA_SHLVL='\''1'\''
+export CONDA_PROMPT_MODIFIER='\''(base) '\''
+export CONDA_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda'\''
+export CONDA_PYTHON_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/python'\'''
+++ eval 'unset _CE_M
+unset _CE_CONDA
+PS1='\''(base) '\''
+export PATH='\''/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin'\''
+export CONDA_SHLVL='\''1'\''
+export CONDA_PROMPT_MODIFIER='\''(base) '\''
+export CONDA_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda'\''
+export CONDA_PYTHON_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/python'\'''
++++ unset _CE_M
++++ unset _CE_CONDA
++++ PS1='(base) '
++++ export PATH=/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
++++ PATH=/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
++++ export CONDA_SHLVL=1
++++ CONDA_SHLVL=1
++++ export 'CONDA_PROMPT_MODIFIER=(base) '
++++ CONDA_PROMPT_MODIFIER='(base) '
++++ export CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
++++ CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
++++ export CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
++++ CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
+++ __conda_hashr
+++ '[' -n '' ']'
+++ '[' -n '' ']'
+++ hash -r
++ conda activate junda-attnserver
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate junda-attnserver
++ '[' -n '' ']'
++ local ask_conda
+++ PS1='(base) '
+++ __conda_exe shell.posix activate junda-attnserver
+++ '[' -n '' ']'
+++ /mnt/weka/home/hao.zhang/conda/miniconda/bin/conda shell.posix activate junda-attnserver
++ ask_conda='unset _CE_M
+unset _CE_CONDA
+PS1='\''(junda-attnserver) '\''
+export PATH='\''/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin'\''
+export CONDA_PREFIX='\''/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver'\''
+export CONDA_SHLVL='\''2'\''
+export CONDA_DEFAULT_ENV='\''junda-attnserver'\''
+export CONDA_PROMPT_MODIFIER='\''(junda-attnserver) '\''
+export CONDA_PREFIX_1='\''/mnt/weka/home/hao.zhang/conda/miniconda'\''
+export CONDA_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda'\''
+export CONDA_PYTHON_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/python'\'''
++ eval 'unset _CE_M
+unset _CE_CONDA
+PS1='\''(junda-attnserver) '\''
+export PATH='\''/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin'\''
+export CONDA_PREFIX='\''/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver'\''
+export CONDA_SHLVL='\''2'\''
+export CONDA_DEFAULT_ENV='\''junda-attnserver'\''
+export CONDA_PROMPT_MODIFIER='\''(junda-attnserver) '\''
+export CONDA_PREFIX_1='\''/mnt/weka/home/hao.zhang/conda/miniconda'\''
+export CONDA_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda'\''
+export CONDA_PYTHON_EXE='\''/mnt/weka/home/hao.zhang/conda/miniconda/bin/python'\'''
+++ unset _CE_M
+++ unset _CE_CONDA
+++ PS1='(junda-attnserver) '
+++ export PATH=/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
+++ PATH=/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/.local/bin:/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin:/mnt/weka/home/hao.zhang/conda/miniconda/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
+++ export CONDA_PREFIX=/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver
+++ CONDA_PREFIX=/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver
+++ export CONDA_SHLVL=2
+++ CONDA_SHLVL=2
+++ export CONDA_DEFAULT_ENV=junda-attnserver
+++ CONDA_DEFAULT_ENV=junda-attnserver
+++ export 'CONDA_PROMPT_MODIFIER=(junda-attnserver) '
+++ CONDA_PROMPT_MODIFIER='(junda-attnserver) '
+++ export CONDA_PREFIX_1=/mnt/weka/home/hao.zhang/conda/miniconda
+++ CONDA_PREFIX_1=/mnt/weka/home/hao.zhang/conda/miniconda
+++ export CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
+++ CONDA_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/conda
+++ export CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
+++ CONDA_PYTHON_EXE=/mnt/weka/home/hao.zhang/conda/miniconda/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
++ export CHROME_TRACE_PREFIX=/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5
++ CHROME_TRACE_PREFIX=/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5
++ mkdir -p /mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5
++ export PROF_TP_SIZE=4
++ PROF_TP_SIZE=4
++ export PROF_CP_SIZE=8
++ PROF_CP_SIZE=8
++ export PROF_BS=8
++ PROF_BS=8
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=1024
++ PROF_CTX_LENGTH=1024
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L1024*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L1024*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=1024, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 1024 --max-position-embeddings 1024 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 1024 --max-position-embeddings 1024 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 1024 --max-position-embeddings 1024 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 1024 --max-position-embeddings 1024 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:10:10.265000 1769809 site-packages/torch/distributed/run.py:766] 
+W0621 22:10:10.265000 1769809 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:10:10.265000 1769809 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:10:10.265000 1769809 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:10:10.282000 785972 site-packages/torch/distributed/run.py:766] 
+W0621 22:10:10.282000 785972 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:10:10.282000 785972 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:10:10.282000 785972 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:10:10.302000 2050525 site-packages/torch/distributed/run.py:766] 
+W0621 22:10:10.302000 2050525 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:10:10.302000 2050525 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:10:10.302000 2050525 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:10:10.354000 1887512 site-packages/torch/distributed/run.py:766] 
+W0621 22:10:10.354000 1887512 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:10:10.354000 1887512 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:10:10.354000 1887512 site-packages/torch/distributed/run.py:766] *****************************************
+[rank2]:[W621 22:10:32.915562216 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:10:32.917409515 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:10:32.917791585 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:10:32.918250825 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:10:32.921095843 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:10:32.410438512 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:10:32.410463154 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:10:32.410676902 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:10:32.922983940 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:10:32.923313568 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:10:32.519884544 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:10:32.519898353 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:10:32.519956015 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:10:32.519958412 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:10:32.519981391 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:10:32.520036144 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:10:32.520243798 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:10:32.419872774 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:10:32.420729195 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:10:32.421270309 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:10:32.421773454 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:10:32.820795493 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:10:32.820855156 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:10:32.820857811 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:10:32.820873695 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:10:32.820894616 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:10:32.820962093 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:10:32.824174074 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:10:32.603765002 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:10:32.505293992 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:10:32.904750360 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:10:32.081018743 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank0]:[W621 22:11:07.816350525 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:11:07.004509555 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:11:07.509001383 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:11:07.147092397 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:11:07.151961546 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank28]:[W621 22:11:08.880840872 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:11:08.907476919 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:11:08.310401761 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:11:08.924946140 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:11:08.028904064 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 22:11:08.323691375 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:11:08.035865091 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:11:08.443653926 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:11:08.041677089 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:11:08.459540307 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:11:08.342674350 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:11:08.344941809 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank20]:[W621 22:11:08.065258801 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:11:08.978196968 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:11:08.982557800 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:11:08.051469534 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:11:08.155917110 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank24]:[W621 22:11:08.062241700 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:11:08.167155650 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:11:08.253277860 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:11:08.565462236 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 22:11:08.694672862 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:11:08.744972843 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:11:08.627359976 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:11:08.632788014 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank16]:[W621 22:11:08.347643205 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 22:11:08.646396531 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
++ set +x
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=2048
++ PROF_CTX_LENGTH=2048
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L2048*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L2048*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=2048, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
+rm: cannot remove 'gpt-checkpoint/iter_0000010': Directory not empty
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:11:14.511000 789687 site-packages/torch/distributed/run.py:766] 
+W0621 22:11:14.511000 789687 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:11:14.511000 789687 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:11:14.511000 789687 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:11:14.513000 1891168 site-packages/torch/distributed/run.py:766] 
+W0621 22:11:14.513000 1891168 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:11:14.513000 1891168 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:11:14.513000 1891168 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:11:14.524000 1773614 site-packages/torch/distributed/run.py:766] 
+W0621 22:11:14.524000 1773614 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:11:14.524000 1773614 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:11:14.524000 1773614 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:11:14.543000 2054315 site-packages/torch/distributed/run.py:766] 
+W0621 22:11:14.543000 2054315 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:11:14.543000 2054315 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:11:14.543000 2054315 site-packages/torch/distributed/run.py:766] *****************************************
+[rank2]:[W621 22:11:38.877993118 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:11:38.878004981 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:11:38.878155412 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:11:38.879761830 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:11:38.883538140 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:11:38.883565930 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:11:38.885768743 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:11:38.767983322 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:11:38.768157130 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:11:38.768179813 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:11:38.768182093 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:11:38.768200511 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:11:38.768297572 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:11:38.768427335 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:11:38.484119049 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:11:38.484131045 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:11:38.484203422 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:11:38.484204913 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:11:38.484254781 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:11:38.380661909 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:11:38.380660596 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:11:38.380683123 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:11:38.484761831 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:11:38.380746992 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:11:38.380771581 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:11:38.380824174 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:11:38.380824168 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:11:38.487585897 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:11:38.565405203 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:11:38.463755901 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:11:38.871545088 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:11:38.013338936 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank1]:[W621 22:12:08.138781856 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:12:09.239211041 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank0]:[W621 22:12:09.371520020 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:12:09.978068449 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank16]:[W621 22:12:09.211770260 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:12:09.626917635 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 22:12:09.521249849 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank28]:[W621 22:12:09.138618629 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:12:09.160874563 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:12:09.166766217 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 22:12:09.690495653 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:12:09.692737194 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:12:09.291210743 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:12:09.700630805 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:12:09.313471875 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:12:09.315507802 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:12:09.741490124 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:12:09.690611231 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:12:09.694942635 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:12:09.733485551 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:12:09.452593438 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:12:09.454908725 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank20]:[W621 22:12:09.484154051 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:12:09.487271680 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:12:09.786012222 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank24]:[W621 22:12:09.420772320 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:12:09.941133654 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 22:12:09.823318488 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:12:09.431641246 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:12:09.454239166 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:12:09.882626619 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:12:09.520719999 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
++ set +x
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=4096
++ PROF_CTX_LENGTH=4096
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L4096*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L4096*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=4096, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 4096 --max-position-embeddings 4096 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 4096 --max-position-embeddings 4096 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 4096 --max-position-embeddings 4096 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 4096 --max-position-embeddings 4096 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:12:15.778000 2057709 site-packages/torch/distributed/run.py:766] 
+W0621 22:12:15.778000 2057709 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.778000 2057709 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:12:15.778000 2057709 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.778000 1776976 site-packages/torch/distributed/run.py:766] 
+W0621 22:12:15.778000 1776976 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.778000 1776976 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:12:15.778000 1776976 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.781000 1894413 site-packages/torch/distributed/run.py:766] 
+W0621 22:12:15.781000 1894413 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.781000 1894413 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:12:15.781000 1894413 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:12:15.834000 793003 site-packages/torch/distributed/run.py:766] 
+W0621 22:12:15.834000 793003 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:12:15.834000 793003 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:12:15.834000 793003 site-packages/torch/distributed/run.py:766] *****************************************
+[rank1]:[W621 22:12:39.280145913 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:12:39.873673650 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:12:39.281546979 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:12:39.282414860 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:12:39.875609785 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:12:39.772085317 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:12:39.167041852 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:12:39.167191826 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:12:39.167713989 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:12:39.779825075 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:12:39.779980496 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:12:39.885700894 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:12:40.248673442 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:12:40.966875170 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:12:40.966890433 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:12:40.255698727 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:12:40.376103249 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:12:40.376128051 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:12:40.257849676 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:12:40.865624550 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:12:40.866383707 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:12:40.866715777 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:12:40.384532609 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:12:40.384589591 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:12:40.977212649 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:12:40.977301213 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:12:40.265892465 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:12:40.874241045 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:12:40.266729618 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:12:40.978738231 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:12:40.875022559 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:12:40.429847332 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank0]:[W621 22:13:16.798020805 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:13:16.886093742 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank24]:[W621 22:13:16.554511578 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank20]:[W621 22:13:16.658886568 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:13:16.072058444 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:13:16.074665938 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:13:16.573234200 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:13:16.105739849 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 22:13:16.990097704 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:13:16.624299663 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:13:16.778040840 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:13:16.195780064 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:13:16.789003479 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:13:16.077311396 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:13:16.203039306 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:13:16.094187046 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:13:16.096958933 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:13:16.815552205 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 22:13:17.391048433 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:13:17.349466991 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:13:17.379122339 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank16]:[W621 22:13:17.094581020 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:13:17.386213016 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank28]:[W621 22:13:17.000900392 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:13:17.100432392 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:13:17.006406157 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:13:17.024055194 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:13:17.131809944 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 22:13:17.433706670 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:13:17.058233286 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:13:17.168347141 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:13:17.074585569 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
++ set +x
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=8192
++ PROF_CTX_LENGTH=8192
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L8192*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L8192*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=8192, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:13:23.332000 1780371 site-packages/torch/distributed/run.py:766] 
+W0621 22:13:23.332000 1780371 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:13:23.332000 1780371 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:13:23.332000 1780371 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:13:23.336000 2061087 site-packages/torch/distributed/run.py:766] 
+W0621 22:13:23.336000 2061087 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:13:23.336000 2061087 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:13:23.336000 2061087 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:13:23.411000 1897662 site-packages/torch/distributed/run.py:766] 
+W0621 22:13:23.411000 1897662 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:13:23.411000 1897662 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:13:23.411000 1897662 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:13:23.504000 796307 site-packages/torch/distributed/run.py:766] 
+W0621 22:13:23.504000 796307 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:13:23.504000 796307 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:13:23.504000 796307 site-packages/torch/distributed/run.py:766] *****************************************
+[rank7]:[W621 22:13:46.842946185 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:13:46.724319016 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:13:46.843549034 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:13:46.724592996 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:13:46.843717468 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:13:46.726026724 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:13:46.845026540 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:13:46.726108915 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:13:46.845694479 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:13:46.438736146 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:13:46.438745094 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:13:46.848212503 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:13:46.441041977 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:13:46.441077191 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:13:46.337228008 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:13:46.337228005 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:13:46.337231868 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:13:46.441272407 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:13:46.851665714 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:13:46.444924792 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:13:46.733794990 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:13:46.733844274 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:13:46.733857982 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:13:46.446090050 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:13:46.344014782 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:13:46.365226999 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:13:46.365914109 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:13:46.366118435 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:13:46.817663178 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:13:46.541183021 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:13:46.449897935 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:13:46.013885629 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank2]:[W621 22:14:38.125840409 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:14:39.426780894 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:14:39.916812950 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:14:39.482852152 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank0]:[W621 22:14:39.486531814 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:14:39.081799001 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:14:39.417706239 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:14:39.135744892 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:14:39.169718725 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:14:39.481391205 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:14:39.518911861 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank28]:[W621 22:14:39.246912523 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 22:14:39.750681697 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank20]:[W621 22:14:39.471896328 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank16]:[W621 22:14:39.472042941 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:14:39.370889642 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:14:39.899670610 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:14:39.787413787 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:14:39.398672144 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:14:39.922720778 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:14:39.415087252 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:14:39.545572243 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 22:14:39.871624145 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:14:39.884677661 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:14:39.599642642 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:14:39.921907571 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:14:39.633742627 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:14:39.047637520 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 22:14:39.071185408 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank24]:[W621 22:14:39.681022644 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:14:39.687440532 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:14:39.691380204 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
++ set +x
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=12288
++ PROF_CTX_LENGTH=12288
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L12288*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L12288*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=12288, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:14:45.938000 1783770 site-packages/torch/distributed/run.py:766] 
+W0621 22:14:45.938000 1783770 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:14:45.938000 1783770 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:14:45.938000 1783770 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:14:45.947000 2064487 site-packages/torch/distributed/run.py:766] 
+W0621 22:14:45.947000 2064487 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:14:45.947000 2064487 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:14:45.947000 2064487 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:14:45.950000 799647 site-packages/torch/distributed/run.py:766] 
+W0621 22:14:45.950000 799647 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:14:45.950000 799647 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:14:45.950000 799647 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:14:45.952000 1900933 site-packages/torch/distributed/run.py:766] 
+W0621 22:14:45.952000 1900933 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:14:45.952000 1900933 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:14:45.952000 1900933 site-packages/torch/distributed/run.py:766] *****************************************
+[rank6]:[W621 22:15:11.363573868 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:15:11.363583386 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:15:11.363583270 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:15:11.363624266 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:15:11.363958810 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:15:11.364648222 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:15:11.364656033 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:15:11.853291651 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:15:11.853998819 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:15:11.958245066 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:15:11.958273250 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:15:11.958273245 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:15:11.854036867 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:15:11.958294399 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:15:11.855711860 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:15:11.963140699 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:15:11.963750580 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:15:11.259218808 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:15:11.259229550 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:15:11.259298361 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:15:11.259327109 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:15:11.259359666 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:15:11.259385350 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:15:11.971307197 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:15:11.259880947 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:15:11.868137423 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:15:11.868773277 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:15:11.869305785 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:15:11.051795096 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:15:11.953072296 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:15:11.351720707 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:15:11.497455683 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank12]:     iteration, num_floating_point_operations_so_far = train(
+[rank12]:                                                       ^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank12]:     ) = train_step(
+[rank12]:         ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank12]:     losses_reduced = forward_backward_func(
+[rank12]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank12]:     output_tensor, num_tokens = forward_step(
+[rank12]:                                 ^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank12]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank12]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank12]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank12]:     batch = next(global_batches)
+[rank12]:             ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank12]:     attention_mask = torch.ones(
+[rank12]:                      ^^^^^^^^^^^
+[rank12]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 53.31 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank13]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank13]:     iteration, num_floating_point_operations_so_far = train(
+[rank13]:                                                       ^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank13]:     ) = train_step(
+[rank13]:         ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank13]:     losses_reduced = forward_backward_func(
+[rank13]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank13]:     output_tensor, num_tokens = forward_step(
+[rank13]:                                 ^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank13]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank13]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank13]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank13]:     batch = next(global_batches)
+[rank13]:             ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank13]:     attention_mask = torch.ones(
+[rank13]:                      ^^^^^^^^^^^
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank22]:     iteration, num_floating_point_operations_so_far = train(
+[rank22]:                                                       ^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank22]:     ) = train_step(
+[rank22]:         ^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank22]:     losses_reduced = forward_backward_func(
+[rank22]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]:     output_tensor, num_tokens = forward_step(
+[rank22]:                                 ^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank22]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank22]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank22]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank22]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank22]:     batch = next(global_batches)
+[rank22]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank22]:     attention_mask = torch.ones(
+[rank22]:                      ^^^^^^^^^^^
+[rank22]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank3]:     iteration, num_floating_point_operations_so_far = train(
+[rank3]:                                                       ^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank3]:     ) = train_step(
+[rank3]:         ^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank3]:     losses_reduced = forward_backward_func(
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank31]:     iteration, num_floating_point_operations_so_far = train(
+[rank31]:                                                       ^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank31]:     ) = train_step(
+[rank31]:         ^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank31]:     losses_reduced = forward_backward_func(
+[rank31]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:     output_tensor, num_tokens = forward_step(
+[rank3]:                                 ^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank3]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank3]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank3]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank3]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank3]:     batch = next(global_batches)
+[rank3]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:     output_tensor, num_tokens = forward_step(
+[rank31]:                                 ^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank31]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank31]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank31]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank31]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank3]:     attention_mask = torch.ones(
+[rank3]:                      ^^^^^^^^^^^
+[rank3]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 53.42 GiB is free. Including non-PyTorch memory, this process has 86.38 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank31]:     batch = next(global_batches)
+[rank31]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank31]:     attention_mask = torch.ones(
+[rank31]:                      ^^^^^^^^^^^
+[rank31]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 53.37 GiB is free. Including non-PyTorch memory, this process has 86.43 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 211.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank26]:     iteration, num_floating_point_operations_so_far = train(
+[rank26]:                                                       ^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank26]:     ) = train_step(
+[rank26]:         ^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank26]:     losses_reduced = forward_backward_func(
+[rank26]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:     output_tensor, num_tokens = forward_step(
+[rank26]:                                 ^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank26]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank26]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank26]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank26]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank26]:     batch = next(global_batches)
+[rank26]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank26]:     attention_mask = torch.ones(
+[rank26]:                      ^^^^^^^^^^^
+[rank26]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 53.34 GiB is free. Including non-PyTorch memory, this process has 86.46 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 231.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank17]:     iteration, num_floating_point_operations_so_far = train(
+[rank17]:                                                       ^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank17]:     ) = train_step(
+[rank17]:         ^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank17]:     losses_reduced = forward_backward_func(
+[rank17]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:     output_tensor, num_tokens = forward_step(
+[rank17]:                                 ^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank17]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank17]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank17]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank17]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank5]:     iteration, num_floating_point_operations_so_far = train(
+[rank5]:                                                       ^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank5]:     ) = train_step(
+[rank5]:         ^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank5]:     losses_reduced = forward_backward_func(
+[rank5]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank17]:     batch = next(global_batches)
+[rank17]:             ^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank17]:     attention_mask = torch.ones(
+[rank17]:                      ^^^^^^^^^^^
+[rank17]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]:     output_tensor, num_tokens = forward_step(
+[rank5]:                                 ^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank5]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank5]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank5]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank5]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank5]:     batch = next(global_batches)
+[rank5]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank18]:     iteration, num_floating_point_operations_so_far = train(
+[rank18]:                                                       ^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank18]:     ) = train_step(
+[rank18]:         ^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank18]:     losses_reduced = forward_backward_func(
+[rank18]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank5]:     attention_mask = torch.ones(
+[rank5]:                      ^^^^^^^^^^^
+[rank5]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 53.42 GiB is free. Including non-PyTorch memory, this process has 86.38 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:     output_tensor, num_tokens = forward_step(
+[rank18]:                                 ^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank18]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank18]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank18]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank18]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank11]:     iteration, num_floating_point_operations_so_far = train(
+[rank11]:                                                       ^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank11]:     ) = train_step(
+[rank11]:         ^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank11]:     losses_reduced = forward_backward_func(
+[rank11]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank0]:     iteration, num_floating_point_operations_so_far = train(
+[rank0]:                                                       ^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank0]:     ) = train_step(
+[rank0]:         ^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank0]:     losses_reduced = forward_backward_func(
+[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank18]:     batch = next(global_batches)
+[rank18]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank18]:     attention_mask = torch.ones(
+[rank18]:                      ^^^^^^^^^^^
+[rank18]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:     output_tensor, num_tokens = forward_step(
+[rank11]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank11]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank11]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank11]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank11]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:     output_tensor, num_tokens = forward_step(
+[rank0]:                                 ^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank0]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank0]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank0]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank0]:     batch = next(global_batches)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank28]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]:                                                       ^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank28]:     ) = train_step(
+[rank28]:         ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:     losses_reduced = forward_backward_func(
+[rank28]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank11]:     batch = next(global_batches)
+[rank11]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank11]:     attention_mask = torch.ones(
+[rank11]:                      ^^^^^^^^^^^
+[rank11]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank0]:     attention_mask = torch.ones(
+[rank0]:                      ^^^^^^^^^^^
+[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 52.58 GiB is free. Including non-PyTorch memory, this process has 87.21 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 1015.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]:     output_tensor, num_tokens = forward_step(
+[rank28]:                                 ^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank28]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank28]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank28]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank10]:     iteration, num_floating_point_operations_so_far = train(
+[rank10]:                                                       ^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank10]:     ) = train_step(
+[rank10]:         ^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank10]:     losses_reduced = forward_backward_func(
+[rank10]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank28]:     batch = next(global_batches)
+[rank28]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank28]:     attention_mask = torch.ones(
+[rank28]:                      ^^^^^^^^^^^
+[rank28]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 53.35 GiB is free. Including non-PyTorch memory, this process has 86.44 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 211.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank10]:     output_tensor, num_tokens = forward_step(
+[rank10]:                                 ^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank10]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank10]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank10]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank10]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank10]:     batch = next(global_batches)
+[rank10]:             ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank10]:     attention_mask = torch.ones(
+[rank10]:                      ^^^^^^^^^^^
+[rank10]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank8]:     iteration, num_floating_point_operations_so_far = train(
+[rank8]:                                                       ^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank8]:     ) = train_step(
+[rank8]:         ^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank8]:     losses_reduced = forward_backward_func(
+[rank8]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank2]:     iteration, num_floating_point_operations_so_far = train(
+[rank2]:                                                       ^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank2]:     ) = train_step(
+[rank2]:         ^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank2]:     losses_reduced = forward_backward_func(
+[rank2]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank8]:     output_tensor, num_tokens = forward_step(
+[rank8]:                                 ^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank8]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank8]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank8]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank8]:     batch = next(global_batches)
+[rank8]:             ^^^^^^^^^^^^^^^^^^^^
+[rank2]:     output_tensor, num_tokens = forward_step(
+[rank2]:                                 ^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank2]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank2]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank2]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank2]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank2]:     batch = next(global_batches)
+[rank2]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank25]:     iteration, num_floating_point_operations_so_far = train(
+[rank25]:                                                       ^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank25]:     ) = train_step(
+[rank25]:         ^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank25]:     losses_reduced = forward_backward_func(
+[rank25]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank8]:     attention_mask = torch.ones(
+[rank8]:                      ^^^^^^^^^^^
+[rank8]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 53.31 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank2]:     attention_mask = torch.ones(
+[rank2]:                      ^^^^^^^^^^^
+[rank2]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 53.43 GiB is free. Including non-PyTorch memory, this process has 86.37 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:     output_tensor, num_tokens = forward_step(
+[rank25]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank25]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank25]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank25]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank25]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank15]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:                                                       ^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank15]:     ) = train_step(
+[rank15]:         ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank15]:     losses_reduced = forward_backward_func(
+[rank15]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank15]:     output_tensor, num_tokens = forward_step(
+[rank15]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank25]:     batch = next(global_batches)
+[rank25]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank25]:     attention_mask = torch.ones(
+[rank25]:                      ^^^^^^^^^^^
+[rank25]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 53.28 GiB is free. Including non-PyTorch memory, this process has 86.52 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 307.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank30]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]:                                                       ^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank30]:     ) = train_step(
+[rank30]:         ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank30]:     losses_reduced = forward_backward_func(
+[rank30]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank15]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank15]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank15]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank15]:     batch = next(global_batches)
+[rank15]:             ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank15]:     attention_mask = torch.ones(
+[rank15]:                      ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank30]:     output_tensor, num_tokens = forward_step(
+[rank30]:                                 ^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank30]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank30]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 52.49 GiB is free. Including non-PyTorch memory, this process has 87.31 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 1015.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank30]:     batch = next(global_batches)
+[rank30]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank30]:     attention_mask = torch.ones(
+[rank30]:                      ^^^^^^^^^^^
+[rank30]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 53.34 GiB is free. Including non-PyTorch memory, this process has 86.46 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 231.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]: Traceback (most recent call last):
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank9]:     iteration, num_floating_point_operations_so_far = train(
+[rank9]:                                                       ^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank9]:     ) = train_step(
+[rank9]:         ^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank9]:     losses_reduced = forward_backward_func(
+[rank9]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank24]:     iteration, num_floating_point_operations_so_far = train(
+[rank24]:                                                       ^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank24]:     ) = train_step(
+[rank24]:         ^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank24]:     losses_reduced = forward_backward_func(
+[rank24]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank21]:     iteration, num_floating_point_operations_so_far = train(
+[rank21]:                                                       ^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank21]:     ) = train_step(
+[rank21]:         ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank21]:     losses_reduced = forward_backward_func(
+[rank21]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:     output_tensor, num_tokens = forward_step(
+[rank9]:                                 ^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank9]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank9]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank9]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank9]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank9]:     batch = next(global_batches)
+[rank9]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, num_tokens = forward_step(
+[rank24]:                                 ^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:     output_tensor, num_tokens = forward_step(
+[rank21]:                                 ^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank21]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank21]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank21]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank9]:     attention_mask = torch.ones(
+[rank9]:                      ^^^^^^^^^^^
+[rank9]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank7]:     iteration, num_floating_point_operations_so_far = train(
+[rank7]:                                                       ^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank7]:     ) = train_step(
+[rank7]:         ^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank7]:     losses_reduced = forward_backward_func(
+[rank7]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank24]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank24]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank24]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank24]:     batch = next(global_batches)
+[rank24]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank24]:     attention_mask = torch.ones(
+[rank24]:                      ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank21]:     batch = next(global_batches)
+[rank21]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank21]:     attention_mask = torch.ones(
+[rank21]:                      ^^^^^^^^^^^
+[rank21]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:     output_tensor, num_tokens = forward_step(
+[rank7]:                                 ^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank7]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank7]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank7]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank7]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank7]:     batch = next(global_batches)
+[rank7]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 53.26 GiB is free. Including non-PyTorch memory, this process has 86.54 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 307.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank23]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:                                                       ^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank23]:     ) = train_step(
+[rank23]:         ^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank23]:     losses_reduced = forward_backward_func(
+[rank23]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank7]:     attention_mask = torch.ones(
+[rank7]:                      ^^^^^^^^^^^
+[rank7]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 53.42 GiB is free. Including non-PyTorch memory, this process has 86.38 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:     output_tensor, num_tokens = forward_step(
+[rank23]:                                 ^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank23]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank23]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank23]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank1]:     iteration, num_floating_point_operations_so_far = train(
+[rank1]:                                                       ^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank1]:     ) = train_step(
+[rank1]:         ^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank1]:     losses_reduced = forward_backward_func(
+[rank1]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank23]:     batch = next(global_batches)
+[rank23]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank23]:     attention_mask = torch.ones(
+[rank23]:                      ^^^^^^^^^^^
+[rank23]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank14]:     iteration, num_floating_point_operations_so_far = train(
+[rank14]:                                                       ^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank14]:     ) = train_step(
+[rank14]:         ^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank14]:     losses_reduced = forward_backward_func(
+[rank14]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:     output_tensor, num_tokens = forward_step(
+[rank1]:                                 ^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank1]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank1]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank1]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank1]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank1]:     batch = next(global_batches)
+[rank1]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank20]:     iteration, num_floating_point_operations_so_far = train(
+[rank20]:                                                       ^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank20]:     ) = train_step(
+[rank20]:         ^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank20]:     losses_reduced = forward_backward_func(
+[rank20]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]:     output_tensor, num_tokens = forward_step(
+[rank14]:                                 ^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank14]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank14]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank14]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank14]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank1]:     attention_mask = torch.ones(
+[rank1]:                      ^^^^^^^^^^^
+[rank1]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 53.42 GiB is free. Including non-PyTorch memory, this process has 86.38 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:     output_tensor, num_tokens = forward_step(
+[rank20]:                                 ^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank20]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank20]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank20]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank20]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank14]:     batch = next(global_batches)
+[rank14]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank14]:     attention_mask = torch.ones(
+[rank14]:                      ^^^^^^^^^^^
+[rank14]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank6]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:                                                       ^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank6]:     ) = train_step(
+[rank6]:         ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank6]:     losses_reduced = forward_backward_func(
+[rank6]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank20]:     batch = next(global_batches)
+[rank20]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank20]:     attention_mask = torch.ones(
+[rank20]:                      ^^^^^^^^^^^
+[rank20]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]:     output_tensor, num_tokens = forward_step(
+[rank6]:                                 ^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank6]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank6]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank6]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank6]:     batch = next(global_batches)
+[rank6]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank19]:     iteration, num_floating_point_operations_so_far = train(
+[rank19]:                                                       ^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank19]:     ) = train_step(
+[rank19]:         ^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank19]:     losses_reduced = forward_backward_func(
+[rank19]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank6]:     attention_mask = torch.ones(
+[rank6]:                      ^^^^^^^^^^^
+[rank6]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 53.43 GiB is free. Including non-PyTorch memory, this process has 86.37 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank27]:     iteration, num_floating_point_operations_so_far = train(
+[rank27]:                                                       ^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank27]:     ) = train_step(
+[rank27]:         ^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank27]:     losses_reduced = forward_backward_func(
+[rank27]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:     output_tensor, num_tokens = forward_step(
+[rank19]:                                 ^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank19]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank19]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank19]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank19]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:     output_tensor, num_tokens = forward_step(
+[rank27]:                                 ^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank27]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank27]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank27]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank27]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank19]:     batch = next(global_batches)
+[rank19]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank19]:     attention_mask = torch.ones(
+[rank19]:                      ^^^^^^^^^^^
+[rank19]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 53.32 GiB is free. Including non-PyTorch memory, this process has 86.48 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank27]:     batch = next(global_batches)
+[rank27]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank27]:     attention_mask = torch.ones(
+[rank27]:                      ^^^^^^^^^^^
+[rank27]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 53.28 GiB is free. Including non-PyTorch memory, this process has 86.52 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 307.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank16]:     iteration, num_floating_point_operations_so_far = train(
+[rank16]:                                                       ^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank16]:     ) = train_step(
+[rank16]:         ^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank16]:     losses_reduced = forward_backward_func(
+[rank16]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank29]: Traceback (most recent call last):
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank29]:     iteration, num_floating_point_operations_so_far = train(
+[rank29]:                                                       ^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank29]:     ) = train_step(
+[rank29]:         ^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank29]:     losses_reduced = forward_backward_func(
+[rank29]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:     output_tensor, num_tokens = forward_step(
+[rank16]:                                 ^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank16]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank16]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank16]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank16]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank4]:     iteration, num_floating_point_operations_so_far = train(
+[rank4]:                                                       ^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank4]:     ) = train_step(
+[rank4]:         ^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank4]:     losses_reduced = forward_backward_func(
+[rank4]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:     output_tensor, num_tokens = forward_step(
+[rank29]:                                 ^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank29]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank29]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank29]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank29]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank16]:     batch = next(global_batches)
+[rank16]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank16]:     attention_mask = torch.ones(
+[rank16]:                      ^^^^^^^^^^^
+[rank16]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 53.33 GiB is free. Including non-PyTorch memory, this process has 86.47 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank4]:     output_tensor, num_tokens = forward_step(
+[rank4]:                                 ^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank4]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank4]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank4]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank4]:     batch = next(global_batches)
+[rank4]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank29]:     batch = next(global_batches)
+[rank29]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank29]:     attention_mask = torch.ones(
+[rank29]:                      ^^^^^^^^^^^
+[rank29]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 53.35 GiB is free. Including non-PyTorch memory, this process has 86.45 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 231.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank4]:     attention_mask = torch.ones(
+[rank4]:                      ^^^^^^^^^^^
+[rank4]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 72.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 53.43 GiB is free. Including non-PyTorch memory, this process has 86.37 GiB memory in use. Of the allocated memory 82.59 GiB is allocated by PyTorch, and 151.98 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]:[W621 22:15:41.386748903 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:15:41.417779010 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:15:41.482866402 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:15:41.249938095 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:15:41.254665236 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:15:41.261291537 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:15:41.803181270 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:15:41.409042987 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:15:41.714449328 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:15:41.753758071 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:15:41.475472973 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:15:41.788222964 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:15:41.516677111 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:15:41.523637529 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:15:41.637422903 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:15:41.542787255 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:15:41.660935140 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:15:41.956909207 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:15:41.005936508 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:15:41.050322469 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:15:41.175340282 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:15:41.668248556 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:15:41.210002062 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:15:42.949119696 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:15:42.800000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799737 closing signal SIGTERM
+W0621 22:15:42.811000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799739 closing signal SIGTERM
+W0621 22:15:42.811000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799740 closing signal SIGTERM
+W0621 22:15:42.812000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799741 closing signal SIGTERM
+W0621 22:15:42.814000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799742 closing signal SIGTERM
+W0621 22:15:42.815000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799743 closing signal SIGTERM
+W0621 22:15:42.815000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 799744 closing signal SIGTERM
+W0621 22:15:43.001000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901003 closing signal SIGTERM
+W0621 22:15:43.004000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901004 closing signal SIGTERM
+W0621 22:15:43.005000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901005 closing signal SIGTERM
+W0621 22:15:43.006000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901006 closing signal SIGTERM
+W0621 22:15:43.006000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901007 closing signal SIGTERM
+W0621 22:15:43.009000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901008 closing signal SIGTERM
+W0621 22:15:43.009000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1901010 closing signal SIGTERM
+W0621 22:15:43.194000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783840 closing signal SIGTERM
+W0621 22:15:43.197000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783841 closing signal SIGTERM
+W0621 22:15:43.198000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783843 closing signal SIGTERM
+W0621 22:15:43.199000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783844 closing signal SIGTERM
+W0621 22:15:43.201000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783845 closing signal SIGTERM
+W0621 22:15:43.202000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783846 closing signal SIGTERM
+W0621 22:15:43.202000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1783847 closing signal SIGTERM
+W0621 22:15:43.284000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064557 closing signal SIGTERM
+W0621 22:15:43.286000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064558 closing signal SIGTERM
+W0621 22:15:43.287000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064559 closing signal SIGTERM
+W0621 22:15:43.288000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064560 closing signal SIGTERM
+W0621 22:15:43.288000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064561 closing signal SIGTERM
+W0621 22:15:43.290000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064562 closing signal SIGTERM
+W0621 22:15:43.291000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2064563 closing signal SIGTERM
+E0621 22:15:45.184000 799647 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 799738) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:15:42
+  host      : fs-mbz-gpu-600
+  rank      : 1 (local_rank: 1)
+  exitcode  : 1 (pid: 799738)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:15:45.377000 1900933 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 6 (pid: 1901009) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:15:45.398000 1900933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1900933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:45.192907456 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-816]:44826, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14ddef3785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14ddd865aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14ddd865c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14ddd865db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x14ddd8657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x14ddd8657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x14ddd8658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x14dde798b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x14dde70fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x14ddf068fd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x14ddf068fe40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:45.410000 1900933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1900933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:45.203875597 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-816]:44826, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14ddef3785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14ddd865aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14ddd865c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14ddd865db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x14ddd8657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x14ddd8657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x14ddd8658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x14dde798b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x14dde70fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x14ddf068fd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x14ddf068fe40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:45.420000 1900933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1900933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:15:43
+  host      : fs-mbz-gpu-816
+  rank      : 30 (local_rank: 6)
+  exitcode  : 1 (pid: 1901009)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
+E0621 22:15:45.610000 2064487 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 7 (pid: 2064564) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:15:45.623000 2064487 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2064487_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:45.809925963 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:56210, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x153b7bd785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x153b6505aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x153b6505c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x153b6505db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x153b65057ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x153b65057ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x153b65058f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x153b7438b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x153b73afb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x153b7d09cd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x153b7d09ce40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:45.635000 2064487 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2064487_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:45.821038144 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:56210, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x153b7bd785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x153b6505aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x153b6505c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x153b6505db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x153b65057ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x153b65057ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x153b65058f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x153b7438b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x153b73afb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x153b7d09cd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x153b7d09ce40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:45.648000 2064487 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2064487_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:15:43
+  host      : fs-mbz-gpu-702
+  rank      : 15 (local_rank: 7)
+  exitcode  : 1 (pid: 2064564)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
+W0621 22:15:46.683000 1783770 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1341] The node 'fs-mbz-gpu-717_1783770_0' has failed to send a keep-alive heartbeat to the rendezvous '343216' due to an error of type RendezvousConnectionError.
+E0621 22:15:47.787000 1783770 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 2 (pid: 1783842) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+[W621 22:15:47.685866077 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:57568, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x151b609785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x151b4985aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x151b4985c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x151b4985db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x151b49857ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x151b49857ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x151b49858f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x151b58b8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x151b582fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x151b61a1dd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x151b61a1de40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:47.806000 1783770 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1783770_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:47.704879965 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:57568, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x151b609785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x151b4985aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x151b4985c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x151b4985db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x151b49857ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x151b49857ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x151b49858f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x151b58b8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x151b582fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x151b61a1dd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x151b61a1de40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:47.836000 1783770 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1783770_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:15:47.733962831 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:57568, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x151b609785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x151b4985aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x151b4985c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x151b4985db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x151b49857ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x151b49857ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x151b49858f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x151b58b8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x151b582fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x151b61a1dd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x151b61a1de40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:15:47.856000 1783770 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1783770_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:15:43
+  host      : fs-mbz-gpu-717
+  rank      : 18 (local_rank: 2)
+  exitcode  : 1 (pid: 1783842)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=16384
++ PROF_CTX_LENGTH=16384
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L16384*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L16384*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=16384, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 16384 --max-position-embeddings 16384 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 16384 --max-position-embeddings 16384 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 16384 --max-position-embeddings 16384 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 16384 --max-position-embeddings 16384 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:15:50.983000 1903933 site-packages/torch/distributed/run.py:766] 
+W0621 22:15:50.983000 1903933 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:15:50.983000 1903933 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:15:50.983000 1903933 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:15:51.091000 802731 site-packages/torch/distributed/run.py:766] 
+W0621 22:15:51.091000 802731 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:15:51.091000 802731 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:15:51.091000 802731 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:15:51.091000 1786825 site-packages/torch/distributed/run.py:766] 
+W0621 22:15:51.091000 1786825 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:15:51.091000 1786825 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:15:51.091000 1786825 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:15:51.096000 2067616 site-packages/torch/distributed/run.py:766] 
+W0621 22:15:51.096000 2067616 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:15:51.096000 2067616 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:15:51.096000 2067616 site-packages/torch/distributed/run.py:766] *****************************************
+[rank14]:[W621 22:16:14.536327016 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:16:14.536326968 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:16:14.656039198 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:16:14.656441586 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:16:14.146101211 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:16:14.146110685 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:16:14.250126478 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:16:14.250184746 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:16:14.673052610 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:16:14.163938605 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:16:14.554644719 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:16:14.267076280 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:16:14.673100282 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:16:14.673118707 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:16:14.554845857 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:16:14.673253113 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:16:14.555542117 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:16:14.268665713 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:16:14.675613828 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:16:14.268737990 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:16:14.268737984 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:16:14.277032898 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:16:14.566638140 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:16:14.566774953 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:16:14.175370133 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:16:14.175370127 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:16:14.175896456 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:16:14.176667438 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:16:14.357538012 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:16:14.650321293 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:16:14.267053973 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:16:14.826894912 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py:915: FutureWarning: `load_state_dict` is deprecated and will be removed in future versions. Please use `load` instead.
+  checkpoint.load_state_dict(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/planner_helpers.py:406: FutureWarning: Please use DTensor instead and we are deprecating ShardedTensor.
+  device = getattr(value, "device", None)
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank8]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank8]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank8]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank8]:                                                                 ^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank8]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank8]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank8]:     return _load_global_dist_base_checkpoint(
+[rank8]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank8]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank8]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank5]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank5]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank5]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank5]:                                                                 ^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank5]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank30]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank30]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank30]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank30]:                                                                 ^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank30]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank8]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank8]:     checkpoint.load_state_dict(
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank8]:     return arg(*args, **kwargs)
+[rank8]:            ^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank8]:     return _load_state_dict(
+[rank8]:            ^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank5]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank5]:     return _load_global_dist_base_checkpoint(
+[rank5]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank5]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank5]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank30]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank30]:     return _load_global_dist_base_checkpoint(
+[rank30]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank30]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank30]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank8]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank8]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank8]:     raise result
+[rank8]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank8]: Traceback (most recent call last): (RANK 0)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank21]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank21]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank21]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank21]:                                                                 ^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank21]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank5]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank5]:     checkpoint.load_state_dict(
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank5]:     return arg(*args, **kwargs)
+[rank5]:            ^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank5]:     return _load_state_dict(
+[rank5]:            ^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank30]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank30]:     checkpoint.load_state_dict(
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank30]:     return arg(*args, **kwargs)
+[rank30]:            ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank30]:     return _load_state_dict(
+[rank30]:            ^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank21]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank21]:     return _load_global_dist_base_checkpoint(
+[rank21]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank21]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank21]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank5]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank5]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank5]:     raise result
+[rank5]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank5]: Traceback (most recent call last): (RANK 0)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank30]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank30]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank30]:     raise result
+[rank30]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank30]: Traceback (most recent call last): (RANK 0)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank21]:     checkpoint.load_state_dict(
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank21]:     return arg(*args, **kwargs)
+[rank21]:            ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank21]:     return _load_state_dict(
+[rank21]:            ^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]: Traceback (most recent call last): (RANK 1)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank21]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank21]:     raise result
+[rank21]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank21]: Traceback (most recent call last): (RANK 0)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 2)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]: Traceback (most recent call last): (RANK 1)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 1)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 2)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 2)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 1)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]: Traceback (most recent call last): (RANK 3)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 2)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 4)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]: Traceback (most recent call last): (RANK 3)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 3)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 4)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 4)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 5)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 3)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 4)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 5)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 5)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 6)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 6)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 5)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 6)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 7)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 6)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 7)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 8)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 7)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 7)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 8)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank30]: Traceback (most recent call last): (RANK 8)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]: Traceback (most recent call last): (RANK 9)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]: Traceback (most recent call last): (RANK 8)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 9)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 10)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]: Traceback (most recent call last): (RANK 9)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 9)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 10)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 10)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]: Traceback (most recent call last): (RANK 11)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 10)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 11)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 12)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]: Traceback (most recent call last): (RANK 11)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 11)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 12)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 12)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 13)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 13)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 12)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 13)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 14)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 13)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 14)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 14)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 15)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 15)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 16)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 14)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 15)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 15)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 16)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 16)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]: Traceback (most recent call last): (RANK 17)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 17)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 18)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 16)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]: Traceback (most recent call last): (RANK 17)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 17)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 18)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 18)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 19)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]: Traceback (most recent call last): (RANK 19)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 18)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 20)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 19)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]: Traceback (most recent call last): (RANK 19)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 20)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 20)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 21)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 20)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]: Traceback (most recent call last): (RANK 21)
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 21)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 22)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]: Traceback (most recent call last): (RANK 21)
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 22)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 22)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 23)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 22)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 23)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 24)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 23)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 23)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 24)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 24)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]: Traceback (most recent call last): (RANK 25)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 24)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 25)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 26)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]: Traceback (most recent call last): (RANK 25)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 26)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 25)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 26)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 26)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]: Traceback (most recent call last): (RANK 27)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 27)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 28)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]: Traceback (most recent call last): (RANK 27)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 28)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 27)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 28)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 29)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 28)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:     raise CheckpointingException(_msg)
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 29)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 29)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 30)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     raise CheckpointingException(_msg)
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 30)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 29)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 30)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank8]: Traceback (most recent call last): (RANK 31)
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank8]:     local_data = map_fun()
+[rank8]:                  ^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank8]:     result = func(*args, **kwargs)
+[rank8]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 30)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank30]: Traceback (most recent call last): (RANK 31)
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank30]:     local_data = map_fun()
+[rank30]:                  ^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank30]:     result = func(*args, **kwargs)
+[rank30]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank8]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank8]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank8]:     raise CheckpointingException(_msg)
+[rank8]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank5]: Traceback (most recent call last): (RANK 31)
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank5]:     local_data = map_fun()
+[rank5]:                  ^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank5]:     result = func(*args, **kwargs)
+[rank5]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:     local_plan = planner.create_local_plan()
+[rank30]:     local_plan = planner.create_local_plan()
+[rank30]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank30]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank30]:     raise CheckpointingException(_msg)
+[rank30]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank15]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank15]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank21]: Traceback (most recent call last): (RANK 31)
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank21]:     local_data = map_fun()
+[rank21]:                  ^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank21]:     result = func(*args, **kwargs)
+[rank21]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank5]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank5]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank5]:     raise CheckpointingException(_msg)
+[rank5]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank25]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank25]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank25]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank25]:                                                                 ^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank25]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank25]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank15]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank15]:                                                                 ^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank15]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank15]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank15]:     return _load_global_dist_base_checkpoint(
+[rank15]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:     local_plan = planner.create_local_plan()
+[rank21]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank21]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank21]:     raise CheckpointingException(_msg)
+[rank21]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank7]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank7]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank25]:     return _load_global_dist_base_checkpoint(
+[rank25]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank25]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank25]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank25]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank15]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank15]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank15]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank15]:     checkpoint.load_state_dict(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank22]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank22]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank22]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank22]:                                                                 ^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank22]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank22]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank7]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank7]:                                                                 ^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank7]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank7]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank7]:     return _load_global_dist_base_checkpoint(
+[rank7]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank25]:     checkpoint.load_state_dict(
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank25]:     return arg(*args, **kwargs)
+[rank25]:            ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank25]:     return _load_state_dict(
+[rank25]:            ^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank25]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank15]:     return arg(*args, **kwargs)
+[rank15]:            ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank15]:     return _load_state_dict(
+[rank15]:            ^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank15]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank15]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank22]:     return _load_global_dist_base_checkpoint(
+[rank22]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank22]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank22]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank22]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank7]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank7]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank7]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank7]:     checkpoint.load_state_dict(
+[rank25]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank15]:     raise result
+[rank15]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank15]: Traceback (most recent call last): (RANK 0)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank22]:     checkpoint.load_state_dict(
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank22]:     return arg(*args, **kwargs)
+[rank22]:            ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank22]:     return _load_state_dict(
+[rank22]:            ^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank22]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank7]:     return arg(*args, **kwargs)
+[rank7]:            ^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank7]:     return _load_state_dict(
+[rank7]:            ^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank7]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank7]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank25]:     raise result
+[rank25]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank25]: Traceback (most recent call last): (RANK 0)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank7]:     raise result
+[rank7]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank7]: Traceback (most recent call last): (RANK 0)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 1)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank22]:     raise result
+[rank22]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank22]: Traceback (most recent call last): (RANK 0)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last): (RANK 1)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 1)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 2)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 2)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank22]: Traceback (most recent call last): (RANK 1)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 3)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 2)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 2)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]:                  ^^^^^^^^^
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 3)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank25]: Traceback (most recent call last): (RANK 3)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]:                  ^^^^^^^^^
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 4)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 4)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank22]: Traceback (most recent call last): (RANK 3)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 5)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 4)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 4)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 5)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank25]: Traceback (most recent call last): (RANK 5)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 6)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank10]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank10]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank10]:                                                                 ^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank10]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank10]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank10]:     return _load_global_dist_base_checkpoint(
+[rank22]: Traceback (most recent call last): (RANK 5)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     raise CheckpointingException(_msg)
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank10]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank10]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank10]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank10]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank10]:     checkpoint.load_state_dict(
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 6)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 6)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 7)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank10]:     return arg(*args, **kwargs)
+[rank10]:            ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank10]:     return _load_state_dict(
+[rank10]:            ^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank10]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank10]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 7)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank10]:     raise result
+[rank10]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank10]: Traceback (most recent call last): (RANK 0)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 7)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 8)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 8)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/minicond[rank3]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank28]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank28]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank28]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank28]:                                                                 ^^^^^^^^^^^^^^^^
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 1)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 8)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank28]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank28]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank28]:     return _load_global_dist_base_checkpoint(
+[rank28]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank28]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank20]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank20]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank20]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank20]:                                                                 ^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank3]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank3]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank3]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank3]:                                                                 ^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank3]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank3]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank28]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank28]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank28]:     checkpoint.load_state_dict(
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank28]:     return arg(*args, **kwargs)
+[rank28]:            ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank28]:     return _load_state_dict(
+[rank28]:            ^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 2)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank20]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank20]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank20]:     return _load_global_dist_base_checkpoint(
+[rank20]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank20]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank3]:     return _load_global_dist_base_checkpoint(
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank3]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank3]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank3]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank28]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank28]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank28]:     raise result
+[rank28]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank28]: Traceback (most recent call last): (RANK 0)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd, line 605, in create_local_plan
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank20]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank20]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank20]:     checkpoint.load_state_dict(
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank20]:     return arg(*args, **kwargs)
+[rank20]:            ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank20]:     return _load_state_dict(
+[rank20]:            ^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank3]:     checkpoint.load_state_dict(
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank3]:     return arg(*args, **kwargs)
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank3]:     return _load_state_dict(
+[rank3]:            ^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank3]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     re 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank20]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank20]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank20]:     raise result
+[rank20]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank20]: Traceback (most recent call last): (RANK 0)
+[rank3]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank3]:     raise result
+[rank3]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank3]: Traceback (most recent call last): (RANK 0)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 9)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 6)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     re[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank16]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank16]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:    [rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank16]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank16]:                                                                 ^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank16]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank16]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank16]:     return _load_global_dist_base_checkpoint(
+[rank16]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank2]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank2]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank2]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank2]:                                                                 ^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank2]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank2]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 10)
+[rank15]: Traceback (most recent call last): (RANK 7)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank16]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank16]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank16]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank16]:     checkpoint.load_state_dict(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank2]:     return _load_global_dist_base_checkpoint(
+[rank2]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank2]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank2]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank2]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 8)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank16]:     return arg(*args, **kwargs)
+[rank16]:            ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank16]:     return _load_state_dict(
+[rank16]:            ^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank2]:     checkpoint.load_state_dict(
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank2]:     return arg(*args, **kwargs)
+[rank2]:            ^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank2]:     return _load_state_dict(
+[rank2]:            ^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank2]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank24]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank24]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line[rank13]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank16]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank16]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank16]:     raise result
+[rank16]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank16]: Traceback (most recent call last): (RANK 0)
+[rank2]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank2]:     raise result
+[rank2]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank2]: Traceback (most recent call last): (RANK 0)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank24]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank24]:                                                                 ^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank24]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank24]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank24]:     return _load_global_dist_base_checkpoint(
+[rank24]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank13]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank13]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank13]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank13]:                                                                 ^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank13]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     re 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:    [rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank24]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank24]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank24]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank24]:     checkpoint.load_state_dict(
+[rank13]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank13]:     return _load_global_dist_base_checkpoint(
+[rank13]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank13]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank13]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 9)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank6]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank6]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank6]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank6]:                                                                 ^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank6]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank6]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank24]:     return arg(*args, **kwargs)
+[rank24]:            ^^^^^^^^^^^^^^^^^^^^
+[rank13]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank13]:     checkpoint.load_state_dict(
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank13]:     return arg(*args, **kwargs)
+[rank13]:            ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank13]:     return _load_state_dict(
+[rank13]:            ^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank6]:     return _load_global_dist_base_checkpoint(
+[rank6]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank6]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank6]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank6]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank24]:     return _load_state_dict(
+[rank24]:            ^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank24]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank24]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank24]:     raise result
+[rank13]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank13]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank13]:     raise result
+[rank13]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank13]: Traceback (most recent call last): (RANK 0)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 10)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank6]:     checkpoint.load_state_dict(
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank6]:     return arg(*args, **kwargs)
+[rank6]:            ^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank6]:     return _load_state_dict(
+[rank6]:            ^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank6]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank24]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank24]: Traceback (most recent call last): (RANK 0)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     re[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     re[rank9]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank6]:     raise result
+[rank6]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank6]: Traceback (most recent call last): (RANK 0)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank27]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank27]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank27]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank27]:                                                                 ^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank27]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank27]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank9]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank9]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank9]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank9]:                                                                 ^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank9]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank19]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank19]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:    a/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank27]:     return _load_global_dist_base_checkpoint(
+[rank27]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank27]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank27]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank27]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank9]:     return _load_global_dist_base_checkpoint(
+[rank9]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank9]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank9]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank19]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank19]:                                                                 ^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank19]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank19]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank19]:     return _load_global_dist_base_checkpoint(
+[rank19]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 9)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank27]:     checkpoint.load_state_dict(
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank27]:     return arg(*args, **kwargs)
+[rank27]:            ^^^^^^^^^^^^^^^^^^^^
+[rank9]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank9]:     checkpoint.load_state_dict(
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank9]:     return arg(*args, **kwargs)
+[rank9]:            ^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank9]:     return _load_state_dict(
+[rank9]:            ^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank19]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank19]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank19]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank19]:     checkpoint.load_state_dict(
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank27]:     return _load_state_dict(
+[rank27]:            ^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank27]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank27]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank27]:     raise result
+[rank9]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank9]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank9]:     raise result
+[rank9]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank9]: Traceback (most recent call last): (RANK 0)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank19]:     return arg(*args, **kwargs)
+[rank19]:            ^^^^^^^^^^^^^^^^^^^^
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 10)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank27]: Traceback (most recent call last): (RANK 0)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     re[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:    ing.position_embeddings.weight
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank19]:     return _load_state_dict(
+[rank19]:            ^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank19]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank19]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank19]:     raise result
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 11)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/li          ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank26]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank26]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank26]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank26]:                                                                 ^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank26]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank26]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]: Traceback (most recent call last): (RANK 3)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank19]: Traceback (most recent call last): (RANK 0)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     re[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 1)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank26]:     return _load_global_dist_base_checkpoint(
+[rank26]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank26]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank26]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank26]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 4)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank17]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank17]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank17]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank17]:                                                                 ^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank17]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank17]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank26]:     checkpoint.load_state_dict(
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank26]:     return arg(*args, **kwargs)
+[rank26]:            ^^^^^^^^^^^^^^^^^^^^
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank17]:     return _load_global_dist_base_checkpoint(
+[rank17]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank17]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank17]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank17]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 2)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank26]:     return _load_state_dict(
+[rank26]:            ^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank26]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank26]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank26]:     raise result
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 5)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank17]:     checkpoint.load_state_dict(
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank17]:     return arg(*args, **kwargs)
+[rank17]:            ^^^^^^^^^^^^^^^^^^^^
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank26]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank26]: Traceback (most recent call last): (RANK 0)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py" 87, in wrapper
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank17]:     return _load_state_dict(
+[rank17]:            ^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank17]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank17]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank17]:     raise result
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK          ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 1)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank17]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank17]: Traceback (most recent call last): (RANK 0)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     re[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 1)
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 9)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank23]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank23]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank23]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank23]:                                                                 ^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank23]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank23]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 10)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank23]:     return _load_global_dist_base_checkpoint(
+[rank23]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank23]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank23]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank23]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 2)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 2)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank23]:     checkpoint.load_state_dict(
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank23]:     return arg(*args, **kwargs)
+[rank23]:            ^^^^^^^^^^^^^^^^^^^^
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 3)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank15]:     raise CheckpointingException(_msg)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank23]:     return _load_state_dict(
+[rank23]:            ^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank23]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank23]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank23]:     raise result
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK          ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16sult = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank23]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank23]: Traceback (most recent call last): (RANK 0)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 1)
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 4)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 1)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 1)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 5)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 2)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 2)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 11)
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 2)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 12)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank14]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank14]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank14]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank14]:                                                                 ^^^^^^^^^^^^^^^^
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embeddsult = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank6]: Traceback (most recent call last): (RANKb/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank14]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank14]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank14]:     return _load_global_dist_base_checkpoint(
+[rank14]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank14]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 1)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 12)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank14]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank14]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank14]:     checkpoint.load_state_dict(
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank14]:     return arg(*args, **kwargs)
+[rank14]:            ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank14]:     return _load_state_dict(
+[rank14]:            ^^^^^^^^^^^^^^^^^
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 13)
+[rank25]: Traceback (most recent call last): (RANK 13)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dissult = func(*args, **kwargs)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank14]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank14]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank14]:     raise result
+[rank14]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank14]: Traceback (most recent call last): (RANK 0)
+[rank16]:     raise CheckpointingException(_msg)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 2)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]: Traceback (most recent call last): (RANK 1)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     re          ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 11)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatro 3)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 1)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 4)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 2)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 2)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 12)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embeddsult = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 5)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]:     raise CheckpointingException(_msg)
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 13)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]: Traceback (most recent call last): (RANK 1)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank11]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank11]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank11]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dissult = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank4]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank4]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank4]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank4]:                                                                 ^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:                                                                 ^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank11]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank11]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank11]:     return _load_global_dist_base_checkpoint(
+[rank11]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank11]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 1)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank4]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank4]:     return _load_global_dist_base_checkpoint(
+[rank4]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank4]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 2)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank11]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank11]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank11]:     checkpoint.load_state_dict(
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank11]:     return arg(*args, **kwargs)
+[rank11]:            ^^^^^^^^^^^^^^^^^^^^
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank4]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank4]:     checkpoint.load_state_dict(
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank4]:     return arg(*args, **kwargs)
+[rank4]:            ^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank4]:     return _load_state_dict(
+[rank4]:            ^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embeddt_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank11]:     return _load_state_dict(
+[rank11]:            ^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank11]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank11]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank11]:     raise result
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank4]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank4]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank4]:     raise result
+[rank4]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank4]: Traceback (most recent call last): (RANK 0)
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 14)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank11]: Traceback (most recent call last): (RANK 0)
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 2)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     re, line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 3)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:    [rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank1]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank1]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank1]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank1]:                                                                 ^^^^^^^^^^^^^^^^
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 6)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank1]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank1]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank1]:     return _load_global_dist_base_checkpoint(
+[rank1]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank1]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last): (RANK 15)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 7)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 4)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank1]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank1]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank1]:     checkpoint.load_state_dict(
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank1]:     return arg(*args, **kwargs)
+[rank1]:            ^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank1]:     return _load_state_dict(
+[rank1]:            ^^^^^^^^^^^^^^^^^
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 16)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/ing.position_embeddings.weight
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank1]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank1]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank1]:     raise result
+[rank1]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank1]: Traceback (most recent call last): (RANK 0)
+[rank24]: Traceback (most recent call last): (RANK 3)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 5)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 4)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]: Traceback (most recent call last): (RANK 8)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank24]:     result = func(*args, **kwargs)
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 9)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank18]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank18]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank18]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank18]:                                                                 ^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank18]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank18]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 1)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank18]:     return _load_global_dist_base_checkpoint(
+[rank18]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank18]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank18]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank18]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 2)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank24]: Traceback (most recent call last): (RANK 5)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"ing.position_embeddings.weight
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 10)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank18]:     checkpoint.load_state_dict(
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]: Traceback (most recent call last): (RANK 3)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank18]:     return arg(*args, **kwargs)
+[rank18]:            ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank18]:     return _load_state_dict(
+[rank18]:            ^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank18]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank18]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:     raise CheckpointingException(_msg)
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 4)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 11)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank18]:     raise result
+[rank18]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank18]: Traceback (most recent call last): (RANK 0)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 3)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank26]:     result = func(*args, **kwargs)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 4)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 12)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank19]: Traceback (most recent call last): (RANK 1)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]: Traceback (most recent call last): (RANK 5)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 13)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 5)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 2)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:     local_plan = planner.create_local_plan()
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 17)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dising.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 3)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_ 3)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank23]: Traceback (most recent call last): (RANK 3)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 4)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 18)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 4)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 4)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 5)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 5)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcsult = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank13]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 1)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank23]: Traceback (most recent call last): (RANK 5)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"ing.position_embeddings.weight
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_n/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 14)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank12]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank12]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank12]:                                                                 ^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank12]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank12]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank12]:     return _load_global_dist_base_checkpoint(
+[rank16]: Traceback (most recent call last): (RANK 3)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 2)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank12]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank12]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank12]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank12]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank12]:     checkpoint.load_state_dict(
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 4)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 15)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank12]:     return arg(*args, **kwargs)
+[rank12]:            ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank12]:     return _load_state_dict(
+[rank12]:            ^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank12]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank12]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 16)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd, line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 6)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank12]:     raise result
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]:                  ^^^^^^^^^
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank12]: Traceback (most recent call last): (RANK 0)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]: Traceback (most recent call last): (RANK 5)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointtensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 6)
+[rank26]:     raise CheckpointingException(_msg)
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 1)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 14)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 7)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 7)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 8)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 2)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", lineh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 19)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]: Traceback (most recent call last): (RANK 15)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 8)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd 3)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 16)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/sult = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/minicond          ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last): (RANK 20)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 1)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 4)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank17]: Traceback (most recent call last): (RANK 1)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 21)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 5)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 2)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 2)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/juning.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 3)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                  ^^^^^^^^^
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_sult = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd, line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 6)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANKtensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 4)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]: Traceback (most recent call last): (RANK 6)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank11]: Traceback (most recent call last): (RANK 1)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     raise CheckpointingException(_msg)
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 7)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 5)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 2)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 7)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py" 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 8)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 9)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedd384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", linesult = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]: Traceback (most recent call last): (RANK 8)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/minicond/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 10)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]: Traceback (most recent call last): (RANK 11)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 1)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 17)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 12)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     local_plan = planner.create_local_plan()
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 18)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 2)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]: Traceback (most recent call last): (RANK 22)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]: Traceback (most recent call last): (RANK 13)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dissult = func(*args, **kwargs)
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 3)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 19)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in  3)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 23)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 4)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 1)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     local_data = map_fun()
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 4)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank25]: Traceback (most recent call last): (RANK 24)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse, line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 6)
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 2)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 5)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     result = func(*args, **kwargs)
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 5)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:                  ^^^^^^^^^
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 6)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_a/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 7)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]: Traceback (most recent call last): (RANK 3)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 9)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 4)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]: Traceback (most recent call last): (RANK 8)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 11)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 7)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 10)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 5)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 8)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 12)
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"ing.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 3)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line, line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 6)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 11)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lireduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 4)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 13)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 20)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disrver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:     raise CheckpointingException(_msg)
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 7)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 21)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 25)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 5)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 8)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 6)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", linedistributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shtensors)
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 17)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 6)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 26)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 7)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 7)
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 8)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]: Traceback (most recent call last): (RANK 18)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 9)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line, line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 6)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcing.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 3)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 8)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 7)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]: Traceback (most recent call last): (RANK 4)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/minicondapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 22)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]: Traceback (most recent call last): (RANK 10)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 23)
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16, line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 8)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 5)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]: Traceback (most recent call last): (RANK 6)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", linetensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 6)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py" 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 7)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 9)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 24)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 7)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank7]:     local_plan = plannea/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 9)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 8)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 27)
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 8)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank20]: Traceback (most recent call last): (RANK 10)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 10)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/minicondt_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 14)
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16ing.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 3)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 28)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 11)
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 29)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 15)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]: Traceback (most recent call last): (RANK 4)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lia/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 11)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 5)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]: Traceback (most recent call last): (RANK 9)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 10)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 12)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank10]: Traceback (most recent call last): (RANK 16)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/, line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 6)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 13)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank11]: Traceback (most recent call last): (RANK 6)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 11)
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 7)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 7)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/li 3)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 9)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 4)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 8)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank11]: Traceback (most recent call last): (RANK 8)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", lineing.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 3)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 9)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 5)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 10)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]:                  ^^^^^^^^^
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_b/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((165]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]: Traceback (most recent call last): (RANK 4)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 12)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank25]: Traceback (most recent call last): (RANK 30)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 5)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 10)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 13)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank25]: Traceback (most recent call last): (RANK 31)
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank25]:     local_data = map_fun()
+[rank25]:                  ^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank25]:     result = func(*args, **kwargs)
+[rank25]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank25]:     local_plan = planner.create_local_plan()
+[rank25]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 14)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 9)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatrotensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 6)
+[rank25]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank25]:     raise CheckpointingException(_msg)
+[rank25]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 15)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 14)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 7)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 10)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 15)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 16)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/ 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 19)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 8)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 9)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/minicondr.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 16)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 11)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 25)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank13]:     raise CheckpointingException(_msg)
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 20)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 26)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 12)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 10)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 21)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:                  ^^^^^^^^^
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 13)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/jun384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 11)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 9)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 27)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^b/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank31]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank31]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank31]:                                                                 ^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank31]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank31]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank31]:     return _load_global_dist_base_checkpoint(
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 12)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 12)
+[rank31]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:     raise CheckpointingException(_msg)
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 13)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank31]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank31]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank31]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank31]:     checkpoint.load_state_dict(
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 10)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 11)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank31]:     return arg(*args, **kwargs)
+[rank31]:            ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank31]:     return _load_state_dict(
+[rank31]:            ^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank31]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank31]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16a/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 13)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank31]:     raise result
+[rank31]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank31]: Traceback (most recent call last): (RANK 0)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     ret_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 9)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatrob/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 14)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 12)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 10)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 13)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]: Traceback (most recent call last): (RANK 12)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 15)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 11)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lidistributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 22)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 13)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 16)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/sult = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]: Traceback (most recent call last): (RANK 17)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatrotensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 18)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]: Traceback (most recent call last): (RANK 23)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 6)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank31]: Traceback (most recent call last): (RANK 1)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 24)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnset_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 7)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 14)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 2)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]: Traceback (most recent call last): (RANK 9)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedddistributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 10)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 8)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/minicondn/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 14)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank23]: Traceback (most recent call last): (RANK 15)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]: Traceback (most recent call last): (RANK 17)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16, line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 6)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 16)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/, line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 15)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 6)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 18)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 16)
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcdistributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]: Traceback (most recent call last): (RANK 7)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointa/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 8)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank17]: Traceback (most recent call last): (RANK 7)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 9)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 17)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", linedistributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 8)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 17)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 11)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 10)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 18)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 11)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/li^^^^^^
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcing.position_embeddings.weight
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 18)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 12)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank31]: Traceback (most recent call last): (RANK 3)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 28)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 11)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 13)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 4)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 12)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disdistributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 29)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]:                  ^^^^^^^^^
+[rank23]:     raise CheckpointingException(_msg)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank31]: Traceback (most recent call last): (RANK 5)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 17)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank7]: megatron.core.distn/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 14)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py"h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 19)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 13)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 18)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 15)
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 11)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 20)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 12)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 16)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank14]:                  ^^^^^^^^^
+[rank19]:     raise CheckpointingException(_msg)
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointn/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 14)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 21)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junt_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 14)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 13)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 15)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disb/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 9)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 12)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 10)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 16)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]: Traceback (most recent call last): (RANK 15)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     result = func(*args, **kwargs)
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointa/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 16)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/, line 605, in create_local_plan
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 14)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 9)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 6)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]: Traceback (most recent call last): (RANK 13)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     result = func(*args, **kwargs)
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatroh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 19)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 10)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 15)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank24]: Traceback (most recent call last): (RANK 7)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]: Traceback (most recent call last): (RANK 20)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 16)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 11)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/li/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 8)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 17)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", lineh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 19)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 21)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 25)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/jun384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 11)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 18)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 20)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 26)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank11]: Traceback (most recent call last): (RANK 12)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 11)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 19)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in b/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 21)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 12)
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/jun, line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 6)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 13)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]: Traceback (most recent call last): (RANK 12)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 13)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 7)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 9)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disdistributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 13)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 8)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 10)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatro_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 30)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", lineda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 22)
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 17)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 19)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank7]: Traceback (most recent call last): (RANK 31)
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank7]:     local_data = map_fun()
+[rank7]:                  ^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank7]:     result = func(*args, **kwargs)
+[rank7]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank7]:     local_plan = planner.create_local_plan()
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 23)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 18)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank7]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank7]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank7]:     raise CheckpointingException(_msg)
+[rank7]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank15]: Traceback (most recent call last): (RANK 20)
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 27)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 17)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 24)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnsedistributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 21)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 17)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junt_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 28)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank3]: Traceback (most recent call last): (RANK 18)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank13]: Traceback (most recent call last): (RANK 14)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 29)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 19)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in /state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 18)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 15)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2, line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 17)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 6)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 16)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 7)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 9)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 14)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]: Traceback (most recent call last): (RANK 18)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 8)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", lineh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 19)
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 19)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in b/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 10)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 15)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 12)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 16)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/n/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 20)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 25)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank9]: Traceback (most recent call last): (RANK 14)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 13)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]: Traceback (most recent call last): (RANK 21)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatroreduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 26)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 15)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/jun2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingExceptionda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 16)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank22]: Traceback (most recent call last): (RANK 30)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 22)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 20)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 23)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 22)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]: Traceback (most recent call last): (RANK 31)
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank22]:     local_data = map_fun()
+[rank22]:                  ^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank22]:     result = func(*args, **kwargs)
+[rank22]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank22]:     local_plan = planner.create_local_plan()
+[rank22]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     local_plan = planner.create_local_plan()
+[rank22]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank22]:     raise CheckpointingException(_msg)
+[rank22]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 21)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 24)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 23)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 14)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 15)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shn/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 14)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 9)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 24)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnset_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 14)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 16)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 19)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]: Traceback (most recent call last): (RANK 15)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 10)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 15)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank23]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 19)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 16)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointreduce_scatter
+[rank3]:     local_data = map_fun()
+[rank26]:     local_data = map_fun()
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 16)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 11)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 20)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 21)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 20)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 20)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     raise CheckpointingException(_msg)
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junt_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     local_plan = planner.create_local_plan()
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 21)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 12)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 14)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 21)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/jun384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 11)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 13)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 15)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shreduce_scatter
+[rank24]:                  ^^^^^^^^^
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 22)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 16)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 20)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 12)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 13)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 23)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]: Traceback (most recent call last): (RANK 17)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 21)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 27)
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 18)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 24)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnsedistributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shn/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 14)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 28)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank13]: Traceback (most recent call last): (RANK 17)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 22)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]: Traceback (most recent call last): (RANK 15)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 29)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 18)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 23)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 16)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torcdistributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 24)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpointapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 22)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]: Traceback (most recent call last): (RANK 25)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnsedistributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 23)
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 26)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]: Traceback (most recent call last): (RANK 17)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]: Traceback (most recent call last): (RANK 17)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank31]: Traceback (most recent call last): (RANK 11)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 18)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 18)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 24)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank2]:     local_plan = planne/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 17)
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 12)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 17)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 19)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 20)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 13)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 18)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/disda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]: Traceback (most recent call last): (RANK 18)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 21)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 19)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in apes
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 22)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 19)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junrver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 22)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 25)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 23)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 23)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank10]: Traceback (most recent call last): (RANK 25)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 24)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]: Traceback (most recent call last): (RANK 26)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnset_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 26)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 24)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 14)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingExceptiondistributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingExceptionh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 19)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:     local_plan = planneapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 22)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 23)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 15)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank11]: Traceback (most recent call last): (RANK 17)
+[rank19]: Traceback (most recent call last): (RANK 20)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 16)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 21)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:                  ^^^^^^^^^
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 18)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 24)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 30)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:     local_plan = planne/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 17)
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torct_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 14)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank16]: Traceback (most recent call last): (RANK 22)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank28]: Traceback (most recent call last): (RANK 31)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank28]:     local_data = map_fun()
+[rank28]:                  ^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank28]:     result = func(*args, **kwargs)
+[rank28]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 23)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank28]:     local_plan = planner.create_local_plan()
+[rank28]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank28]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank28]:     raise CheckpointingException(_msg)
+[rank28]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 18)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 27)
+[rank12]: Traceback (most recent call last): (RANK 15)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 19)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 16)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]: Traceback (most recent call last): (RANK 24)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 27)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in r.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 25)
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 28)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 28)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 29)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank12]: Traceback (most recent call last): (RANK 17)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 29)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 26)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2t_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 18)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 27)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 14)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 19)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank19]: Traceback (most recent call last): (RANK 22)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 20)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank31]: Traceback (most recent call last): (RANK 15)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 23)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 16)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 20)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 24)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank6]: Traceback (most recent call last): (RANK 21)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 21)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 25)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shr.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 25)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 22)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]: Traceback (most recent call last): (RANK 25)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 26)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:                  ^^^^^^^^^
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 26)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 26)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingExceptiondistributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 23)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank23]: Traceback (most recent call last): (RANK 30)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 27)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^r.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]: Traceback (most recent call last): (RANK 17)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 24)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 25)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 18)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]: Traceback (most recent call last): (RANK 31)
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:     local_data = map_fun()
+[rank23]:                  ^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank23]:     result = func(*args, **kwargs)
+[rank23]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     local_plan = planner.create_local_plan()
+[rank23]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 25)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank23]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 26)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 30)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 26)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank23]:     raise CheckpointingException(_msg)
+[rank23]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 25)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 27)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank27]: Traceback (most recent call last): (RANK 31)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank27]:     local_data = map_fun()
+[rank27]:                  ^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank27]:     result = func(*args, **kwargs)
+[rank27]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingExceptionrver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 20)
+[rank27]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank27]:     local_plan = planner.create_local_plan()
+[rank27]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank27]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank27]:     raise CheckpointingException(_msg)
+[rank27]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 26)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 25)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 26)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 27)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 21)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank31]: Traceback (most recent call last): (RANK 17)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_sh^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 18)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingExceptionh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 19)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 28)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 28)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc[rank29]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 29)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank29]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank29]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank29]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank29]:                                                                 ^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank29]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 20)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:                  ^^^^^^^^^
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 29)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank29]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank29]:     return _load_global_dist_base_checkpoint(
+[rank29]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank29]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank29]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 805, in pretrain
+[rank0]:     model, optimizer, opt_param_scheduler = setup_model_and_optimizer(
+[rank0]:                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank29]:     checkpoint.load_state_dict(
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank29]:     return arg(*args, **kwargs)
+[rank29]:            ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank29]:     return _load_state_dict(
+[rank29]:            ^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 21)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 9)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1283, in setup_model_and_optimizer
+[rank0]:     args.iteration, args.num_floating_point_operations_so_far = load_checkpoint(
+[rank0]:                                                                 ^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 1374, in load_checkpoint
+[rank0]:     state_dict, checkpoint_name, release, ckpt_type = _load_base_checkpoint(
+[rank0]:                                                       ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 974, in _load_base_checkpoint
+[rank0]:     return _load_global_dist_base_checkpoint(
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank29]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank29]:     raise result
+[rank29]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank29]: Traceback (most recent call last): (RANK 0)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 19)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 870, in _load_global_dist_base_checkpoint
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 10)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]:     state_dict = dist_checkpointing.load(sharded_state_dict, checkpoint_name, load_strategy, strict=args.dist_ckpt_strictness)
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 148, in load
+[rank0]:     loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
+[rank0]:                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 915, in load
+[rank0]:     checkpoint.load_state_dict(
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+[rank0]:     return arg(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^
+[rank29]:     re: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 27)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 20)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 41, in load_state_dict
+[rank0]:     return _load_state_dict(
+[rank0]:            ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 234, in _load_state_dict
+[rank0]:     central_plan: LoadPlan = distW.reduce_scatter("plan", local_step, global_step)
+[rank0]:                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 219, in reduce_scatter
+[rank0]:     raise result
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 28)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]: torch.distributed.checkpoint.api.CheckpointException: CheckpointException ranks:dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
+[rank0]: Traceback (most recent call last): (RANK 0)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:    apes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 21)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 22)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]: Traceback (most recent call last): (RANK 22)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 29)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junreduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 23)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:     local_plan = planner.create_local_plan()
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 23)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 19)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 20)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 24)
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 20)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 24)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 27)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planne^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 21)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 28)
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 21)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_sh: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 27)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 28)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     local_plan = planner.create_local_plan()
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 29)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junh.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 19)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 29)
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist^^^^^^
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 20)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank10]: Traceback (most recent call last): (RANK 28)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 29)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 28)
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 21)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 19)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank17]: Traceback (most recent call last): (RANK 9)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     local_plan = planner.create_local_plan()
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 10)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 29)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junsult = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.distapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 1)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank11]: Traceback (most recent call last): (RANK 20)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 22)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 2)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 21)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((166]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 30)
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/jun: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 27)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 23)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     raise CheckpointingException(_msg)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 3)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 24)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 4)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank12]: Traceback (most recent call last): (RANK 28)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     local_plan = planne_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 30)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 29)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank16]: Traceback (most recent call last): (RANK 31)
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank16]:     local_data = map_fun()
+[rank16]:                  ^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 5)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 27)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank16]:     result = func(*args, **kwargs)
+[rank16]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank16]:     local_plan = planner.create_local_plan()
+[rank16]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank2]: Traceback (most recent call last): (RANK 31)
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank2]:     local_data = map_fun()
+[rank2]:                  ^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 6)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     result = func(*args, **kwargs)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank16]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank16]:     raise CheckpointingException(_msg)
+[rank16]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 11)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank2]:     result = func(*args, **kwargs)
+[rank2]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank2]:     local_plan = planner.create_local_plan()
+[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank2]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]:     raise CheckpointingException(_msg)
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank2]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+          ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 7)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]: Traceback (most recent call last): (RANK 28)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 12)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 1)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 29)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 13)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]: Traceback (most recent call last): (RANK 8)
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:     local_data = map_fun()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 2)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank13]: Traceback (most recent call last): (RANK 22)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dis9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 30)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 23)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]: Traceback (most recent call last): (RANK 30)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANKr.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank26]:     raise CheckpointingException(_msg)
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank26]: Traceback (most recent call last): (RANK 31)
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank26]:     local_data = map_fun()
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 25)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:                  ^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank26]:     result = func(*args, **kwargs)
+[rank26]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank26]:     local_plan = planner.create_local_plan()
+[rank26]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank26]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 24)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnseda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank19]: Traceback (most recent call last): (RANK 31)
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank19]:     local_data = map_fun()
+[rank19]:                  ^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank19]:     result = func(*args, **kwargs)
+[rank19]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank19]:     local_plan = planner.create_local_plan()
+[rank19]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank26]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank19]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 26)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank26]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 22)
+[rank14]: Traceback (most recent call last): (RANK 22)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank19]:     raise CheckpointingException(_msg)
+[rank19]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 11)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 27)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 23)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 30)
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 23)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank17]: Traceback (most recent call last): (RANK 12)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank3]: Traceback (most recent call last): (RANK 31)
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 24)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnseapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 22)
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 13)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank3]:     local_data = map_fun()
+[rank3]:                  ^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank3]:     result = func(*args, **kwargs)
+[rank3]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank3]:     local_plan = planner.create_local_plan()
+[rank3]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 24)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank17]:     result = func(*args, **kwargs)
+[rank3]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank3]:     raise CheckpointingException(_msg)
+[rank3]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 30)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnseda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 22)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 23)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank18]: Traceback (most recent call last): (RANK 14)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank4]: Traceback (most recent call last): (RANK 31)
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank4]:     local_data = map_fun()
+[rank4]:                  ^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:     result = func(*args, **kwargs)
+[rank4]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank4]:     local_plan = planner.create_local_plan()
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 23)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 24)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 15)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank4]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planne0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank4]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank4]:     raise CheckpointingException(_msg)
+[rank4]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+r.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 24)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 30)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 16)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 25)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]: Traceback (most recent call last): (RANK 31)
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank10]:     local_data = map_fun()
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 25)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 26)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 9)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:                  ^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank10]:     result = func(*args, **kwargs)
+[rank10]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank10]:     local_plan = planner.create_local_plan()
+[rank10]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank10]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank10]:     raise CheckpointingException(_msg)
+[rank10]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+da/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 22)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 26)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]: Traceback (most recent call last): (RANK 10)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 27)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 23)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingExceptiont_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 28)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 11)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 14)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 24)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 15)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 29)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]: Traceback (most recent call last): (RANK 12)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 13)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]: Traceback (most recent call last): (RANK 30)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 16)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 30)
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]: Traceback (most recent call last): (RANK 31)
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank12]:     local_data = map_fun()
+[rank12]:                  ^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 17)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank12]:     result = func(*args, **kwargs)
+[rank12]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank12]:     local_plan = planner.create_local_plan()
+[rank12]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank12]:     raise CheckpointingException(_msg)
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: Traceback (most recent call last): (RANK 31)
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank1]:     local_data = map_fun()
+[rank1]:                  ^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]: Traceback (most recent call last): (RANK 14)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank12]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 30)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 18)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:     result = func(*args, **kwargs)
+[rank1]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank1]:     local_plan = planner.create_local_plan()
+[rank1]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank1]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank1]:     raise CheckpointingException(_msg)
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 15)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torc: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank1]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+ 3)
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank20]: Traceback (most recent call last): (RANK 27)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank15]: Traceback (most recent call last): (RANK 31)
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank15]:     local_data = map_fun()
+[rank15]:                  ^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank15]:     result = func(*args, **kwargs)
+[rank15]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank15]:     local_plan = planner.create_local_plan()
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 28)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 4)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]: Traceback (most recent call last): (RANK 16)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank15]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank15]:     raise CheckpointingException(_msg)
+[rank15]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 25)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 5)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank13]: Traceback (most recent call last): (RANK 25)
+[rank20]: Traceback (most recent call last): (RANK 29)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 26)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 26)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]: Traceback (most recent call last): (RANK 17)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 28)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 27)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 18)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 29)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 27)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank17]:     result = func(*args, **kwargs)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 28)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 29)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 28)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]: Traceback (most recent call last): (RANK 19)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.disttensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 6)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank31]:                  ^^^^^^^^^
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 20)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 29)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 7)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 17)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 30)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 21)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 8)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/jun0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 30)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:                  ^^^^^^^^^
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 18)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/minicond_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank6]: Traceback (most recent call last): (RANK 30)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank13]: Traceback (most recent call last): (RANK 31)
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank13]:     local_data = map_fun()
+[rank13]:                  ^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank13]:     result = func(*args, **kwargs)
+[rank13]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank13]:     local_plan = planner.create_local_plan()
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]: Traceback (most recent call last): (RANK 31)
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank20]:     local_data = map_fun()
+[rank20]:                  ^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank20]:     result = func(*args, **kwargs)
+[rank20]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 19)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank13]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank13]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank13]:     raise CheckpointingException(_msg)
+[rank13]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]: Traceback (most recent call last): (RANK 31)
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank6]:     local_data = map_fun()
+[rank6]:                  ^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank6]:     result = func(*args, **kwargs)
+[rank6]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank6]:     local_plan = planner.create_local_plan()
+[rank6]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank20]:     local_plan = planner.create_local_plan()
+[rank20]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank20]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank20]:     raise CheckpointingException(_msg)
+[rank20]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+h.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 19)
+[rank6]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank6]:     raise CheckpointingException(_msg)
+[rank6]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+a/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 20)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank14]: Traceback (most recent call last): (RANK 25)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 9)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 21)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 20)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 10)
+[rank29]:                  ^^^^^^^^^
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 26)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junrver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 27)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 21)
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 11)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 25)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 28)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 22)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 12)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 26)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 29)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 23)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 13)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingExceptionda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank14]: Traceback (most recent call last): (RANK 30)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 22)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 24)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnseda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 14)
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 23)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]: Traceback (most recent call last): (RANK 31)
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank14]:     local_data = map_fun()
+[rank14]:                  ^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank14]:     result = func(*args, **kwargs)
+[rank14]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank14]:     local_plan = planner.create_local_plan()
+[rank14]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 22)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank14]:     raise CheckpointingException(_msg)
+[rank14]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+r.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 15)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 25)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 23)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 24)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnse1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 16)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank31]: Traceback (most recent call last): (RANK 30)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 26)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 24)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 17)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]: Traceback (most recent call last): (RANK 31)
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank31]:     local_data = map_fun()
+[rank31]:                  ^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank31]:     result = func(*args, **kwargs)
+[rank31]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank31]:     local_plan = planner.create_local_plan()
+[rank31]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 27)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 25)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank31]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 28)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 26)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 18)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank31]:     raise CheckpointingException(_msg)
+[rank31]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 27)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 19)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingExceptionrver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 28)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 29)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 29)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 30)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 25)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank0]: Traceback (most recent call last): (RANK 20)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:                  ^^^^^^^^^
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 26)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 21)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank9]:     raise CheckpointingException(_msg)
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 25)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank9]: Traceback (most recent call last): (RANK 31)
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank9]:     local_data = map_fun()
+[rank9]:                  ^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank9]:     result = func(*args, **kwargs)
+[rank9]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank9]:     local_plan = planner.create_local_plan()
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank9]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank9]:     raise CheckpointingException(_msg)
+[rank9]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+rver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 27)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]: Traceback (most recent call last): (RANK 22)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 26)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 28)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 23)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     local_plan = planner.create_local_plan()
+[rank11]: Traceback (most recent call last): (RANK 25)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 24)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 30)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 26)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 29)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank24]: Traceback (most recent call last): (RANK 31)
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 27)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 25)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     local_data = map_fun()
+[rank24]:                  ^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank24]:     result = func(*args, **kwargs)
+[rank24]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank24]:     local_plan = planner.create_local_plan()
+[rank24]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank24]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]: Traceback (most recent call last): (RANK 27)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 28)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 28)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 26)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank24]:     raise CheckpointingException(_msg)
+[rank24]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 27)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 27)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 29)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank29]: Traceback (most recent call last): (RANK 28)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]: Traceback (most recent call last): (RANK 29)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 30)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 29)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: Traceback (most recent call last): (RANK 30)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]: Traceback (most recent call last): (RANK 28)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]: Traceback (most recent call last): (RANK 31)
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank18]:     local_data = map_fun()
+[rank18]:                  ^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank18]:     result = func(*args, **kwargs)
+[rank18]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 29)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank18]:     local_plan = planner.create_local_plan()
+[rank18]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank18]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank18]:     raise CheckpointingException(_msg)
+[rank18]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank29]: Traceback (most recent call last): (RANK 30)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank11]: Traceback (most recent call last): (RANK 31)
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank11]:     local_data = map_fun()
+[rank11]:                  ^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     result = func(*args, **kwargs)
+[rank11]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank11]:     local_plan = planner.create_local_plan()
+[rank11]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 30)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank29]: Traceback (most recent call last): (RANK 31)
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank29]:     local_data = map_fun()
+[rank29]:                  ^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank11]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank11]:     raise CheckpointingException(_msg)
+[rank11]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank0]: Traceback (most recent call last): (RANK 30)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     result = func(*args, **kwargs)
+[rank29]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank29]:     local_plan = planner.create_local_plan()
+[rank29]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank29]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank29]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank17]: Traceback (most recent call last): (RANK 31)
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank17]:     local_data = map_fun()
+[rank17]:                  ^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank17]:     result = func(*args, **kwargs)
+[rank17]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank17]:     local_plan = planner.create_local_plan()
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+[rank0]: Traceback (most recent call last): (RANK 31)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/utils.py", line 192, in reduce_scatter
+[rank0]:     local_data = map_fun()
+[rank0]:                  ^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/logger.py", line 87, in wrapper
+[rank29]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank17]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     result = func(*args, **kwargs)
+[rank0]:              ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py", line 223, in local_step
+[rank0]:     local_plan = planner.create_local_plan()
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 605, in create_local_plan
+[rank0]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank0]:     raise CheckpointingException(_msg)
+[rank17]:     self._validate_global_shapes(self.metadata, self.shapes_validation_sharded_tensors)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 576, in _validate_global_shapes
+[rank17]:     raise CheckpointingException(_msg)
+[rank17]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded (torch.Size([24576, 4096])) and expected ((16384, 4096)) tensor for key embedding.position_embeddings.weight
+
+[rank10]:[W621 22:16:25.175344558 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:16:25.304847436 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:16:26.313859346 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:16:26.197730619 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 22:16:26.208354937 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:16:26.980408601 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank0]:[W621 22:16:26.421796191 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:16:26.317133834 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:16:26.450135545 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:16:26.468291630 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:16:26.965094789 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:16:26.486153434 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:16:26.099304652 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank16]:[W621 22:16:26.111175503 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 22:16:26.519131183 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 22:16:26.400197673 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:16:26.015750778 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank20]:[W621 22:16:26.121321401 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:16:26.017593076 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:16:26.121631288 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank24]:[W621 22:16:26.018138857 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank28]:[W621 22:16:26.018200054 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:16:26.537000051 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:16:26.027714726 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:16:26.427927022 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:16:26.428562140 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:16:26.430553653 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:16:26.045645606 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:16:26.149975870 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:16:26.056116787 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:16:26.170151899 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:16:26.210503426 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:16:26.945000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067688 closing signal SIGTERM
+W0621 22:16:26.947000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067689 closing signal SIGTERM
+W0621 22:16:26.947000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067690 closing signal SIGTERM
+W0621 22:16:26.948000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067691 closing signal SIGTERM
+W0621 22:16:26.948000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067692 closing signal SIGTERM
+W0621 22:16:26.949000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067693 closing signal SIGTERM
+W0621 22:16:26.949000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2067694 closing signal SIGTERM
+W0621 22:16:26.987000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802803 closing signal SIGTERM
+W0621 22:16:26.988000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802804 closing signal SIGTERM
+W0621 22:16:26.989000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802805 closing signal SIGTERM
+W0621 22:16:26.989000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802806 closing signal SIGTERM
+W0621 22:16:26.990000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802807 closing signal SIGTERM
+W0621 22:16:26.990000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802808 closing signal SIGTERM
+W0621 22:16:26.990000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 802809 closing signal SIGTERM
+W0621 22:16:27.048000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786897 closing signal SIGTERM
+W0621 22:16:27.049000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786898 closing signal SIGTERM
+W0621 22:16:27.049000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786899 closing signal SIGTERM
+W0621 22:16:27.050000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786900 closing signal SIGTERM
+W0621 22:16:27.050000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786901 closing signal SIGTERM
+W0621 22:16:27.050000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786902 closing signal SIGTERM
+W0621 22:16:27.050000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1786903 closing signal SIGTERM
+W0621 22:16:27.125000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904004 closing signal SIGTERM
+W0621 22:16:27.126000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904005 closing signal SIGTERM
+W0621 22:16:27.126000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904006 closing signal SIGTERM
+W0621 22:16:27.127000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904007 closing signal SIGTERM
+W0621 22:16:27.127000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904008 closing signal SIGTERM
+W0621 22:16:27.127000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904009 closing signal SIGTERM
+W0621 22:16:27.128000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1904010 closing signal SIGTERM
+E0621 22:16:27.660000 2067616 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 7 (pid: 2067695) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:16:26
+  host      : fs-mbz-gpu-702
+  rank      : 15 (local_rank: 7)
+  exitcode  : 1 (pid: 2067695)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:16:27.719000 802731 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 7 (pid: 802810) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+E0621 22:16:27.729000 1786825 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 1786896) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:16:26
+  host      : fs-mbz-gpu-600
+  rank      : 7 (local_rank: 7)
+  exitcode  : 1 (pid: 802810)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:16:27
+  host      : fs-mbz-gpu-717
+  rank      : 16 (local_rank: 0)
+  exitcode  : 1 (pid: 1786896)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:16:27.883000 1903933 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 1904003) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:16:27.891000 1903933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1903933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:16:27.685619026 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-816]:37310, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14b44f3785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14b43865aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14b43865c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14b43865db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x14b438657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x14b438657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x14b438658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x14b44798b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x14b4470fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x14b450627d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x14b450627e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:16:27.903000 1903933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1903933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:16:27.696622519 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-816]:37310, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14b44f3785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14b43865aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14b43865c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14b43865db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x14b438657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x14b438657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x14b438658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x14b44798b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x14b4470fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x14b450627d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x14b450627e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:16:27.913000 1903933 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1903933_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:16:27
+  host      : fs-mbz-gpu-816
+  rank      : 24 (local_rank: 0)
+  exitcode  : 1 (pid: 1904003)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=24576
++ PROF_CTX_LENGTH=24576
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L24576*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L24576*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=24576, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
+rm: cannot remove 'gpt-checkpoint/iter_0000010': Directory not empty
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 24576 --max-position-embeddings 24576 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 24576 --max-position-embeddings 24576 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 24576 --max-position-embeddings 24576 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 24576 --max-position-embeddings 24576 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:16:30.702000 1788654 site-packages/torch/distributed/run.py:766] 
+W0621 22:16:30.702000 1788654 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:16:30.702000 1788654 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:16:30.702000 1788654 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:16:30.736000 804610 site-packages/torch/distributed/run.py:766] 
+W0621 22:16:30.736000 804610 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:16:30.736000 804610 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:16:30.736000 804610 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:16:30.738000 1905775 site-packages/torch/distributed/run.py:766] 
+W0621 22:16:30.738000 1905775 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:16:30.738000 1905775 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:16:30.738000 1905775 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:16:30.744000 2069442 site-packages/torch/distributed/run.py:766] 
+W0621 22:16:30.744000 2069442 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:16:30.744000 2069442 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:16:30.744000 2069442 site-packages/torch/distributed/run.py:766] *****************************************
+[rank21]:[W621 22:16:53.534167838 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:16:53.534183335 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:16:53.430258874 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:16:53.430475536 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:16:53.824563044 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:16:53.824604567 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:16:53.542315476 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:16:53.438782987 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:16:53.548599476 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:16:53.549201839 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:16:53.840288919 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:16:53.840359771 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:16:53.840672896 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:16:53.840950459 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:16:53.840980829 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:16:53.450886002 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:16:53.450994291 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:16:53.451066953 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:16:53.451125620 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:16:53.559522852 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:16:53.559725098 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:16:53.970155635 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:16:53.970243752 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:16:53.970269067 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:16:53.970291327 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:16:53.970297125 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:16:53.970377380 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:16:53.970425320 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:16:53.634450486 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:16:53.926113895 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:16:53.537731527 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:16:53.208543633 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank0]:     iteration, num_floating_point_operations_so_far = train(
+[rank0]:                                                       ^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank0]:     ) = train_step(
+[rank0]:         ^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank0]:     losses_reduced = forward_backward_func(
+[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank0]:     output_tensor, num_tokens = forward_step(
+[rank0]:                                 ^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank0]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank0]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank0]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank0]:     batch = next(global_batches)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank0]:     attention_mask = torch.ones(
+[rank0]:                      ^^^^^^^^^^^
+[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank5]:     iteration, num_floating_point_operations_so_far = train(
+[rank5]:                                                       ^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank5]:     ) = train_step(
+[rank5]:         ^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank5]:     losses_reduced = forward_backward_func(
+[rank5]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank5]:     output_tensor, num_tokens = forward_step(
+[rank5]:                                 ^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank5]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank5]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank5]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank5]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank5]:     batch = next(global_batches)
+[rank5]:             ^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank5]:     attention_mask = torch.ones(
+[rank5]:                      ^^^^^^^^^^^
+[rank5]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank4]:     iteration, num_floating_point_operations_so_far = train(
+[rank4]:                                                       ^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank4]:     ) = train_step(
+[rank4]:         ^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank4]:     losses_reduced = forward_backward_func(
+[rank4]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank4]:     output_tensor, num_tokens = forward_step(
+[rank4]:                                 ^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank4]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank4]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank4]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank4]:     batch = next(global_batches)
+[rank4]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank23]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:                                                       ^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank23]:     ) = train_step(
+[rank23]:         ^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank23]:     losses_reduced = forward_backward_func(
+[rank23]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank4]:     attention_mask = torch.ones(
+[rank4]:                      ^^^^^^^^^^^
+[rank4]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:     output_tensor, num_tokens = forward_step(
+[rank23]:                                 ^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank23]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank23]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank23]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank23]:     batch = next(global_batches)
+[rank23]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank23]:     attention_mask = torch.ones(
+[rank23]:                      ^^^^^^^^^^^
+[rank23]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank29]: Traceback (most recent call last):
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank29]:     iteration, num_floating_point_operations_so_far = train(
+[rank29]:                                                       ^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank29]:     ) = train_step(
+[rank29]:         ^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank29]:     losses_reduced = forward_backward_func(
+[rank29]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:     output_tensor, num_tokens = forward_step(
+[rank29]:                                 ^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank29]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank29]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank29]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank29]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]: Traceback (most recent call last):
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank9]:     iteration, num_floating_point_operations_so_far = train(
+[rank9]:                                                       ^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank9]:     ) = train_step(
+[rank9]:         ^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank9]:     losses_reduced = forward_backward_func(
+[rank9]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank29]:     batch = next(global_batches)
+[rank29]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank29]:     attention_mask = torch.ones(
+[rank29]:                      ^^^^^^^^^^^
+[rank29]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]:     output_tensor, num_tokens = forward_step(
+[rank9]:                                 ^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank9]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank9]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank9]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank9]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank9]:     batch = next(global_batches)
+[rank9]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank24]:     iteration, num_floating_point_operations_so_far = train(
+[rank24]:                                                       ^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank24]:     ) = train_step(
+[rank24]:         ^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank24]:     losses_reduced = forward_backward_func(
+[rank24]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank9]:     attention_mask = torch.ones(
+[rank9]:                      ^^^^^^^^^^^
+[rank9]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, num_tokens = forward_step(
+[rank24]:                                 ^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank24]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank24]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank24]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank24]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank2]:     iteration, num_floating_point_operations_so_far = train(
+[rank2]:                                                       ^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank2]:     ) = train_step(
+[rank2]:         ^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank2]:     losses_reduced = forward_backward_func(
+[rank2]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank24]:     batch = next(global_batches)
+[rank24]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank24]:     attention_mask = torch.ones(
+[rank24]:                      ^^^^^^^^^^^
+[rank24]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]:     output_tensor, num_tokens = forward_step(
+[rank2]:                                 ^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank2]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank2]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank2]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank2]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank2]:     batch = next(global_batches)
+[rank2]:             ^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank2]:     attention_mask = torch.ones(
+[rank2]:                      ^^^^^^^^^^^
+[rank2]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank10]:     iteration, num_floating_point_operations_so_far = train(
+[rank10]:                                                       ^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank10]:     ) = train_step(
+[rank10]:         ^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank10]:     losses_reduced = forward_backward_func(
+[rank10]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank10]:     output_tensor, num_tokens = forward_step(
+[rank10]:                                 ^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank10]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank10]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank10]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank10]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank25]:     iteration, num_floating_point_operations_so_far = train(
+[rank25]:                                                       ^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank25]:     ) = train_step(
+[rank25]:         ^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank25]:     losses_reduced = forward_backward_func(
+[rank25]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank16]:     iteration, num_floating_point_operations_so_far = train(
+[rank16]:                                                       ^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank16]:     ) = train_step(
+[rank16]:         ^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank16]:     losses_reduced = forward_backward_func(
+[rank16]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank10]:     batch = next(global_batches)
+[rank10]:             ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank10]:     attention_mask = torch.ones(
+[rank10]:                      ^^^^^^^^^^^
+[rank10]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:     output_tensor, num_tokens = forward_step(
+[rank25]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank25]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank25]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank25]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank25]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:     output_tensor, num_tokens = forward_step(
+[rank16]:                                 ^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank16]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank16]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank16]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank16]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank12]:     iteration, num_floating_point_operations_so_far = train(
+[rank12]:                                                       ^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank12]:     ) = train_step(
+[rank12]:         ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank12]:     losses_reduced = forward_backward_func(
+[rank12]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank25]:     batch = next(global_batches)
+[rank25]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank25]:     attention_mask = torch.ones(
+[rank25]:                      ^^^^^^^^^^^
+[rank25]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank16]:     batch = next(global_batches)
+[rank16]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank16]:     attention_mask = torch.ones(
+[rank16]:                      ^^^^^^^^^^^
+[rank16]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank12]:     output_tensor, num_tokens = forward_step(
+[rank12]:                                 ^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank12]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank12]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank12]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank26]:     iteration, num_floating_point_operations_so_far = train(
+[rank26]:                                                       ^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank26]:     ) = train_step(
+[rank26]:         ^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank26]:     losses_reduced = forward_backward_func(
+[rank26]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank12]:     batch = next(global_batches)
+[rank12]:             ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank12]:     attention_mask = torch.ones(
+[rank12]:                      ^^^^^^^^^^^
+[rank12]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:     output_tensor, num_tokens = forward_step(
+[rank26]:                                 ^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank26]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank26]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank26]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank26]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank3]:     iteration, num_floating_point_operations_so_far = train(
+[rank3]:                                                       ^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank3]:     ) = train_step(
+[rank3]:         ^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank3]:     losses_reduced = forward_backward_func(
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank26]:     batch = next(global_batches)
+[rank26]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank26]:     attention_mask = torch.ones(
+[rank26]:                      ^^^^^^^^^^^
+[rank26]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank3]:     output_tensor, num_tokens = forward_step(
+[rank3]:                                 ^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank3]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank3]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank3]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank3]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank3]:     batch = next(global_batches)
+[rank3]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank31]:     iteration, num_floating_point_operations_so_far = train(
+[rank31]:                                                       ^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank31]:     ) = train_step(
+[rank31]:         ^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank31]:     losses_reduced = forward_backward_func(
+[rank31]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank21]:     iteration, num_floating_point_operations_so_far = train(
+[rank21]:                                                       ^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank21]:     ) = train_step(
+[rank21]:         ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank21]:     losses_reduced = forward_backward_func(
+[rank21]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank3]:     attention_mask = torch.ones(
+[rank3]:                      ^^^^^^^^^^^
+[rank3]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:     output_tensor, num_tokens = forward_step(
+[rank31]:                                 ^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank31]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank31]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank31]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank31]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:     output_tensor, num_tokens = forward_step(
+[rank21]:                                 ^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank21]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank21]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank21]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank6]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:                                                       ^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank6]:     ) = train_step(
+[rank6]:         ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank6]:     losses_reduced = forward_backward_func(
+[rank6]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank31]:     batch = next(global_batches)
+[rank31]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank31]:     attention_mask = torch.ones(
+[rank31]:                      ^^^^^^^^^^^
+[rank31]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank21]:     batch = next(global_batches)
+[rank21]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank21]:     attention_mask = torch.ones(
+[rank21]:                      ^^^^^^^^^^^
+[rank21]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]:     output_tensor, num_tokens = forward_step(
+[rank6]:                                 ^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank6]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank6]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank6]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank6]:     batch = next(global_batches)
+[rank6]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank30]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]:                                                       ^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank30]:     ) = train_step(
+[rank30]:         ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank30]:     losses_reduced = forward_backward_func(
+[rank30]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank18]:     iteration, num_floating_point_operations_so_far = train(
+[rank18]:                                                       ^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank18]:     ) = train_step(
+[rank18]:         ^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank18]:     losses_reduced = forward_backward_func(
+[rank18]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank6]:     attention_mask = torch.ones(
+[rank6]:                      ^^^^^^^^^^^
+[rank6]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank30]:     output_tensor, num_tokens = forward_step(
+[rank30]:                                 ^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank30]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank30]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:     output_tensor, num_tokens = forward_step(
+[rank18]:                                 ^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank18]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank18]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank18]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank18]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank1]:     iteration, num_floating_point_operations_so_far = train(
+[rank1]:                                                       ^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank1]:     ) = train_step(
+[rank1]:         ^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank1]:     losses_reduced = forward_backward_func(
+[rank1]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank14]:     iteration, num_floating_point_operations_so_far = train(
+[rank14]:                                                       ^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank14]:     ) = train_step(
+[rank14]:         ^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank14]:     losses_reduced = forward_backward_func(
+[rank14]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank30]:     batch = next(global_batches)
+[rank30]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank30]:     attention_mask = torch.ones(
+[rank30]:                      ^^^^^^^^^^^
+[rank30]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank18]:     batch = next(global_batches)
+[rank18]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank18]:     attention_mask = torch.ones(
+[rank18]:                      ^^^^^^^^^^^
+[rank18]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]:     output_tensor, num_tokens = forward_step(
+[rank1]:                                 ^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank1]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank1]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank1]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank1]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank1]:     batch = next(global_batches)
+[rank1]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]:     output_tensor, num_tokens = forward_step(
+[rank14]:                                 ^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank14]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank14]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank14]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank14]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank27]:     iteration, num_floating_point_operations_so_far = train(
+[rank27]:                                                       ^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank27]:     ) = train_step(
+[rank27]:         ^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank27]:     losses_reduced = forward_backward_func(
+[rank27]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank1]:     attention_mask = torch.ones(
+[rank1]:                      ^^^^^^^^^^^
+[rank1]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank14]:     batch = next(global_batches)
+[rank14]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank14]:     attention_mask = torch.ones(
+[rank14]:                      ^^^^^^^^^^^
+[rank14]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:     output_tensor, num_tokens = forward_step(
+[rank27]:                                 ^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank27]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank27]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank27]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank27]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank7]:     iteration, num_floating_point_operations_so_far = train(
+[rank7]:                                                       ^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank7]:     ) = train_step(
+[rank7]:         ^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank7]:     losses_reduced = forward_backward_func(
+[rank7]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank27]:     batch = next(global_batches)
+[rank27]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank27]:     attention_mask = torch.ones(
+[rank27]:                      ^^^^^^^^^^^
+[rank27]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.41 GiB is free. Including non-PyTorch memory, this process has 3.40 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:     output_tensor, num_tokens = forward_step(
+[rank7]:                                 ^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank7]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank7]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank7]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank7]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank7]:     batch = next(global_batches)
+[rank7]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank28]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]:                                                       ^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank28]:     ) = train_step(
+[rank28]:         ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:     losses_reduced = forward_backward_func(
+[rank28]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank7]:     attention_mask = torch.ones(
+[rank7]:                      ^^^^^^^^^^^
+[rank7]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]:     output_tensor, num_tokens = forward_step(
+[rank28]:                                 ^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank28]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank28]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank28]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank28]:     batch = next(global_batches)
+[rank28]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank28]:     attention_mask = torch.ones(
+[rank28]:                      ^^^^^^^^^^^
+[rank28]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.41 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank22]:     iteration, num_floating_point_operations_so_far = train(
+[rank22]:                                                       ^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank22]:     ) = train_step(
+[rank22]:         ^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank22]:     losses_reduced = forward_backward_func(
+[rank22]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]:     output_tensor, num_tokens = forward_step(
+[rank22]:                                 ^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank22]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank22]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank22]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank22]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank11]:     iteration, num_floating_point_operations_so_far = train(
+[rank11]:                                                       ^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank11]:     ) = train_step(
+[rank11]:         ^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank11]:     losses_reduced = forward_backward_func(
+[rank11]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank22]:     batch = next(global_batches)
+[rank22]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank22]:     attention_mask = torch.ones(
+[rank22]:                      ^^^^^^^^^^^
+[rank22]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:     output_tensor, num_tokens = forward_step(
+[rank11]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank11]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank11]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank11]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank11]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank17]:     iteration, num_floating_point_operations_so_far = train(
+[rank17]:                                                       ^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank17]:     ) = train_step(
+[rank17]:         ^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank17]:     losses_reduced = forward_backward_func(
+[rank17]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank11]:     batch = next(global_batches)
+[rank11]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank11]:     attention_mask = torch.ones(
+[rank11]:                      ^^^^^^^^^^^
+[rank11]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:     output_tensor, num_tokens = forward_step(
+[rank17]:                                 ^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank17]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank17]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank17]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank17]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank8]:     iteration, num_floating_point_operations_so_far = train(
+[rank8]:                                                       ^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank8]:     ) = train_step(
+[rank8]:         ^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank8]:     losses_reduced = forward_backward_func(
+[rank8]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank17]:     batch = next(global_batches)
+[rank17]:             ^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank17]:     attention_mask = torch.ones(
+[rank17]:                      ^^^^^^^^^^^
+[rank17]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank8]:     output_tensor, num_tokens = forward_step(
+[rank8]:                                 ^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank8]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank8]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank8]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank8]:     batch = next(global_batches)
+[rank8]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank20]:     iteration, num_floating_point_operations_so_far = train(
+[rank20]:                                                       ^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank20]:     ) = train_step(
+[rank20]:         ^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank20]:     losses_reduced = forward_backward_func(
+[rank20]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank8]:     attention_mask = torch.ones(
+[rank8]:                      ^^^^^^^^^^^
+[rank8]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:     output_tensor, num_tokens = forward_step(
+[rank20]:                                 ^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank20]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank20]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank20]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank20]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank13]:     iteration, num_floating_point_operations_so_far = train(
+[rank13]:                                                       ^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank13]:     ) = train_step(
+[rank13]:         ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank13]:     losses_reduced = forward_backward_func(
+[rank13]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank20]:     batch = next(global_batches)
+[rank20]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank20]:     attention_mask = torch.ones(
+[rank20]:                      ^^^^^^^^^^^
+[rank20]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank13]:     output_tensor, num_tokens = forward_step(
+[rank13]:                                 ^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank13]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank13]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank13]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank19]:     iteration, num_floating_point_operations_so_far = train(
+[rank19]:                                                       ^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank19]:     ) = train_step(
+[rank19]:         ^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank19]:     losses_reduced = forward_backward_func(
+[rank19]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank13]:     batch = next(global_batches)
+[rank13]:             ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank13]:     attention_mask = torch.ones(
+[rank13]:                      ^^^^^^^^^^^
+[rank13]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:     output_tensor, num_tokens = forward_step(
+[rank19]:                                 ^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank19]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank19]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank19]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank19]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank15]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:                                                       ^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank15]:     ) = train_step(
+[rank15]:         ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank15]:     losses_reduced = forward_backward_func(
+[rank15]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank19]:     batch = next(global_batches)
+[rank19]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank19]:     attention_mask = torch.ones(
+[rank19]:                      ^^^^^^^^^^^
+[rank19]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.37 GiB is free. Including non-PyTorch memory, this process has 3.43 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank15]:     output_tensor, num_tokens = forward_step(
+[rank15]:                                 ^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank15]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank15]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank15]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank15]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank15]:     batch = next(global_batches)
+[rank15]:             ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank15]:     attention_mask = torch.ones(
+[rank15]:                      ^^^^^^^^^^^
+[rank15]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 288.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.39 GiB is free. Including non-PyTorch memory, this process has 3.42 GiB memory in use. Of the allocated memory 1.82 GiB is allocated by PyTorch, and 77.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank11]:[W621 22:17:04.644127760 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:17:04.790022717 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:17:04.694508590 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:17:04.840120223 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:17:04.735397391 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:17:04.456626371 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:17:04.765527076 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:17:04.894359813 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:17:04.894396936 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:17:04.899974692 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:17:04.497353267 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:17:04.793372151 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:17:04.507350464 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:17:04.403392234 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:17:04.517012272 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:17:04.413374073 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:17:04.413377788 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:17:04.431244087 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:17:04.438936584 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:17:04.841377511 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:17:04.553092030 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:17:04.557850566 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:17:04.454361737 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:17:04.038173758 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:17:05.655000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069512 closing signal SIGTERM
+W0621 22:17:05.657000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069514 closing signal SIGTERM
+W0621 22:17:05.658000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069515 closing signal SIGTERM
+W0621 22:17:05.658000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069516 closing signal SIGTERM
+W0621 22:17:05.661000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069517 closing signal SIGTERM
+W0621 22:17:05.662000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069518 closing signal SIGTERM
+W0621 22:17:05.662000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2069519 closing signal SIGTERM
+W0621 22:17:05.985000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804682 closing signal SIGTERM
+W0621 22:17:05.988000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804683 closing signal SIGTERM
+W0621 22:17:05.989000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804684 closing signal SIGTERM
+W0621 22:17:05.989000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804685 closing signal SIGTERM
+W0621 22:17:05.989000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804686 closing signal SIGTERM
+W0621 22:17:05.991000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804687 closing signal SIGTERM
+W0621 22:17:05.992000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 804688 closing signal SIGTERM
+W0621 22:17:06.003000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788738 closing signal SIGTERM
+W0621 22:17:06.007000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788739 closing signal SIGTERM
+W0621 22:17:06.007000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788740 closing signal SIGTERM
+W0621 22:17:06.007000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788741 closing signal SIGTERM
+W0621 22:17:06.008000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788742 closing signal SIGTERM
+W0621 22:17:06.010000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788744 closing signal SIGTERM
+W0621 22:17:06.011000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1788745 closing signal SIGTERM
+E0621 22:17:06.040000 2069442 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 2069513) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:05
+  host      : fs-mbz-gpu-702
+  rank      : 9 (local_rank: 1)
+  exitcode  : 1 (pid: 2069513)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+W0621 22:17:06.106000 1905775 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1905845 closing signal SIGTERM
+W0621 22:17:06.109000 1905775 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1905847 closing signal SIGTERM
+W0621 22:17:06.109000 1905775 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1905849 closing signal SIGTERM
+W0621 22:17:06.110000 1905775 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1905851 closing signal SIGTERM
+E0621 22:17:06.239000 1905775 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 1905846) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2025-06-21_22:17:06
+  host      : fs-mbz-gpu-816
+  rank      : 27 (local_rank: 3)
+  exitcode  : 1 (pid: 1905848)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+[2]:
+  time      : 2025-06-21_22:17:06
+  host      : fs-mbz-gpu-816
+  rank      : 29 (local_rank: 5)
+  exitcode  : 1 (pid: 1905850)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+[3]:
+  time      : 2025-06-21_22:17:06
+  host      : fs-mbz-gpu-816
+  rank      : 31 (local_rank: 7)
+  exitcode  : 1 (pid: 1905852)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:06
+  host      : fs-mbz-gpu-816
+  rank      : 25 (local_rank: 1)
+  exitcode  : 1 (pid: 1905846)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:17:06.320000 804610 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 7 (pid: 804689) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
++ set +x
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+E0621 22:17:06.352000 1788654 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 5 (pid: 1788743) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:05
+  host      : fs-mbz-gpu-600
+  rank      : 7 (local_rank: 7)
+  exitcode  : 1 (pid: 804689)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:06
+  host      : fs-mbz-gpu-717
+  rank      : 21 (local_rank: 5)
+  exitcode  : 1 (pid: 1788743)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=32768
++ PROF_CTX_LENGTH=32768
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L32768*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L32768*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=32768, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 32768 --max-position-embeddings 32768 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 32768 --max-position-embeddings 32768 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 32768 --max-position-embeddings 32768 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 32768 --max-position-embeddings 32768 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:10.406000 1790475 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:10.406000 1790475 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:10.406000 1790475 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:10.406000 1790475 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:10.438000 1907601 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:10.438000 1907601 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:10.438000 1907601 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:10.438000 1907601 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:10.492000 806491 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:10.492000 806491 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:10.492000 806491 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:10.492000 806491 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:10.514000 2071266 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:10.514000 2071266 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:10.514000 2071266 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:10.514000 2071266 site-packages/torch/distributed/run.py:766] *****************************************
+[rank1]:[W621 22:17:33.081055228 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:17:33.081055358 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:17:33.081761137 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:17:33.082050552 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:17:33.082303320 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:17:33.082365428 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:17:33.573997614 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:17:33.677369190 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:17:33.677372215 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:17:33.677505442 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:17:33.677769473 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:17:33.092116824 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:17:33.579501362 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:17:33.969118979 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:17:33.969193035 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:17:33.969226010 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:17:33.678365669 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:17:33.678368985 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:17:33.579531560 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:17:33.969675113 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:17:33.692800251 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:17:33.579558659 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:17:33.969719002 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:17:33.580136369 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:17:33.969778953 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:17:33.580203125 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:17:33.970642437 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:17:33.582947868 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:17:33.052404387 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:17:33.662560990 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:17:33.778764433 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:17:33.234086162 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank14]:     iteration, num_floating_point_operations_so_far = train(
+[rank14]:                                                       ^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank14]:     ) = train_step(
+[rank14]:         ^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank14]:     losses_reduced = forward_backward_func(
+[rank14]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]:     output_tensor, num_tokens = forward_step(
+[rank14]:                                 ^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank14]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank14]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank14]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank14]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank14]:     batch = next(global_batches)
+[rank14]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank14]:     attention_mask = torch.ones(
+[rank14]:                      ^^^^^^^^^^^
+[rank14]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank12]:     iteration, num_floating_point_operations_so_far = train(
+[rank12]:                                                       ^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank12]:     ) = train_step(
+[rank12]:         ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank12]:     losses_reduced = forward_backward_func(
+[rank12]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank12]:     output_tensor, num_tokens = forward_step(
+[rank12]:                                 ^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank12]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank12]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank12]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank30]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]:                                                       ^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank30]:     ) = train_step(
+[rank30]:         ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank30]:     losses_reduced = forward_backward_func(
+[rank30]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank12]:     batch = next(global_batches)
+[rank12]:             ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank12]:     attention_mask = torch.ones(
+[rank12]:                      ^^^^^^^^^^^
+[rank12]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank23]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:                                                       ^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank23]:     ) = train_step(
+[rank23]:         ^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank23]:     losses_reduced = forward_backward_func(
+[rank23]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank30]:     output_tensor, num_tokens = forward_step(
+[rank30]:                                 ^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank30]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank30]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:     output_tensor, num_tokens = forward_step(
+[rank23]:                                 ^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank23]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank23]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank23]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank30]:     batch = next(global_batches)
+[rank30]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank30]:     attention_mask = torch.ones(
+[rank30]:                      ^^^^^^^^^^^
+[rank30]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank23]:     batch = next(global_batches)
+[rank23]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank23]:     attention_mask = torch.ones(
+[rank23]:                      ^^^^^^^^^^^
+[rank23]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank18]:     iteration, num_floating_point_operations_so_far = train(
+[rank18]:                                                       ^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank18]:     ) = train_step(
+[rank18]:         ^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank18]:     losses_reduced = forward_backward_func(
+[rank18]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank8]:     iteration, num_floating_point_operations_so_far = train(
+[rank8]:                                                       ^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank8]:     ) = train_step(
+[rank8]:         ^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank8]:     losses_reduced = forward_backward_func(
+[rank8]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:     output_tensor, num_tokens = forward_step(
+[rank18]:                                 ^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, num_tokens = forward_step(
+[rank8]:                                 ^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank8]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank8]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank8]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank8]:     batch = next(global_batches)
+[rank8]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank18]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank18]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank18]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank18]:     batch = next(global_batches)
+[rank18]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank18]:     attention_mask = torch.ones(
+[rank18]:                      ^^^^^^^^^^^
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank0]:     iteration, num_floating_point_operations_so_far = train(
+[rank0]:                                                       ^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank0]:     ) = train_step(
+[rank0]:         ^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank0]:     losses_reduced = forward_backward_func(
+[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank26]:     iteration, num_floating_point_operations_so_far = train(
+[rank26]:                                                       ^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank26]:     ) = train_step(
+[rank26]:         ^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank26]:     losses_reduced = forward_backward_func(
+[rank26]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank8]:     attention_mask = torch.ones(
+[rank8]:                      ^^^^^^^^^^^
+[rank8]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank18]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank0]:     output_tensor, num_tokens = forward_step(
+[rank0]:                                 ^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank0]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank0]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank0]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank0]:     batch = next(global_batches)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:     output_tensor, num_tokens = forward_step(
+[rank26]:                                 ^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank26]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank26]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank26]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank26]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank11]:     iteration, num_floating_point_operations_so_far = train(
+[rank11]:                                                       ^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank11]:     ) = train_step(
+[rank11]:         ^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank11]:     losses_reduced = forward_backward_func(
+[rank11]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank0]:     attention_mask = torch.ones(
+[rank0]:                      ^^^^^^^^^^^
+[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank26]:     batch = next(global_batches)
+[rank26]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank26]:     attention_mask = torch.ones(
+[rank26]:                      ^^^^^^^^^^^
+[rank26]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:     output_tensor, num_tokens = forward_step(
+[rank11]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank11]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank11]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank11]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank11]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank4]:     iteration, num_floating_point_operations_so_far = train(
+[rank4]:                                                       ^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank4]:     ) = train_step(
+[rank4]:         ^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank4]:     losses_reduced = forward_backward_func(
+[rank4]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank11]:     batch = next(global_batches)
+[rank11]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank11]:     attention_mask = torch.ones(
+[rank11]:                      ^^^^^^^^^^^
+[rank11]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank4]:     output_tensor, num_tokens = forward_step(
+[rank4]:                                 ^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank4]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank4]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank4]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank4]:     batch = next(global_batches)
+[rank4]:             ^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank4]:     attention_mask = torch.ones(
+[rank4]:                      ^^^^^^^^^^^
+[rank4]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank16]:     iteration, num_floating_point_operations_so_far = train(
+[rank16]:                                                       ^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank16]:     ) = train_step(
+[rank16]:         ^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank16]:     losses_reduced = forward_backward_func(
+[rank16]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:     output_tensor, num_tokens = forward_step(
+[rank16]:                                 ^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank16]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank16]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank16]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank16]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank3]:     iteration, num_floating_point_operations_so_far = train(
+[rank3]:                                                       ^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank3]:     ) = train_step(
+[rank3]:         ^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank3]:     losses_reduced = forward_backward_func(
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank16]:     batch = next(global_batches)
+[rank16]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank16]:     attention_mask = torch.ones(
+[rank16]:                      ^^^^^^^^^^^
+[rank16]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank3]:     output_tensor, num_tokens = forward_step(
+[rank3]:                                 ^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank3]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank3]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank3]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank3]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank3]:     batch = next(global_batches)
+[rank3]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank19]:     iteration, num_floating_point_operations_so_far = train(
+[rank19]:                                                       ^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank19]:     ) = train_step(
+[rank19]:         ^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank19]:     losses_reduced = forward_backward_func(
+[rank19]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank3]:     attention_mask = torch.ones(
+[rank3]:                      ^^^^^^^^^^^
+[rank3]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:     output_tensor, num_tokens = forward_step(
+[rank19]:                                 ^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank19]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank19]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank19]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank19]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank19]:     batch = next(global_batches)
+[rank19]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank19]:     attention_mask = torch.ones(
+[rank19]:                      ^^^^^^^^^^^
+[rank19]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank22]:     iteration, num_floating_point_operations_so_far = train(
+[rank22]:                                                       ^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank22]:     ) = train_step(
+[rank22]:         ^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank22]:     losses_reduced = forward_backward_func(
+[rank22]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]:     output_tensor, num_tokens = forward_step(
+[rank22]:                                 ^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank22]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank22]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank22]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank22]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank22]:     batch = next(global_batches)
+[rank22]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank22]:     attention_mask = torch.ones(
+[rank22]:                      ^^^^^^^^^^^
+[rank22]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank13]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank13]:     iteration, num_floating_point_operations_so_far = train(
+[rank13]:                                                       ^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank13]:     ) = train_step(
+[rank13]:         ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank13]:     losses_reduced = forward_backward_func(
+[rank13]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank13]:     output_tensor, num_tokens = forward_step(
+[rank13]:                                 ^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank13]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank13]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank13]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank13]:     batch = next(global_batches)
+[rank13]:             ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank13]:     attention_mask = torch.ones(
+[rank13]:                      ^^^^^^^^^^^
+[rank13]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank15]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:                                                       ^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank15]:     ) = train_step(
+[rank15]:         ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank15]:     losses_reduced = forward_backward_func(
+[rank15]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank15]:     output_tensor, num_tokens = forward_step(
+[rank15]:                                 ^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank15]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank15]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank15]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank15]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank20]:     iteration, num_floating_point_operations_so_far = train(
+[rank20]:                                                       ^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank20]:     ) = train_step(
+[rank20]:         ^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank20]:     losses_reduced = forward_backward_func(
+[rank20]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank15]:     batch = next(global_batches)
+[rank15]:             ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank15]:     attention_mask = torch.ones(
+[rank15]:                      ^^^^^^^^^^^
+[rank15]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:     output_tensor, num_tokens = forward_step(
+[rank20]:                                 ^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank20]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank20]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank20]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank20]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank5]:     iteration, num_floating_point_operations_so_far = train(
+[rank5]:                                                       ^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank5]:     ) = train_step(
+[rank5]:         ^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank5]:     losses_reduced = forward_backward_func(
+[rank5]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank20]:     batch = next(global_batches)
+[rank20]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank20]:     attention_mask = torch.ones(
+[rank20]:                      ^^^^^^^^^^^
+[rank20]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]:     output_tensor, num_tokens = forward_step(
+[rank5]:                                 ^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank5]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank5]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank5]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank5]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank5]:     batch = next(global_batches)
+[rank5]:             ^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank5]:     attention_mask = torch.ones(
+[rank5]:                      ^^^^^^^^^^^
+[rank5]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank1]:     iteration, num_floating_point_operations_so_far = train(
+[rank1]:                                                       ^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank1]:     ) = train_step(
+[rank1]:         ^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank1]:     losses_reduced = forward_backward_func(
+[rank1]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank24]:     iteration, num_floating_point_operations_so_far = train(
+[rank24]:                                                       ^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank24]:     ) = train_step(
+[rank24]:         ^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank24]:     losses_reduced = forward_backward_func(
+[rank24]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]: Traceback (most recent call last):
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank9]:     iteration, num_floating_point_operations_so_far = train(
+[rank9]:                                                       ^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank9]:     ) = train_step(
+[rank9]:         ^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank9]:     losses_reduced = forward_backward_func(
+[rank9]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank21]:     iteration, num_floating_point_operations_so_far = train(
+[rank21]:                                                       ^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank21]:     ) = train_step(
+[rank21]:         ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank21]:     losses_reduced = forward_backward_func(
+[rank21]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:     output_tensor, num_tokens = forward_step(
+[rank1]:                                 ^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank1]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank1]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank1]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank1]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank1]:     batch = next(global_batches)
+[rank1]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, num_tokens = forward_step(
+[rank24]:                                 ^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank24]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank24]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank24]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank24]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:     output_tensor, num_tokens = forward_step(
+[rank9]:                                 ^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank9]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank9]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank9]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank9]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank9]:     batch = next(global_batches)
+[rank9]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:     output_tensor, num_tokens = forward_step(
+[rank21]:                                 ^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank21]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank21]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank21]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank1]:     attention_mask = torch.ones(
+[rank1]:                      ^^^^^^^^^^^
+[rank1]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank24]:     batch = next(global_batches)
+[rank24]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank24]:     attention_mask = torch.ones(
+[rank24]:                      ^^^^^^^^^^^
+[rank24]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank9]:     attention_mask = torch.ones(
+[rank9]:                      ^^^^^^^^^^^
+[rank9]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank21]:     batch = next(global_batches)
+[rank21]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank21]:     attention_mask = torch.ones(
+[rank21]:                      ^^^^^^^^^^^
+[rank21]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank2]:     iteration, num_floating_point_operations_so_far = train(
+[rank2]:                                                       ^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank2]:     ) = train_step(
+[rank2]:         ^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank2]:     losses_reduced = forward_backward_func(
+[rank2]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank2]:     output_tensor, num_tokens = forward_step(
+[rank2]:                                 ^^^^^^^^^^^^^
+[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank28]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]:                                                       ^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank28]:     ) = train_step(
+[rank28]:         ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:     losses_reduced = forward_backward_func(
+[rank28]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank10]:     iteration, num_floating_point_operations_so_far = train(
+[rank10]:                                                       ^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank10]:     ) = train_step(
+[rank10]:         ^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank10]:     losses_reduced = forward_backward_func(
+[rank10]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]:     output_tensor, num_tokens = forward_step(
+[rank28]:                                 ^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank28]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank28]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank28]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank10]:     output_tensor, num_tokens = forward_step(
+[rank10]:                                 ^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank10]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank10]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank10]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank10]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank2]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank2]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank2]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank2]:     batch = next(global_batches)
+[rank2]:             ^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank2]:     attention_mask = torch.ones(
+[rank2]:                      ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank28]:     batch = next(global_batches)
+[rank28]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank28]:     attention_mask = torch.ones(
+[rank28]:                      ^^^^^^^^^^^
+[rank28]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank10]:     batch = next(global_batches)
+[rank10]:             ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank10]:     attention_mask = torch.ones(
+[rank10]:                      ^^^^^^^^^^^
+[rank10]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank17]:     iteration, num_floating_point_operations_so_far = train(
+[rank17]:                                                       ^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank17]:     ) = train_step(
+[rank17]:         ^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank17]:     losses_reduced = forward_backward_func(
+[rank17]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank29]: Traceback (most recent call last):
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank29]:     iteration, num_floating_point_operations_so_far = train(
+[rank29]:                                                       ^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank29]:     ) = train_step(
+[rank29]:         ^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank29]:     losses_reduced = forward_backward_func(
+[rank29]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:     output_tensor, num_tokens = forward_step(
+[rank17]:                                 ^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank17]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank17]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank17]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank17]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank7]:     iteration, num_floating_point_operations_so_far = train(
+[rank7]:                                                       ^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank7]:     ) = train_step(
+[rank7]:         ^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank7]:     losses_reduced = forward_backward_func(
+[rank7]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:     output_tensor, num_tokens = forward_step(
+[rank29]:                                 ^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank29]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank29]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank29]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank29]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank17]:     batch = next(global_batches)
+[rank17]:             ^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank17]:     attention_mask = torch.ones(
+[rank17]:                      ^^^^^^^^^^^
+[rank17]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.00 GiB is free. Including non-PyTorch memory, this process has 3.81 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:     output_tensor, num_tokens = forward_step(
+[rank7]:                                 ^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank7]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank7]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank7]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank7]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank7]:     batch = next(global_batches)
+[rank7]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank29]:     batch = next(global_batches)
+[rank29]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank29]:     attention_mask = torch.ones(
+[rank29]:                      ^^^^^^^^^^^
+[rank29]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank7]:     attention_mask = torch.ones(
+[rank7]:                      ^^^^^^^^^^^
+[rank7]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.01 GiB is free. Including non-PyTorch memory, this process has 3.79 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank27]:     iteration, num_floating_point_operations_so_far = train(
+[rank27]:                                                       ^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank27]:     ) = train_step(
+[rank27]:         ^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank27]:     losses_reduced = forward_backward_func(
+[rank27]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank6]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:                                                       ^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank6]:     ) = train_step(
+[rank6]:         ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank6]:     losses_reduced = forward_backward_func(
+[rank6]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:     output_tensor, num_tokens = forward_step(
+[rank27]:                                 ^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank27]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank27]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank27]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank27]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:     output_tensor, num_tokens = forward_step(
+[rank6]:                                 ^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank6]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank6]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank6]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank6]:     batch = next(global_batches)
+[rank6]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank27]:     batch = next(global_batches)
+[rank27]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank27]:     attention_mask = torch.ones(
+[rank27]:                      ^^^^^^^^^^^
+[rank27]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank6]:     attention_mask = torch.ones(
+[rank6]:                      ^^^^^^^^^^^
+[rank6]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank31]:     iteration, num_floating_point_operations_so_far = train(
+[rank31]:                                                       ^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank31]:     ) = train_step(
+[rank31]:         ^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank31]:     losses_reduced = forward_backward_func(
+[rank31]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:     output_tensor, num_tokens = forward_step(
+[rank31]:                                 ^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank31]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank31]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank31]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank31]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank31]:     batch = next(global_batches)
+[rank31]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank31]:     attention_mask = torch.ones(
+[rank31]:                      ^^^^^^^^^^^
+[rank31]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank25]:     iteration, num_floating_point_operations_so_far = train(
+[rank25]:                                                       ^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank25]:     ) = train_step(
+[rank25]:         ^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank25]:     losses_reduced = forward_backward_func(
+[rank25]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:     output_tensor, num_tokens = forward_step(
+[rank25]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank25]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank25]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank25]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank25]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank25]:     batch = next(global_batches)
+[rank25]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank25]:     attention_mask = torch.ones(
+[rank25]:                      ^^^^^^^^^^^
+[rank25]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 136.03 GiB is free. Including non-PyTorch memory, this process has 3.77 GiB memory in use. Of the allocated memory 2.08 GiB is allocated by PyTorch, and 195.60 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank21]:[W621 22:17:44.558958157 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:17:44.037833237 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:17:44.039456090 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:17:44.098718141 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:17:44.699986527 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:17:44.116023005 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:17:44.717789373 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:17:44.006395733 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:17:44.728547379 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:17:44.147969247 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:17:44.059895473 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:17:44.677276078 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:17:44.086937567 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:17:44.087664913 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:17:44.734977673 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:17:44.735044387 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:17:44.128042639 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:17:44.745783099 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:17:44.745853694 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:17:44.777913253 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:17:44.295700430 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:17:44.890125755 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:17:45.949856425 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:17:45.361936306 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:17:45.871000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790546 closing signal SIGTERM
+W0621 22:17:45.872000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790548 closing signal SIGTERM
+W0621 22:17:45.874000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790549 closing signal SIGTERM
+W0621 22:17:45.874000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790550 closing signal SIGTERM
+W0621 22:17:45.877000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790551 closing signal SIGTERM
+W0621 22:17:45.877000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790552 closing signal SIGTERM
+W0621 22:17:45.878000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1790553 closing signal SIGTERM
+W0621 22:17:46.159000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071337 closing signal SIGTERM
+W0621 22:17:46.162000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071338 closing signal SIGTERM
+W0621 22:17:46.163000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071340 closing signal SIGTERM
+W0621 22:17:46.163000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071341 closing signal SIGTERM
+W0621 22:17:46.165000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071342 closing signal SIGTERM
+W0621 22:17:46.165000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071343 closing signal SIGTERM
+W0621 22:17:46.165000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2071344 closing signal SIGTERM
+W0621 22:17:46.208000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806581 closing signal SIGTERM
+W0621 22:17:46.210000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806583 closing signal SIGTERM
+W0621 22:17:46.211000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806584 closing signal SIGTERM
+W0621 22:17:46.211000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806585 closing signal SIGTERM
+W0621 22:17:46.214000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806586 closing signal SIGTERM
+W0621 22:17:46.214000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 806587 closing signal SIGTERM
+E0621 22:17:46.271000 1790475 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 1790547) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:17:46.275000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1907671 closing signal SIGTERM
+W0621 22:17:46.278000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1907672 closing signal SIGTERM
+W0621 22:17:46.279000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1907675 closing signal SIGTERM
+W0621 22:17:46.280000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1907677 closing signal SIGTERM
+W0621 22:17:46.281000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1907678 closing signal SIGTERM
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:45
+  host      : fs-mbz-gpu-717
+  rank      : 17 (local_rank: 1)
+  exitcode  : 1 (pid: 1790547)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:17:46.522000 1907601 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 2 (pid: 1907673) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-816
+  rank      : 27 (local_rank: 3)
+  exitcode  : 1 (pid: 1907674)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+[2]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-816
+  rank      : 29 (local_rank: 5)
+  exitcode  : 1 (pid: 1907676)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-816
+  rank      : 26 (local_rank: 2)
+  exitcode  : 1 (pid: 1907673)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
+E0621 22:17:46.594000 2071266 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 2 (pid: 2071339) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+E0621 22:17:46.592000 806491 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 806582) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-600
+  rank      : 7 (local_rank: 7)
+  exitcode  : 1 (pid: 806588)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-600
+  rank      : 1 (local_rank: 1)
+  exitcode  : 1 (pid: 806582)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:17:46
+  host      : fs-mbz-gpu-702
+  rank      : 10 (local_rank: 2)
+  exitcode  : 1 (pid: 2071339)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=40960
++ PROF_CTX_LENGTH=40960
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L40960*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L40960*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=40960, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 40960 --max-position-embeddings 40960 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 40960 --max-position-embeddings 40960 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 40960 --max-position-embeddings 40960 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 40960 --max-position-embeddings 40960 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:50.855000 1792299 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:50.855000 1792299 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:50.855000 1792299 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:50.855000 1792299 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:50.863000 2073088 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:50.863000 2073088 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:50.863000 2073088 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:50.863000 2073088 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:50.927000 1909423 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:50.927000 1909423 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:50.927000 1909423 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:50.927000 1909423 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:17:50.930000 808370 site-packages/torch/distributed/run.py:766] 
+W0621 22:17:50.930000 808370 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:17:50.930000 808370 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:17:50.930000 808370 site-packages/torch/distributed/run.py:766] *****************************************
+[rank1]:[W621 22:18:14.067616923 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:18:14.067625353 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:18:14.560828955 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:18:14.560851365 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 22:18:14.067903331 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:18:14.662776849 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:18:14.560879131 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:18:14.956982554 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:18:14.957088881 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:18:14.957373368 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:18:14.669670649 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:18:14.077809417 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:18:14.078010383 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:18:14.078936123 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:18:14.079008463 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:18:14.672266400 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:18:14.571989149 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:18:14.572289816 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:18:14.677517707 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:18:14.677538598 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:18:14.677829306 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:18:14.966270280 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:18:14.678085466 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:18:14.966645117 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:18:14.966675811 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:18:14.966688484 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:18:14.575673517 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:18:14.583060624 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:18:14.752467269 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:18:14.047787767 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:18:14.667392935 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:18:14.219771587 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank3]:     iteration, num_floating_point_operations_so_far = train(
+[rank3]:                                                       ^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank3]:     ) = train_step(
+[rank3]:         ^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank3]:     losses_reduced = forward_backward_func(
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank3]:     output_tensor, num_tokens = forward_step(
+[rank3]:                                 ^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank3]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank3]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank3]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank3]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank3]:     batch = next(global_batches)
+[rank3]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank11]:     iteration, num_floating_point_operations_so_far = train(
+[rank11]:                                                       ^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank11]:     ) = train_step(
+[rank11]:         ^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank11]:     losses_reduced = forward_backward_func(
+[rank11]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank3]:     attention_mask = torch.ones(
+[rank3]:                      ^^^^^^^^^^^
+[rank3]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:     output_tensor, num_tokens = forward_step(
+[rank11]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank11]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank11]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank11]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank11]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]: Traceback (most recent call last):
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank29]:     iteration, num_floating_point_operations_so_far = train(
+[rank29]:                                                       ^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank29]:     ) = train_step(
+[rank29]:         ^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank29]:     losses_reduced = forward_backward_func(
+[rank29]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank5]:     iteration, num_floating_point_operations_so_far = train(
+[rank5]:                                                       ^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank5]:     ) = train_step(
+[rank5]:         ^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank5]:     losses_reduced = forward_backward_func(
+[rank5]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank5]:     output_tensor, num_tokens = forward_step(
+[rank5]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank11]:     batch = next(global_batches)
+[rank11]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank11]:     attention_mask = torch.ones(
+[rank11]:                      ^^^^^^^^^^^
+[rank11]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:     output_tensor, num_tokens = forward_step(
+[rank29]:                                 ^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank29]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank29]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank29]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank29]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank15]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:                                                       ^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank15]:     ) = train_step(
+[rank15]:         ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank15]:     losses_reduced = forward_backward_func(
+[rank15]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank29]:     batch = next(global_batches)
+[rank29]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank29]:     attention_mask = torch.ones(
+[rank29]:                      ^^^^^^^^^^^
+[rank29]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank5]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank5]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank5]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank5]:     batch = next(global_batches)
+[rank5]:             ^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank5]:     attention_mask = torch.ones(
+[rank5]:                      ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank15]:     output_tensor, num_tokens = forward_step(
+[rank15]:                                 ^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank15]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank15]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank15]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank15]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank25]:     iteration, num_floating_point_operations_so_far = train(
+[rank25]:                                                       ^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank25]:     ) = train_step(
+[rank25]:         ^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank25]:     losses_reduced = forward_backward_func(
+[rank25]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank7]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank15]:     batch = next(global_batches)
+[rank15]:             ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank15]:     attention_mask = torch.ones(
+[rank15]:                      ^^^^^^^^^^^
+[rank15]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:     output_tensor, num_tokens = forward_step(
+[rank25]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank25]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank25]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank25]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank25]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:                                                       ^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank7]:     ) = train_step(
+[rank7]:         ^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank7]:     losses_reduced = forward_backward_func(
+[rank7]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank7]:     output_tensor, num_tokens = forward_step(
+[rank7]:                                 ^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank7]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank13]:     iteration, num_floating_point_operations_so_far = train(
+[rank13]:                                                       ^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank13]:     ) = train_step(
+[rank13]:         ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank13]:     losses_reduced = forward_backward_func(
+[rank13]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank25]:     batch = next(global_batches)
+[rank25]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank25]:     attention_mask = torch.ones(
+[rank25]:                      ^^^^^^^^^^^
+[rank25]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank7]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank7]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank7]:     batch = next(global_batches)
+[rank7]:             ^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank7]:     attention_mask = torch.ones(
+[rank7]:                      ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank13]:     output_tensor, num_tokens = forward_step(
+[rank13]:                                 ^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank13]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank13]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank13]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank13]:     batch = next(global_batches)
+[rank13]:             ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank13]:     attention_mask = torch.ones(
+[rank13]:                      ^^^^^^^^^^^
+[rank13]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank14]:     iteration, num_floating_point_operations_so_far = train(
+[rank14]:                                                       ^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank14]:     ) = train_step(
+[rank14]:         ^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank14]:     losses_reduced = forward_backward_func(
+[rank14]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]:     output_tensor, num_tokens = forward_step(
+[rank14]:                                 ^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank14]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank14]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank14]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank14]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank14]:     batch = next(global_batches)
+[rank14]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank14]:     attention_mask = torch.ones(
+[rank14]:                      ^^^^^^^^^^^
+[rank14]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]: Traceback (most recent call last):
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank9]:     iteration, num_floating_point_operations_so_far = train(
+[rank9]:                                                       ^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank9]:     ) = train_step(
+[rank9]:         ^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank9]:     losses_reduced = forward_backward_func(
+[rank9]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank9]:     output_tensor, num_tokens = forward_step(
+[rank9]:                                 ^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank9]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank9]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank9]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank9]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank9]:     batch = next(global_batches)
+[rank9]:             ^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank9]:     attention_mask = torch.ones(
+[rank9]:                      ^^^^^^^^^^^
+[rank9]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank4]:     iteration, num_floating_point_operations_so_far = train(
+[rank4]:                                                       ^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank4]:     ) = train_step(
+[rank4]:         ^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank4]:     losses_reduced = forward_backward_func(
+[rank4]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank22]:     iteration, num_floating_point_operations_so_far = train(
+[rank22]:                                                       ^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank22]:     ) = train_step(
+[rank22]:         ^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank22]:     losses_reduced = forward_backward_func(
+[rank22]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank10]:     iteration, num_floating_point_operations_so_far = train(
+[rank10]:                                                       ^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank10]:     ) = train_step(
+[rank10]:         ^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank10]:     losses_reduced = forward_backward_func(
+[rank10]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank10]:     output_tensor, num_tokens = forward_step(
+[rank10]:                                 ^^^^^^^^^^^^^
+[rank4]:     output_tensor, num_tokens = forward_step(
+[rank4]:                                 ^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank4]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank4]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank4]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank4]:     batch = next(global_batches)
+[rank4]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]:     output_tensor, num_tokens = forward_step(
+[rank22]:                                 ^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank22]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank22]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank22]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank22]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank4]:     attention_mask = torch.ones(
+[rank4]:                      ^^^^^^^^^^^
+[rank4]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank22]:     batch = next(global_batches)
+[rank22]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank22]:     attention_mask = torch.ones(
+[rank22]:                      ^^^^^^^^^^^
+[rank22]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank10]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank10]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank10]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank10]:     batch = next(global_batches)
+[rank10]:             ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank10]:     attention_mask = torch.ones(
+[rank10]:                      ^^^^^^^^^^^
+[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank18]:     iteration, num_floating_point_operations_so_far = train(
+[rank18]:                                                       ^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank18]:     ) = train_step(
+[rank18]:         ^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank18]:     losses_reduced = forward_backward_func(
+[rank18]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank10]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:     output_tensor, num_tokens = forward_step(
+[rank18]:                                 ^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank12]:     iteration, num_floating_point_operations_so_far = train(
+[rank12]:                                                       ^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank12]:     ) = train_step(
+[rank12]:         ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank12]:     losses_reduced = forward_backward_func(
+[rank12]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank18]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank18]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank18]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank18]:     batch = next(global_batches)
+[rank18]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank18]:     attention_mask = torch.ones(
+[rank18]:                      ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank12]:     output_tensor, num_tokens = forward_step(
+[rank12]:                                 ^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank12]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank12]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank12]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank2]:     iteration, num_floating_point_operations_so_far = train(
+[rank2]:                                                       ^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank2]:     ) = train_step(
+[rank2]:         ^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank2]:     losses_reduced = forward_backward_func(
+[rank2]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank12]:     batch = next(global_batches)
+[rank12]:             ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank12]:     attention_mask = torch.ones(
+[rank12]:                      ^^^^^^^^^^^
+[rank12]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]:     output_tensor, num_tokens = forward_step(
+[rank2]:                                 ^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank2]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank2]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank2]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank2]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank2]:     batch = next(global_batches)
+[rank2]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank21]:     iteration, num_floating_point_operations_so_far = train(
+[rank21]:                                                       ^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank21]:     ) = train_step(
+[rank21]:         ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank21]:     losses_reduced = forward_backward_func(
+[rank21]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank8]:     iteration, num_floating_point_operations_so_far = train(
+[rank8]:                                                       ^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank8]:     ) = train_step(
+[rank8]:         ^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank8]:     losses_reduced = forward_backward_func(
+[rank8]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank28]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]:                                                       ^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank28]:     ) = train_step(
+[rank28]:         ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:     losses_reduced = forward_backward_func(
+[rank28]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank2]:     attention_mask = torch.ones(
+[rank2]:                      ^^^^^^^^^^^
+[rank2]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:     output_tensor, num_tokens = forward_step(
+[rank21]:                                 ^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank21]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank21]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank21]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:     output_tensor, num_tokens = forward_step(
+[rank8]:                                 ^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank8]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank8]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank8]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank8]:     batch = next(global_batches)
+[rank8]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]:     output_tensor, num_tokens = forward_step(
+[rank28]:                                 ^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank28]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank28]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank28]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank1]:     iteration, num_floating_point_operations_so_far = train(
+[rank1]:                                                       ^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank1]:     ) = train_step(
+[rank1]:         ^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank1]:     losses_reduced = forward_backward_func(
+[rank1]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank21]:     batch = next(global_batches)
+[rank21]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank21]:     attention_mask = torch.ones(
+[rank21]:                      ^^^^^^^^^^^
+[rank21]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank8]:     attention_mask = torch.ones(
+[rank8]:                      ^^^^^^^^^^^
+[rank8]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank28]:     batch = next(global_batches)
+[rank28]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank28]:     attention_mask = torch.ones(
+[rank28]:                      ^^^^^^^^^^^
+[rank28]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]:     output_tensor, num_tokens = forward_step(
+[rank1]:                                 ^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank1]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank1]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank1]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank1]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank1]:     batch = next(global_batches)
+[rank1]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank19]:     iteration, num_floating_point_operations_so_far = train(
+[rank19]:                                                       ^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank19]:     ) = train_step(
+[rank19]:         ^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank19]:     losses_reduced = forward_backward_func(
+[rank19]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank24]:     iteration, num_floating_point_operations_so_far = train(
+[rank24]:                                                       ^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank24]:     ) = train_step(
+[rank24]:         ^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank24]:     losses_reduced = forward_backward_func(
+[rank24]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank1]:     attention_mask = torch.ones(
+[rank1]:                      ^^^^^^^^^^^
+[rank1]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:     output_tensor, num_tokens = forward_step(
+[rank19]:                                 ^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank19]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank19]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank19]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank19]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, num_tokens = forward_step(
+[rank24]:                                 ^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank0]:     iteration, num_floating_point_operations_so_far = train(
+[rank0]:                                                       ^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank0]:     ) = train_step(
+[rank0]:         ^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank0]:     losses_reduced = forward_backward_func(
+[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank19]:     batch = next(global_batches)
+[rank19]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank19]:     attention_mask = torch.ones(
+[rank19]:                      ^^^^^^^^^^^
+[rank19]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank24]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank24]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank24]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank24]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank24]:     batch = next(global_batches)
+[rank24]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank24]:     attention_mask = torch.ones(
+[rank24]:                      ^^^^^^^^^^^
+[rank0]:     output_tensor, num_tokens = forward_step(
+[rank0]:                                 ^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank0]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank0]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank0]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank0]:     batch = next(global_batches)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank23]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:                                                       ^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank23]:     ) = train_step(
+[rank23]:         ^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank23]:     losses_reduced = forward_backward_func(
+[rank23]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank24]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank0]:     attention_mask = torch.ones(
+[rank0]:                      ^^^^^^^^^^^
+[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:     output_tensor, num_tokens = forward_step(
+[rank23]:                                 ^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank23]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank23]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank23]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank26]:     iteration, num_floating_point_operations_so_far = train(
+[rank26]:                                                       ^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank26]:     ) = train_step(
+[rank26]:         ^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank26]:     losses_reduced = forward_backward_func(
+[rank26]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank6]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:                                                       ^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank6]:     ) = train_step(
+[rank6]:         ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank6]:     losses_reduced = forward_backward_func(
+[rank6]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank23]:     batch = next(global_batches)
+[rank23]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank23]:     attention_mask = torch.ones(
+[rank23]:                      ^^^^^^^^^^^
+[rank23]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:     output_tensor, num_tokens = forward_step(
+[rank26]:                                 ^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank26]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank26]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank26]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank26]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:     output_tensor, num_tokens = forward_step(
+[rank6]:                                 ^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank6]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank6]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank6]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank6]:     batch = next(global_batches)
+[rank6]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank26]:     batch = next(global_batches)
+[rank26]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank26]:     attention_mask = torch.ones(
+[rank26]:                      ^^^^^^^^^^^
+[rank26]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank6]:     attention_mask = torch.ones(
+[rank6]:                      ^^^^^^^^^^^
+[rank6]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank27]:     iteration, num_floating_point_operations_so_far = train(
+[rank27]:                                                       ^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank27]:     ) = train_step(
+[rank27]:         ^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank27]:     losses_reduced = forward_backward_func(
+[rank27]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:     output_tensor, num_tokens = forward_step(
+[rank27]:                                 ^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank27]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank27]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank27]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank27]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank27]:     batch = next(global_batches)
+[rank27]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank27]:     attention_mask = torch.ones(
+[rank27]:                      ^^^^^^^^^^^
+[rank27]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank31]:     iteration, num_floating_point_operations_so_far = train(
+[rank31]:                                                       ^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank31]:     ) = train_step(
+[rank31]:         ^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank31]:     losses_reduced = forward_backward_func(
+[rank31]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:     output_tensor, num_tokens = forward_step(
+[rank31]:                                 ^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank31]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank31]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank31]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank31]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank17]:     iteration, num_floating_point_operations_so_far = train(
+[rank17]:                                                       ^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank17]:     ) = train_step(
+[rank17]:         ^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank17]:     losses_reduced = forward_backward_func(
+[rank17]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank31]:     batch = next(global_batches)
+[rank31]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank31]:     attention_mask = torch.ones(
+[rank31]:                      ^^^^^^^^^^^
+[rank31]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.88 GiB is free. Including non-PyTorch memory, this process has 3.93 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:     output_tensor, num_tokens = forward_step(
+[rank17]:                                 ^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank17]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank17]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank17]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank17]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank30]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]:                                                       ^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank30]:     ) = train_step(
+[rank30]:         ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank30]:     losses_reduced = forward_backward_func(
+[rank30]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank17]:     batch = next(global_batches)
+[rank17]:             ^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank17]:     attention_mask = torch.ones(
+[rank17]:                      ^^^^^^^^^^^
+[rank17]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.84 GiB is free. Including non-PyTorch memory, this process has 3.96 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank30]:     output_tensor, num_tokens = forward_step(
+[rank30]:                                 ^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank30]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank30]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank16]:     iteration, num_floating_point_operations_so_far = train(
+[rank16]:                                                       ^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank16]:     ) = train_step(
+[rank16]:         ^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank16]:     losses_reduced = forward_backward_func(
+[rank16]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank30]:     batch = next(global_batches)
+[rank30]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank30]:     attention_mask = torch.ones(
+[rank30]:                      ^^^^^^^^^^^
+[rank30]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.94 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:     output_tensor, num_tokens = forward_step(
+[rank16]:                                 ^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank16]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank16]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank16]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank16]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank16]:     batch = next(global_batches)
+[rank16]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank16]:     attention_mask = torch.ones(
+[rank16]:                      ^^^^^^^^^^^
+[rank16]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank20]:     iteration, num_floating_point_operations_so_far = train(
+[rank20]:                                                       ^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank20]:     ) = train_step(
+[rank20]:         ^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank20]:     losses_reduced = forward_backward_func(
+[rank20]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:     output_tensor, num_tokens = forward_step(
+[rank20]:                                 ^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank20]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank20]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank20]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank20]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank20]:     batch = next(global_batches)
+[rank20]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank20]:     attention_mask = torch.ones(
+[rank20]:                      ^^^^^^^^^^^
+[rank20]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 800.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.86 GiB is free. Including non-PyTorch memory, this process has 3.95 GiB memory in use. Of the allocated memory 2.34 GiB is allocated by PyTorch, and 88.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank14]:[W621 22:18:26.488883596 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:18:26.491481925 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:18:26.521888260 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:18:26.650891624 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:18:26.539356855 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:18:26.661243079 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:18:26.568135395 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:18:26.205575273 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:18:26.717393196 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:18:26.309726002 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:18:26.311535977 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:18:26.722413209 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:18:26.320279843 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:18:26.608900898 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:18:26.738801667 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:18:26.237020430 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:18:26.341842332 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:18:26.779603527 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:18:26.395213215 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank30]:[W621 22:18:26.379221522 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:18:26.379491319 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:18:26.553034850 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:18:26.657260501 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:18:26.563021290 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:18:27.461000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808460 closing signal SIGTERM
+W0621 22:18:27.464000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808461 closing signal SIGTERM
+W0621 22:18:27.464000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808462 closing signal SIGTERM
+W0621 22:18:27.465000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808463 closing signal SIGTERM
+W0621 22:18:27.465000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808464 closing signal SIGTERM
+W0621 22:18:27.467000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808466 closing signal SIGTERM
+W0621 22:18:27.468000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 808467 closing signal SIGTERM
+W0621 22:18:27.719000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073160 closing signal SIGTERM
+W0621 22:18:27.721000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073161 closing signal SIGTERM
+W0621 22:18:27.722000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073162 closing signal SIGTERM
+W0621 22:18:27.722000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073164 closing signal SIGTERM
+W0621 22:18:27.723000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073165 closing signal SIGTERM
+W0621 22:18:27.724000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073166 closing signal SIGTERM
+W0621 22:18:27.724000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2073167 closing signal SIGTERM
+W0621 22:18:27.761000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792370 closing signal SIGTERM
+W0621 22:18:27.762000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792371 closing signal SIGTERM
+W0621 22:18:27.763000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792373 closing signal SIGTERM
+W0621 22:18:27.763000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792374 closing signal SIGTERM
+W0621 22:18:27.766000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792375 closing signal SIGTERM
+W0621 22:18:27.766000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792376 closing signal SIGTERM
+W0621 22:18:27.767000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1792377 closing signal SIGTERM
+W0621 22:18:27.823000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1909494 closing signal SIGTERM
+W0621 22:18:27.826000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1909497 closing signal SIGTERM
+W0621 22:18:27.827000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1909498 closing signal SIGTERM
+W0621 22:18:27.828000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1909500 closing signal SIGTERM
+W0621 22:18:27.829000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1909501 closing signal SIGTERM
+E0621 22:18:27.830000 808370 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 5 (pid: 808465) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-600
+  rank      : 5 (local_rank: 5)
+  exitcode  : 1 (pid: 808465)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:18:28.152000 2073088 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 3 (pid: 2073163) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+[W621 22:18:28.350498968 TCPStore.cpp:115] [c10d] recvVector failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:58410, remote=[fs-mbz-gpu-600]:29500): failed to recv, got 0 bytes
+Exception raised from recvBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:678 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14bd553785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14bd3e65aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa0d0 (0x14bd3e65c0d0 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5baa81d (0x14bd3e65c81d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: <unknown function> + 0x5bab4a9 (0x14bd3e65d4a9 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x1fb (0x14bd3e6574cb in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: <unknown function> + 0xc0f919 (0x14bd4d98b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #7: <unknown function> + 0x37f17d (0x14bd4d0fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #25: <unknown function> + 0x29d90 (0x14bd5661fd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #26: __libc_start_main + 0x80 (0x14bd5661fe40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.176000 2073088 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2073088_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:18:28.363234430 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:58410, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14bd553785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14bd3e65aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14bd3e65c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14bd3e65db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x299 (0x14bd3e657569 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: <unknown function> + 0xc0f919 (0x14bd4d98b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #6: <unknown function> + 0x37f17d (0x14bd4d0fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #24: <unknown function> + 0x29d90 (0x14bd5661fd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #25: __libc_start_main + 0x80 (0x14bd5661fe40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.186000 2073088 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2073088_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:18:28.372440642 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:58410, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14bd553785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14bd3e65aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14bd3e65c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14bd3e65db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x299 (0x14bd3e657569 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: <unknown function> + 0xc0f919 (0x14bd4d98b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #6: <unknown function> + 0x37f17d (0x14bd4d0fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #24: <unknown function> + 0x29d90 (0x14bd5661fd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #25: __libc_start_main + 0x80 (0x14bd5661fe40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.196000 2073088 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2073088_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-702
+  rank      : 11 (local_rank: 3)
+  exitcode  : 1 (pid: 2073163)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:18:28.221000 1909423 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 1909495) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:18:28.236000 1909423 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1909423_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:18:28.030338644 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-816]:33230, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x1536633785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x15364c65aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x15364c65c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x15364c65db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x15364c657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x15364c657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+E0621 22:18:28.245000 1792299 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 2 (pid: 1792372) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x15364c658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x15365b98b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x15365b0fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x1536646b4d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x1536646b4e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.248000 1909423 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1909423_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:18:28.042089268 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-816]:33230, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x1536633785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x15364c65aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x15364c65c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x15364c65db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x15364c657ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x15364c657ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x15364c658f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x15365b98b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x15365b0fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x1536646b4d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x1536646b4e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.262000 1909423 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1909423_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+[W621 22:18:28.156499407 TCPStore.cpp:115] [c10d] recvVector failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:52786, remote=[fs-mbz-gpu-600]:29500): failed to recv, got 0 bytes
+Exception raised from recvBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:678 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14de53b785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14de3ce5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa0d0 (0x14de3ce5c0d0 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+frame #3: <unknown function> + 0x5baa81d (0x14de3ce5c81d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: <unknown function> + 0x5bab4a9 (0x14de3ce5d4a9 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x1fb (0x14de3ce574cb in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: <unknown function> + 0xc0f919 (0x14de4c18b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+frame #7: <unknown function> + 0x37f17d (0x14de4b8fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #25: <unknown function> + 0x29d90 (0x14de54eb7d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #26: __libc_start_main + 0x80 (0x14de54eb7e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-816
+  rank      : 26 (local_rank: 2)
+  exitcode  : 1 (pid: 1909496)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+[2]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-816
+  rank      : 29 (local_rank: 5)
+  exitcode  : 1 (pid: 1909499)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-816
+  rank      : 25 (local_rank: 1)
+  exitcode  : 1 (pid: 1909495)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+W0621 22:18:28.269000 1792299 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1792299_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
++ set +x
+[W621 22:18:28.168214323 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:52786, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14de53b785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14de3ce5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14de3ce5c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14de3ce5db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x299 (0x14de3ce57569 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: <unknown function> + 0xc0f919 (0x14de4c18b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #6: <unknown function> + 0x37f17d (0x14de4b8fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #24: <unknown function> + 0x29d90 (0x14de54eb7d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #25: __libc_start_main + 0x80 (0x14de54eb7e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.279000 1792299 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1792299_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:18:28.177295614 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-717]:52786, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x14de53b785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x14de3ce5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x14de3ce5c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x14de3ce5db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::compareSet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&, std::vector<unsigned char, std::allocator<unsigned char> > const&) + 0x299 (0x14de3ce57569 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: <unknown function> + 0xc0f919 (0x14de4c18b919 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #6: <unknown function> + 0x37f17d (0x14de4b8fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #24: <unknown function> + 0x29d90 (0x14de54eb7d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #25: __libc_start_main + 0x80 (0x14de54eb7e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:18:28.292000 1792299 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1792299_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:18:27
+  host      : fs-mbz-gpu-717
+  rank      : 18 (local_rank: 2)
+  exitcode  : 1 (pid: 1792372)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=49152
++ PROF_CTX_LENGTH=49152
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L49152*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L49152*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=49152, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 49152 --max-position-embeddings 49152 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 49152 --max-position-embeddings 49152 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 49152 --max-position-embeddings 49152 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 49152 --max-position-embeddings 49152 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:18:32.175000 1794103 site-packages/torch/distributed/run.py:766] 
+W0621 22:18:32.175000 1794103 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:18:32.175000 1794103 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:18:32.175000 1794103 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:18:32.217000 2074912 site-packages/torch/distributed/run.py:766] 
+W0621 22:18:32.217000 2074912 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:18:32.217000 2074912 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:18:32.217000 2074912 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:18:32.224000 810247 site-packages/torch/distributed/run.py:766] 
+W0621 22:18:32.224000 810247 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:18:32.224000 810247 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:18:32.224000 810247 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:18:32.228000 1911230 site-packages/torch/distributed/run.py:766] 
+W0621 22:18:32.228000 1911230 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:18:32.228000 1911230 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:18:32.228000 1911230 site-packages/torch/distributed/run.py:766] *****************************************
+[rank4]:[W621 22:18:55.970257383 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 22:18:55.973238156 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 22:18:55.974067020 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank22]:[W621 22:18:55.570066063 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 22]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 22:18:55.979123802 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 22:18:55.979152745 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 22:18:55.980276526 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 22:18:55.980473065 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank27]:[W621 22:18:55.471555134 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 27]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 22:18:55.864442628 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 22:18:55.864465823 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank31]:[W621 22:18:55.471745797 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 31]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 22:18:55.864570313 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 22:18:55.864572060 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 22:18:55.864574672 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank28]:[W621 22:18:55.471832831 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 28]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 22:18:55.864689787 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank25]:[W621 22:18:55.471845028 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 25]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 22:18:55.865120684 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank26]:[W621 22:18:55.471867594 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 26]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank30]:[W621 22:18:55.471863437 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 30]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank29]:[W621 22:18:55.472250965 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 29]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank20]:[W621 22:18:55.583557035 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 20]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank19]:[W621 22:18:55.584235294 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 19]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank17]:[W621 22:18:55.584245672 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 17]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank23]:[W621 22:18:55.584351342 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 23]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank18]:[W621 22:18:55.584394586 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 18]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank21]:[W621 22:18:55.584433658 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 21]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 22:18:55.954055104 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank16]:[W621 22:18:55.672971054 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 16]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 22:18:55.106029122 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank24]:[W621 22:18:56.803699250 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 24]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank18]: Traceback (most recent call last):
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank18]:     pretrain(
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank18]:     iteration, num_floating_point_operations_so_far = train(
+[rank18]:                                                       ^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank18]:     ) = train_step(
+[rank18]:         ^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank18]:     losses_reduced = forward_backward_func(
+[rank18]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank18]:     output_tensor, num_tokens = forward_step(
+[rank18]:                                 ^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank18]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank18]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank18]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank18]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]: Traceback (most recent call last):
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank5]:     pretrain(
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank5]:     iteration, num_floating_point_operations_so_far = train(
+[rank5]:                                                       ^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank5]:     ) = train_step(
+[rank5]:         ^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank5]:     losses_reduced = forward_backward_func(
+[rank5]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]: Traceback (most recent call last):
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank29]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank29]:     iteration, num_floating_point_operations_so_far = train(
+[rank29]:                                                       ^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank29]:     ) = train_step(
+[rank29]:         ^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank29]:     losses_reduced = forward_backward_func(
+[rank29]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank18]:     batch = next(global_batches)
+[rank18]:             ^^^^^^^^^^^^^^^^^^^^
+[rank18]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank18]:     attention_mask = torch.ones(
+[rank18]:                      ^^^^^^^^^^^
+[rank18]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank5]:     output_tensor, num_tokens = forward_step(
+[rank5]:                                 ^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank5]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank5]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank5]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank5]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank5]:     batch = next(global_batches)
+[rank5]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank29]:     output_tensor, num_tokens = forward_step(
+[rank29]:                                 ^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank29]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank29]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank29]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank29]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]: Traceback (most recent call last):
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank22]:     pretrain(
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank22]:     iteration, num_floating_point_operations_so_far = train(
+[rank22]:                                                       ^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank22]:     ) = train_step(
+[rank22]:         ^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank22]:     losses_reduced = forward_backward_func(
+[rank22]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank5]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank5]:     attention_mask = torch.ones(
+[rank5]:                      ^^^^^^^^^^^
+[rank5]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank6]: Traceback (most recent call last):
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank6]:     pretrain(
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank29]:     batch = next(global_batches)
+[rank29]:             ^^^^^^^^^^^^^^^^^^^^
+[rank29]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank29]:     attention_mask = torch.ones(
+[rank29]:                      ^^^^^^^^^^^
+[rank29]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank22]:     output_tensor, num_tokens = forward_step(
+[rank22]:                                 ^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank6]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:                                                       ^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank6]:     ) = train_step(
+[rank6]:         ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank6]:     losses_reduced = forward_backward_func(
+[rank6]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank6]:     output_tensor, num_tokens = forward_step(
+[rank6]:                                 ^^^^^^^^^^^^^
+[rank22]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank22]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank22]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank22]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank22]:     batch = next(global_batches)
+[rank22]:             ^^^^^^^^^^^^^^^^^^^^
+[rank22]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank22]:     attention_mask = torch.ones(
+[rank22]:                      ^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank22]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank21]: Traceback (most recent call last):
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank21]:     pretrain(
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank21]:     iteration, num_floating_point_operations_so_far = train(
+[rank6]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank6]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank6]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank6]:     batch = next(global_batches)
+[rank6]:             ^^^^^^^^^^^^^^^^^^^^
+[rank6]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank6]:     attention_mask = torch.ones(
+[rank6]:                      ^^^^^^^^^^^
+[rank21]:                                                       ^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank21]:     ) = train_step(
+[rank21]:         ^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank21]:     losses_reduced = forward_backward_func(
+[rank21]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank21]:     output_tensor, num_tokens = forward_step(
+[rank21]:                                 ^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank21]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank6]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]: Traceback (most recent call last):
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank7]:     pretrain(
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank7]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]: Traceback (most recent call last):
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank30]:     pretrain(
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank30]:     iteration, num_floating_point_operations_so_far = train(
+[rank30]:                                                       ^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank30]:     ) = train_step(
+[rank30]:         ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank30]:     losses_reduced = forward_backward_func(
+[rank30]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank21]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank21]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank21]:     batch = next(global_batches)
+[rank21]:             ^^^^^^^^^^^^^^^^^^^^
+[rank21]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank21]:     attention_mask = torch.ones(
+[rank21]:                      ^^^^^^^^^^^
+[rank7]:                                                       ^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank7]:     ) = train_step(
+[rank7]:         ^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank7]:     losses_reduced = forward_backward_func(
+[rank7]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank7]:     output_tensor, num_tokens = forward_step(
+[rank7]:                                 ^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank7]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank30]:     output_tensor, num_tokens = forward_step(
+[rank30]:                                 ^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank30]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank30]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank30]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank30]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank21]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank7]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank7]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank7]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank7]:     batch = next(global_batches)
+[rank7]:             ^^^^^^^^^^^^^^^^^^^^
+[rank7]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank7]:     attention_mask = torch.ones(
+[rank7]:                      ^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank30]:     batch = next(global_batches)
+[rank30]:             ^^^^^^^^^^^^^^^^^^^^
+[rank30]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank30]:     attention_mask = torch.ones(
+[rank30]:                      ^^^^^^^^^^^
+[rank30]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank23]: Traceback (most recent call last):
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank23]:     pretrain(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank23]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:                                                       ^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank23]:     ) = train_step(
+[rank23]:         ^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank23]:     losses_reduced = forward_backward_func(
+[rank23]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank7]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]: Traceback (most recent call last):
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank2]:     pretrain(
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank2]:     iteration, num_floating_point_operations_so_far = train(
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank23]:     output_tensor, num_tokens = forward_step(
+[rank23]:                                 ^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank23]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank23]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank23]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:                                                       ^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank2]:     ) = train_step(
+[rank2]:         ^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank2]:     losses_reduced = forward_backward_func(
+[rank2]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank2]:     output_tensor, num_tokens = forward_step(
+[rank2]:                                 ^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank2]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank23]:     batch = next(global_batches)
+[rank23]:             ^^^^^^^^^^^^^^^^^^^^
+[rank23]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank23]:     attention_mask = torch.ones(
+[rank23]:                      ^^^^^^^^^^^
+[rank23]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank2]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank2]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank2]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank2]:     batch = next(global_batches)
+[rank2]:             ^^^^^^^^^^^^^^^^^^^^
+[rank2]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank2]:     attention_mask = torch.ones(
+[rank2]:                      ^^^^^^^^^^^
+[rank19]: Traceback (most recent call last):
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank19]:     pretrain(
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank19]:     iteration, num_floating_point_operations_so_far = train(
+[rank19]:                                                       ^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank19]:     ) = train_step(
+[rank19]:         ^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank19]:     losses_reduced = forward_backward_func(
+[rank19]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank2]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]: Traceback (most recent call last):
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank1]:     pretrain(
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank1]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]: Traceback (most recent call last):
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank28]:     pretrain(
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank28]:     iteration, num_floating_point_operations_so_far = train(
+[rank28]:                                                       ^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank28]:     ) = train_step(
+[rank28]:         ^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:     losses_reduced = forward_backward_func(
+[rank28]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank19]:     output_tensor, num_tokens = forward_step(
+[rank19]:                                 ^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank19]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank19]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank19]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank19]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:                                                       ^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank1]:     ) = train_step(
+[rank1]:         ^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank28]:     output_tensor, num_tokens = forward_step(
+[rank28]:                                 ^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank28]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank28]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank28]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank28]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank19]:     batch = next(global_batches)
+[rank19]:             ^^^^^^^^^^^^^^^^^^^^
+[rank19]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank19]:     attention_mask = torch.ones(
+[rank19]:                      ^^^^^^^^^^^
+[rank19]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank1]:     losses_reduced = forward_backward_func(
+[rank1]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank1]:     output_tensor, num_tokens = forward_step(
+[rank1]:                                 ^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank1]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank1]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank1]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank1]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank28]:     batch = next(global_batches)
+[rank28]:             ^^^^^^^^^^^^^^^^^^^^
+[rank28]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank28]:     attention_mask = torch.ones(
+[rank28]:                      ^^^^^^^^^^^
+[rank28]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]: Traceback (most recent call last):
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank17]:     pretrain(
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank17]:     iteration, num_floating_point_operations_so_far = train(
+[rank17]:                                                       ^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank17]:     ) = train_step(
+[rank17]:         ^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank17]:     losses_reduced = forward_backward_func(
+[rank17]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank1]:     batch = next(global_batches)
+[rank1]:             ^^^^^^^^^^^^^^^^^^^^
+[rank1]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank1]:     attention_mask = torch.ones(
+[rank1]:                      ^^^^^^^^^^^
+[rank1]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:     output_tensor, num_tokens = forward_step(
+[rank17]:                                 ^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank17]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank17]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank17]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank17]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank3]:     pretrain(
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank3]:     iteration, num_floating_point_operations_so_far = train(
+[rank3]:                                                       ^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank3]:     ) = train_step(
+[rank3]:         ^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank3]:     losses_reduced = forward_backward_func(
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank17]:     batch = next(global_batches)
+[rank17]:             ^^^^^^^^^^^^^^^^^^^^
+[rank17]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank17]:     attention_mask = torch.ones(
+[rank17]:                      ^^^^^^^^^^^
+[rank17]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank3]:     output_tensor, num_tokens = forward_step(
+[rank3]:                                 ^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank3]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank3]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank3]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank3]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank3]:     batch = next(global_batches)
+[rank3]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]: Traceback (most recent call last):
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank16]:     pretrain(
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank16]:     iteration, num_floating_point_operations_so_far = train(
+[rank16]:                                                       ^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank16]:     ) = train_step(
+[rank16]:         ^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank16]:     losses_reduced = forward_backward_func(
+[rank16]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank3]:     attention_mask = torch.ones(
+[rank3]:                      ^^^^^^^^^^^
+[rank3]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:     output_tensor, num_tokens = forward_step(
+[rank16]:                                 ^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank16]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank16]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank16]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank16]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]: Traceback (most recent call last):
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank4]:     pretrain(
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank4]:     iteration, num_floating_point_operations_so_far = train(
+[rank4]:                                                       ^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank4]:     ) = train_step(
+[rank4]:         ^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank4]:     losses_reduced = forward_backward_func(
+[rank4]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank16]:     batch = next(global_batches)
+[rank16]:             ^^^^^^^^^^^^^^^^^^^^
+[rank16]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank16]:     attention_mask = torch.ones(
+[rank16]:                      ^^^^^^^^^^^
+[rank16]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank4]:     output_tensor, num_tokens = forward_step(
+[rank4]:                                 ^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank4]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank4]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank4]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank4]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank4]:     batch = next(global_batches)
+[rank4]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]: Traceback (most recent call last):
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank20]:     pretrain(
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank20]:     iteration, num_floating_point_operations_so_far = train(
+[rank20]:                                                       ^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank20]:     ) = train_step(
+[rank20]:         ^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank20]:     losses_reduced = forward_backward_func(
+[rank20]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank4]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank4]:     attention_mask = torch.ones(
+[rank4]:                      ^^^^^^^^^^^
+[rank4]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank25]: Traceback (most recent call last):
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank25]:     pretrain(
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank25]:     iteration, num_floating_point_operations_so_far = train(
+[rank25]:                                                       ^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank25]:     ) = train_step(
+[rank25]:         ^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank25]:     losses_reduced = forward_backward_func(
+[rank25]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank20]:     output_tensor, num_tokens = forward_step(
+[rank20]:                                 ^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank20]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank20]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank20]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank20]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank0]:     iteration, num_floating_point_operations_so_far = train(
+[rank0]:                                                       ^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank0]:     ) = train_step(
+[rank0]:         ^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank0]:     losses_reduced = forward_backward_func(
+[rank0]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank25]:     output_tensor, num_tokens = forward_step(
+[rank25]:                                 ^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank25]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank25]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank25]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank25]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank20]:     batch = next(global_batches)
+[rank20]:             ^^^^^^^^^^^^^^^^^^^^
+[rank20]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank20]:     attention_mask = torch.ones(
+[rank20]:                      ^^^^^^^^^^^
+[rank20]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]: Traceback (most recent call last):
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank9]:     pretrain(
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank9]:     iteration, num_floating_point_operations_so_far = train(
+[rank9]:                                                       ^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank9]:     ) = train_step(
+[rank9]:         ^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank9]:     losses_reduced = forward_backward_func(
+[rank9]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank0]:     output_tensor, num_tokens = forward_step(
+[rank0]:                                 ^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank0]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank0]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank0]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank0]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank0]:     batch = next(global_batches)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank25]:     batch = next(global_batches)
+[rank25]:             ^^^^^^^^^^^^^^^^^^^^
+[rank25]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank25]:     attention_mask = torch.ones(
+[rank25]:                      ^^^^^^^^^^^
+[rank25]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank9]:     output_tensor, num_tokens = forward_step(
+[rank9]:                                 ^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank9]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank9]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank9]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank9]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank9]:     batch = next(global_batches)
+[rank9]:             ^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank0]:     attention_mask = torch.ones(
+[rank0]:                      ^^^^^^^^^^^
+[rank0]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]: Traceback (most recent call last):
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank26]:     pretrain(
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank26]:     iteration, num_floating_point_operations_so_far = train(
+[rank26]:                                                       ^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank26]:     ) = train_step(
+[rank26]:         ^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank26]:     losses_reduced = forward_backward_func(
+[rank26]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank9]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank9]:     attention_mask = torch.ones(
+[rank9]:                      ^^^^^^^^^^^
+[rank9]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 1 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank26]:     output_tensor, num_tokens = forward_step(
+[rank26]:                                 ^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank26]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank26]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank26]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank26]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]: Traceback (most recent call last):
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank14]:     pretrain(
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank14]:     iteration, num_floating_point_operations_so_far = train(
+[rank14]:                                                       ^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank14]:     ) = train_step(
+[rank14]:         ^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank14]:     losses_reduced = forward_backward_func(
+[rank14]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank26]:     batch = next(global_batches)
+[rank26]:             ^^^^^^^^^^^^^^^^^^^^
+[rank26]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank26]:     attention_mask = torch.ones(
+[rank26]:                      ^^^^^^^^^^^
+[rank26]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank14]:     output_tensor, num_tokens = forward_step(
+[rank14]:                                 ^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank14]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank14]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank14]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank14]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]: Traceback (most recent call last):
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank24]:     pretrain(
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank24]:     iteration, num_floating_point_operations_so_far = train(
+[rank24]:                                                       ^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank24]:     ) = train_step(
+[rank24]:         ^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank24]:     losses_reduced = forward_backward_func(
+[rank24]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank14]:     batch = next(global_batches)
+[rank14]:             ^^^^^^^^^^^^^^^^^^^^
+[rank14]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank14]:     attention_mask = torch.ones(
+[rank14]:                      ^^^^^^^^^^^
+[rank14]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 6 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank24]:     output_tensor, num_tokens = forward_step(
+[rank24]:                                 ^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank24]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank24]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank24]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank24]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]: Traceback (most recent call last):
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank13]:     pretrain(
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank13]:     iteration, num_floating_point_operations_so_far = train(
+[rank13]:                                                       ^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank13]:     ) = train_step(
+[rank13]:         ^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank13]:     losses_reduced = forward_backward_func(
+[rank13]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank24]:     batch = next(global_batches)
+[rank24]:             ^^^^^^^^^^^^^^^^^^^^
+[rank24]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank24]:     attention_mask = torch.ones(
+[rank24]:                      ^^^^^^^^^^^
+[rank24]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank13]:     output_tensor, num_tokens = forward_step(
+[rank13]:                                 ^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank13]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank13]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank13]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank13]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]: Traceback (most recent call last):
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank27]:     pretrain(
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank27]:     iteration, num_floating_point_operations_so_far = train(
+[rank27]:                                                       ^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank27]:     ) = train_step(
+[rank27]:         ^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank27]:     losses_reduced = forward_backward_func(
+[rank27]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank13]:     batch = next(global_batches)
+[rank13]:             ^^^^^^^^^^^^^^^^^^^^
+[rank13]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank13]:     attention_mask = torch.ones(
+[rank13]:                      ^^^^^^^^^^^
+[rank13]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 5 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank27]:     output_tensor, num_tokens = forward_step(
+[rank27]:                                 ^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank27]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank27]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank27]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank27]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]: Traceback (most recent call last):
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank10]:     pretrain(
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank10]:     iteration, num_floating_point_operations_so_far = train(
+[rank10]:                                                       ^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank10]:     ) = train_step(
+[rank10]:         ^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank10]:     losses_reduced = forward_backward_func(
+[rank10]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank27]:     batch = next(global_batches)
+[rank27]:             ^^^^^^^^^^^^^^^^^^^^
+[rank27]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank27]:     attention_mask = torch.ones(
+[rank27]:                      ^^^^^^^^^^^
+[rank27]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank10]:     output_tensor, num_tokens = forward_step(
+[rank10]:                                 ^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank10]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank10]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank10]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank10]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank10]:     batch = next(global_batches)
+[rank10]:             ^^^^^^^^^^^^^^^^^^^^
+[rank10]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank10]:     attention_mask = torch.ones(
+[rank10]:                      ^^^^^^^^^^^
+[rank10]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 2 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank15]: Traceback (most recent call last):
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank15]:     pretrain(
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank15]:     iteration, num_floating_point_operations_so_far = train(
+[rank15]:                                                       ^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank15]:     ) = train_step(
+[rank15]:         ^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank15]:     losses_reduced = forward_backward_func(
+[rank15]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank31]: Traceback (most recent call last):
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank31]:     pretrain(
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank31]:     iteration, num_floating_point_operations_so_far = train(
+[rank31]:                                                       ^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank31]:     ) = train_step(
+[rank31]:         ^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank31]:     losses_reduced = forward_backward_func(
+[rank31]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank15]:     output_tensor, num_tokens = forward_step(
+[rank15]:                                 ^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank15]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank15]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank15]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank15]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank31]:     output_tensor, num_tokens = forward_step(
+[rank31]:                                 ^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank31]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank31]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank31]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank31]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank15]:     batch = next(global_batches)
+[rank15]:             ^^^^^^^^^^^^^^^^^^^^
+[rank15]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank15]:     attention_mask = torch.ones(
+[rank15]:                      ^^^^^^^^^^^
+[rank15]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank31]:     batch = next(global_batches)
+[rank31]:             ^^^^^^^^^^^^^^^^^^^^
+[rank31]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank31]:     attention_mask = torch.ones(
+[rank31]:                      ^^^^^^^^^^^
+[rank31]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 7 has a total capacity of 139.81 GiB of which 135.60 GiB is free. Including non-PyTorch memory, this process has 4.21 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank11]: Traceback (most recent call last):
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank11]:     pretrain(
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank11]:     iteration, num_floating_point_operations_so_far = train(
+[rank11]:                                                       ^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank11]:     ) = train_step(
+[rank11]:         ^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank11]:     losses_reduced = forward_backward_func(
+[rank11]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank11]:     output_tensor, num_tokens = forward_step(
+[rank11]:                                 ^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank11]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank11]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank11]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank11]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank11]:     batch = next(global_batches)
+[rank11]:             ^^^^^^^^^^^^^^^^^^^^
+[rank11]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank11]:     attention_mask = torch.ones(
+[rank11]:                      ^^^^^^^^^^^
+[rank11]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 3 has a total capacity of 139.81 GiB of which 135.58 GiB is free. Including non-PyTorch memory, this process has 4.22 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank12]: Traceback (most recent call last):
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank12]:     pretrain(
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank12]:     iteration, num_floating_point_operations_so_far = train(
+[rank12]:                                                       ^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank12]:     ) = train_step(
+[rank12]:         ^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank12]:     losses_reduced = forward_backward_func(
+[rank12]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank12]:     output_tensor, num_tokens = forward_step(
+[rank12]:                                 ^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank12]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank12]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank12]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank12]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank12]:     batch = next(global_batches)
+[rank12]:             ^^^^^^^^^^^^^^^^^^^^
+[rank12]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank12]:     attention_mask = torch.ones(
+[rank12]:                      ^^^^^^^^^^^
+[rank12]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 4 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank8]: Traceback (most recent call last):
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank8]:     pretrain(
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 863, in pretrain
+[rank8]:     iteration, num_floating_point_operations_so_far = train(
+[rank8]:                                                       ^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 2229, in train
+[rank8]:     ) = train_step(
+[rank8]:         ^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 1382, in train_step
+[rank8]:     losses_reduced = forward_backward_func(
+[rank8]:                      ^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 518, in forward_backward_no_pipelining
+[rank8]:     output_tensor, num_tokens = forward_step(
+[rank8]:                                 ^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/pipeline_parallel/schedules.py", line 289, in forward_step
+[rank8]:     output_tensor, loss_func = forward_step_func(data_iterator, model)
+[rank8]:                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 446, in forward_step
+[rank8]:     (tokens, labels, loss_mask, attention_mask, position_ids), token_lens = get_batch(data_iterator)
+[rank8]:                                                                             ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 284, in get_batch
+[rank8]:     batch = next(global_batches)
+[rank8]:             ^^^^^^^^^^^^^^^^^^^^
+[rank8]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 226, in setup_batches
+[rank8]:     attention_mask = torch.ones(
+[rank8]:                      ^^^^^^^^^^^
+[rank8]: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1152.00 GiB. GPU 0 has a total capacity of 139.81 GiB of which 135.56 GiB is free. Including non-PyTorch memory, this process has 4.24 GiB memory in use. Of the allocated memory 2.60 GiB is allocated by PyTorch, and 106.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+[rank30]:[W621 22:19:07.415281421 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank19]:[W621 22:19:07.524653037 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank17]:[W621 22:19:07.536856307 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 22:19:07.960686607 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 22:19:07.858803642 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 22:19:07.858804099 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank25]:[W621 22:19:07.483445616 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank29]:[W621 22:19:07.483547945 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 22:19:07.914074985 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank23]:[W621 22:19:07.635474445 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank27]:[W621 22:19:07.531649450 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 22:19:07.924092936 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 22:19:07.045582827 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank31]:[W621 22:19:07.541684753 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 22:19:07.056571549 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 22:19:07.064793548 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 22:19:07.083398441 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank21]:[W621 22:19:07.688804969 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 22:19:07.977500448 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 22:19:07.977557304 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank22]:[W621 22:19:07.701451510 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 22:19:07.159537933 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank18]:[W621 22:19:07.802692926 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank26]:[W621 22:19:08.930719896 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+W0621 22:19:08.748000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794175 closing signal SIGTERM
+W0621 22:19:08.750000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794176 closing signal SIGTERM
+W0621 22:19:08.752000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794177 closing signal SIGTERM
+W0621 22:19:08.752000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794179 closing signal SIGTERM
+W0621 22:19:08.754000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794180 closing signal SIGTERM
+W0621 22:19:08.755000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794181 closing signal SIGTERM
+W0621 22:19:08.755000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1794182 closing signal SIGTERM
+W0621 22:19:08.844000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810319 closing signal SIGTERM
+W0621 22:19:08.846000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810321 closing signal SIGTERM
+W0621 22:19:08.848000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810323 closing signal SIGTERM
+W0621 22:19:08.851000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810324 closing signal SIGTERM
+W0621 22:19:08.851000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810325 closing signal SIGTERM
+W0621 22:19:08.852000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 810326 closing signal SIGTERM
+W0621 22:19:09.022000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074982 closing signal SIGTERM
+W0621 22:19:09.025000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074983 closing signal SIGTERM
+W0621 22:19:09.026000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074984 closing signal SIGTERM
+W0621 22:19:09.026000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074985 closing signal SIGTERM
+W0621 22:19:09.026000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074986 closing signal SIGTERM
+W0621 22:19:09.029000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074987 closing signal SIGTERM
+W0621 22:19:09.029000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2074989 closing signal SIGTERM
+W0621 22:19:09.052000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911301 closing signal SIGTERM
+W0621 22:19:09.054000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911302 closing signal SIGTERM
+W0621 22:19:09.055000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911303 closing signal SIGTERM
+W0621 22:19:09.055000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911305 closing signal SIGTERM
+W0621 22:19:09.056000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911306 closing signal SIGTERM
+W0621 22:19:09.057000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911307 closing signal SIGTERM
+W0621 22:19:09.058000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1911308 closing signal SIGTERM
+E0621 22:19:09.180000 810247 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 1 (pid: 810320) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2025-06-21_22:19:08
+  host      : fs-mbz-gpu-600
+  rank      : 3 (local_rank: 3)
+  exitcode  : 1 (pid: 810322)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:19:08
+  host      : fs-mbz-gpu-600
+  rank      : 1 (local_rank: 1)
+  exitcode  : 1 (pid: 810320)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:19:09.323000 1794103 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 3 (pid: 1794178) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:19:08
+  host      : fs-mbz-gpu-717
+  rank      : 19 (local_rank: 3)
+  exitcode  : 1 (pid: 1794178)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+E0621 22:19:09.467000 1911230 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 3 (pid: 1911304) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:19:09.481000 1911230 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1911230_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:19:09.276478854 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-816]:36382, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x153a073785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x1539f025aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x1539f025c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x1539f025db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x1539f0257ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x1539f0257ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x1539f0258f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x1539ff58b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x1539fecfb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x153a0835dd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x153a0835de40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:19:09.495000 1911230 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1911230_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:19:09.289296002 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-816]:36382, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x153a073785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x1539f025aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x1539f025c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x1539f025db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x1539f0257ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x1539f0257ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x1539f0258f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x1539ff58b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x1539fecfb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x153a0835dd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x153a0835de40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:19:09.507000 1911230 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-816_1911230_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:19:09
+  host      : fs-mbz-gpu-816
+  rank      : 27 (local_rank: 3)
+  exitcode  : 1 (pid: 1911304)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
+E0621 22:19:09.658000 2074912 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 6 (pid: 2074988) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+W0621 22:19:09.671000 2074912 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2074912_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:19:09.857991217 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:37708, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x15383cf785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x15382625aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x15382625c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x15382625db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x153826257ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x153826257ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x153826258f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x15383558b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x153834cfb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x15383e27bd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x15383e27be40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:19:09.683000 2074912 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2074912_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+[W621 22:19:09.869210310 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=4, addr=[fs-mbz-gpu-702]:37708, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x15383cf785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x15382625aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x15382625c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x15382625db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x153826257ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x153826257ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x153826258f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x15383558b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x153834cfb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x15383e27bd90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x15383e27be40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 22:19:09.693000 2074912 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-702_2074912_0' has failed to shutdown the rendezvous '343216' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_22:19:09
+  host      : fs-mbz-gpu-702
+  rank      : 14 (local_rank: 6)
+  exitcode  : 1 (pid: 2074988)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=65536
++ PROF_CTX_LENGTH=65536
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L65536*tp4.cp8.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L65536*tp4.cp8.bs8.json' ']'
++ echo 'Running ctx_length=65536, TP_SIZE=4, CP_SIZE=8, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 2 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 65536 --max-position-embeddings 65536 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 0 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 65536 --max-position-embeddings 65536 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 3 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 65536 --max-position-embeddings 65536 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 4 --node_rank 1 --rdzv_id 343216 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 4 --context-parallel-size 8 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 65536 --max-position-embeddings 65536 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:19:13.614000 1913055 site-packages/torch/distributed/run.py:766] 
+W0621 22:19:13.614000 1913055 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:19:13.614000 1913055 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:19:13.614000 1913055 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:19:13.622000 2076718 site-packages/torch/distributed/run.py:766] 
+W0621 22:19:13.622000 2076718 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:19:13.622000 2076718 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:19:13.622000 2076718 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:19:13.631000 812125 site-packages/torch/distributed/run.py:766] 
+W0621 22:19:13.631000 812125 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:19:13.631000 812125 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:19:13.631000 812125 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 22:19:13.684000 1795926 site-packages/torch/distributed/run.py:766] 
+W0621 22:19:13.684000 1795926 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 22:19:13.684000 1795926 site-packages/torch/distributed/run.py:766] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0621 22:19:13.684000 1795926 site-packages/torch/distributed/run.py:766] *****************************************