File size: 181,590 Bytes
d08d780 |
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 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 |
nohup: ignoring input
=====================================
ProDiff 训练模型测试启动
=====================================
实验名称: trajectory_a40_turbo_optimized
GPU设备: 0
采样类型: ddim
测试Epoch: 50
模型路径: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850
日志文件: ./test_logs/test_trajectory_a40_turbo_optimized_epoch50_20250730_161237.log
启动时间: Wed Jul 30 16:12:37 UTC 2025
=====================================
检查GPU状态...
Wed Jul 30 16:12:37 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 565.57.01 Driver Version: 565.57.01 CUDA Version: 12.7 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA A40 On | 00000000:53:00.0 Off | 0 |
| 0% 45C P0 59W / 300W | 1MiB / 46068MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
开始模型测试...
Running on device: cuda:0
[1042520][25-07-30 16:12:39.505 @ main] INFO: Experiment directory: /root/ProDiff/Experiments/trajectory_a40_turbo_optimized_test_TKY_temporal_len32_ddim_20250730-161239
[1042520][25-07-30 16:12:39.505 @ log_info] INFO: ***********************************
[1042520][25-07-30 16:12:39.505 @ log_info] INFO: Dataset: TKY_temporal
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Trajectory Length: 32
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Guidance scale: 2
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Number of steps: 500
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_schedule: linear
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_strat: 0.0001
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Beta_end: 0.05
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: Epochs: 50
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: batch_size: 2560
[1042520][25-07-30 16:12:39.506 @ log_info] INFO: ***********************************
[1042520][25-07-30 16:12:39.506 @ main] INFO: Using sampling type for periodic validation: ddim
[1042520][25-07-30 16:12:39.506 @ main] INFO: DDIM Steps for validation: 50, Eta for validation: 0.0
[1042520][25-07-30 16:12:39.506 @ main] INFO: Starting model testing...
[1042520][25-07-30 16:12:39.506 @ main] INFO: Loading model from: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850
[1042520][25-07-30 16:12:39.507 @ main] INFO: Using epoch: 50
Loading files: 0%| | 0/1 [00:00<?, ?file/s]
Loading files: 100%|██████████| 1/1 [00:00<00:00, 8.22file/s]
Loading files: 100%|██████████| 1/1 [00:00<00:00, 8.21file/s]
[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading diffusion model from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/diffusion_model_epoch_50.pt
[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading transformer model from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/transformer_epoch_50.pt
[1042520][25-07-30 16:12:39.983 @ main] INFO: Loading prototypes from: Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/models/20250730-093850/prototypes_transformer_epoch_50.npy
[1042520][25-07-30 16:12:40.122 @ test_model] INFO: Testing with sampling_type: ddim for epoch 50
[1042520][25-07-30 16:12:40.122 @ test_model] INFO: DDIM steps: 50, DDIM eta: 0.0
Epoch 50 Test Progress (DDIM): 0%| | 0/113 [00:00<?, ?it/s][1042520][25-07-30 16:12:40.321 @ test_model] INFO: Batch 0 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:12:40.322 @ test_model] INFO: Input data stats - abs_time: min=1748102400.0000, max=1748421248.0000, lat: min=39.9172, max=39.9414, lng: min=116.4960, max=116.5279
[1042520][25-07-30 16:12:40.389 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:12:40.566 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:12:40.567 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:12:45.043 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0333, max=0.9136
[1042520][25-07-30 16:12:45.044 @ test_model] WARNING: Batch 0 - Values outside [0,1] in pred_x0_scaled: min=-0.0333, max=0.9136. Clamping.
[1042520][25-07-30 16:12:45.046 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:12:45.046 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748478720.0000
[1042520][25-07-30 16:12:45.046 @ test_model] INFO: ground_truth_np stats: min=39.9172, max=1748421248.0000
Epoch 50 Test Progress (DDIM): 1%| | 1/113 [00:06<11:43, 6.28s/it][1042520][25-07-30 16:12:46.407 @ test_model] INFO: Batch 1 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:12:46.408 @ test_model] INFO: Input data stats - abs_time: min=1748419456.0000, max=1748533120.0000, lat: min=39.9222, max=39.9412, lng: min=116.4961, max=116.5275
[1042520][25-07-30 16:12:46.409 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:12:46.440 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:12:46.440 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:12:50.668 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0477, max=0.9639
[1042520][25-07-30 16:12:50.670 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:12:50.670 @ test_model] INFO: pred_x0_np stats: min=39.9205, max=1748609792.0000
[1042520][25-07-30 16:12:50.670 @ test_model] INFO: ground_truth_np stats: min=39.9222, max=1748533120.0000
Epoch 50 Test Progress (DDIM): 2%|▏ | 2/113 [00:11<10:54, 5.89s/it][1042520][25-07-30 16:12:52.026 @ test_model] INFO: Batch 2 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:12:52.026 @ test_model] INFO: Input data stats - abs_time: min=1748531328.0000, max=1748713344.0000, lat: min=39.9170, max=39.9413, lng: min=116.4958, max=116.5278
[1042520][25-07-30 16:12:52.028 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:12:52.059 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:12:52.059 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:12:56.281 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0214, max=1.0350
[1042520][25-07-30 16:12:56.282 @ test_model] WARNING: Batch 2 - Values outside [0,1] in pred_x0_scaled: min=-0.0214, max=1.0350. Clamping.
[1042520][25-07-30 16:12:56.283 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:12:56.283 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:12:56.283 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748713344.0000
Epoch 50 Test Progress (DDIM): 3%|▎ | 3/113 [00:17<10:34, 5.77s/it][1042520][25-07-30 16:12:57.640 @ test_model] INFO: Batch 3 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:12:57.640 @ test_model] INFO: Input data stats - abs_time: min=1748084352.0000, max=1748714368.0000, lat: min=39.9163, max=39.9396, lng: min=116.4914, max=116.5272
[1042520][25-07-30 16:12:57.642 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:12:57.673 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:12:57.673 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:01.898 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0360, max=1.0366
[1042520][25-07-30 16:13:01.898 @ test_model] WARNING: Batch 3 - Values outside [0,1] in pred_x0_scaled: min=-0.0360, max=1.0366. Clamping.
[1042520][25-07-30 16:13:01.899 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:01.899 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:13:01.900 @ test_model] INFO: ground_truth_np stats: min=39.9163, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 4%|▎ | 4/113 [00:23<10:22, 5.71s/it][1042520][25-07-30 16:13:03.261 @ test_model] INFO: Batch 4 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:03.261 @ test_model] INFO: Input data stats - abs_time: min=1748195200.0000, max=1748532096.0000, lat: min=39.9189, max=39.9395, lng: min=116.4965, max=116.5297
[1042520][25-07-30 16:13:03.263 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:03.294 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:03.294 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:07.519 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0140, max=0.9640
[1042520][25-07-30 16:13:07.520 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:07.521 @ test_model] INFO: pred_x0_np stats: min=39.9171, max=1748610176.0000
[1042520][25-07-30 16:13:07.521 @ test_model] INFO: ground_truth_np stats: min=39.9189, max=1748532096.0000
Epoch 50 Test Progress (DDIM): 4%|▍ | 5/113 [00:28<10:12, 5.67s/it][1042520][25-07-30 16:13:08.877 @ test_model] INFO: Batch 5 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:08.877 @ test_model] INFO: Input data stats - abs_time: min=1748512768.0000, max=1748714368.0000, lat: min=39.9193, max=39.9403, lng: min=116.5040, max=116.5296
[1042520][25-07-30 16:13:08.879 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:08.910 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:08.910 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:13.136 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0387, max=1.0340
[1042520][25-07-30 16:13:13.136 @ test_model] WARNING: Batch 5 - Values outside [0,1] in pred_x0_scaled: min=0.0387, max=1.0340. Clamping.
[1042520][25-07-30 16:13:13.137 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:13.137 @ test_model] INFO: pred_x0_np stats: min=39.9186, max=1748703744.0000
[1042520][25-07-30 16:13:13.137 @ test_model] INFO: ground_truth_np stats: min=39.9193, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 5%|▌ | 6/113 [00:34<10:05, 5.66s/it][1042520][25-07-30 16:13:14.499 @ test_model] INFO: Batch 6 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:14.500 @ test_model] INFO: Input data stats - abs_time: min=1748597120.0000, max=1748710784.0000, lat: min=39.9233, max=39.9396, lng: min=116.5093, max=116.5275
[1042520][25-07-30 16:13:14.501 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:14.532 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:14.532 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:18.757 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0350, max=1.0338
[1042520][25-07-30 16:13:18.757 @ test_model] WARNING: Batch 6 - Values outside [0,1] in pred_x0_scaled: min=0.0350, max=1.0338. Clamping.
[1042520][25-07-30 16:13:18.758 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:18.759 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
[1042520][25-07-30 16:13:18.759 @ test_model] INFO: ground_truth_np stats: min=39.9233, max=1748710784.0000
Epoch 50 Test Progress (DDIM): 6%|▌ | 7/113 [00:39<09:58, 5.64s/it][1042520][25-07-30 16:13:20.114 @ test_model] INFO: Batch 7 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:20.115 @ test_model] INFO: Input data stats - abs_time: min=1747918848.0000, max=1748714368.0000, lat: min=39.9180, max=40.0091, lng: min=116.4944, max=116.5750
[1042520][25-07-30 16:13:20.117 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:20.148 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:20.148 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:24.379 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-1279.9060, max=1558.4124
[1042520][25-07-30 16:13:24.379 @ test_model] WARNING: Batch 7 - Values outside [0,1] in pred_x0_scaled: min=-1279.9060, max=1558.4124. Clamping.
[1042520][25-07-30 16:13:24.380 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:24.380 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:13:24.380 @ test_model] INFO: ground_truth_np stats: min=39.9180, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 7%|▋ | 8/113 [00:45<09:51, 5.64s/it][1042520][25-07-30 16:13:25.738 @ test_model] INFO: Batch 8 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:25.738 @ test_model] INFO: Input data stats - abs_time: min=1748181888.0000, max=1748450304.0000, lat: min=39.9170, max=40.0091, lng: min=116.4915, max=116.5719
[1042520][25-07-30 16:13:25.740 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:25.771 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:25.771 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:30.001 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-10.4921, max=9.1439
[1042520][25-07-30 16:13:30.002 @ test_model] WARNING: Batch 8 - Values outside [0,1] in pred_x0_scaled: min=-10.4921, max=9.1439. Clamping.
[1042520][25-07-30 16:13:30.004 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:30.004 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:13:30.004 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748450304.0000
Epoch 50 Test Progress (DDIM): 8%|▊ | 9/113 [00:51<09:54, 5.72s/it][1042520][25-07-30 16:13:31.634 @ test_model] INFO: Batch 9 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:31.635 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9162, max=39.9410, lng: min=116.4992, max=116.5477
[1042520][25-07-30 16:13:31.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:31.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:31.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:35.908 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0000, max=1.0391
[1042520][25-07-30 16:13:35.909 @ test_model] WARNING: Batch 9 - Values outside [0,1] in pred_x0_scaled: min=0.0000, max=1.0391. Clamping.
[1042520][25-07-30 16:13:35.910 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:35.911 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:13:35.911 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 9%|▉ | 10/113 [00:57<09:46, 5.70s/it][1042520][25-07-30 16:13:37.281 @ test_model] INFO: Batch 10 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:37.282 @ test_model] INFO: Input data stats - abs_time: min=1748195072.0000, max=1748427520.0000, lat: min=39.9230, max=39.9397, lng: min=116.5020, max=116.5273
[1042520][25-07-30 16:13:37.284 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:37.315 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:37.316 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:41.546 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0799, max=0.9233
[1042520][25-07-30 16:13:41.548 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:41.549 @ test_model] INFO: pred_x0_np stats: min=39.9212, max=1748504064.0000
[1042520][25-07-30 16:13:41.549 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748427520.0000
Epoch 50 Test Progress (DDIM): 10%|▉ | 11/113 [01:03<09:46, 5.75s/it][1042520][25-07-30 16:13:43.147 @ test_model] INFO: Batch 11 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:43.147 @ test_model] INFO: Input data stats - abs_time: min=1748425728.0000, max=1748539264.0000, lat: min=39.9200, max=39.9399, lng: min=116.4943, max=116.5274
[1042520][25-07-30 16:13:43.149 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:43.180 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:43.181 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:47.456 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0063, max=0.9693
[1042520][25-07-30 16:13:47.460 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:47.460 @ test_model] INFO: pred_x0_np stats: min=39.9167, max=1748623872.0000
[1042520][25-07-30 16:13:47.460 @ test_model] INFO: ground_truth_np stats: min=39.9200, max=1748539264.0000
Epoch 50 Test Progress (DDIM): 11%|█ | 12/113 [01:08<09:38, 5.72s/it][1042520][25-07-30 16:13:48.820 @ test_model] INFO: Batch 12 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:48.821 @ test_model] INFO: Input data stats - abs_time: min=1748537472.0000, max=1748701568.0000, lat: min=39.9230, max=39.9405, lng: min=116.5018, max=116.5275
[1042520][25-07-30 16:13:48.824 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:48.856 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:48.856 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:53.084 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0818, max=1.0311
[1042520][25-07-30 16:13:53.085 @ test_model] WARNING: Batch 12 - Values outside [0,1] in pred_x0_scaled: min=0.0818, max=1.0311. Clamping.
[1042520][25-07-30 16:13:53.086 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:53.086 @ test_model] INFO: pred_x0_np stats: min=39.9211, max=1748703744.0000
[1042520][25-07-30 16:13:53.086 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748701568.0000
Epoch 50 Test Progress (DDIM): 12%|█▏ | 13/113 [01:14<09:33, 5.73s/it][1042520][25-07-30 16:13:54.561 @ test_model] INFO: Batch 13 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:13:54.562 @ test_model] INFO: Input data stats - abs_time: min=1747659648.0000, max=1748714368.0000, lat: min=39.9230, max=39.9398, lng: min=116.5020, max=116.5276
[1042520][25-07-30 16:13:54.564 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:13:54.595 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:13:54.595 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:13:58.857 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1019, max=1.0390
[1042520][25-07-30 16:13:58.858 @ test_model] WARNING: Batch 13 - Values outside [0,1] in pred_x0_scaled: min=0.1019, max=1.0390. Clamping.
[1042520][25-07-30 16:13:58.859 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:13:58.859 @ test_model] INFO: pred_x0_np stats: min=39.9223, max=1748703744.0000
[1042520][25-07-30 16:13:58.859 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 12%|█▏ | 14/113 [01:20<09:24, 5.71s/it][1042520][25-07-30 16:14:00.208 @ test_model] INFO: Batch 14 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:00.209 @ test_model] INFO: Input data stats - abs_time: min=1747758720.0000, max=1748368768.0000, lat: min=39.9246, max=39.9397, lng: min=116.5017, max=116.5271
[1042520][25-07-30 16:14:00.210 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:00.241 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:00.241 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:04.467 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0762, max=0.9049
[1042520][25-07-30 16:14:04.469 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:04.469 @ test_model] INFO: pred_x0_np stats: min=39.9219, max=1748456192.0000
[1042520][25-07-30 16:14:04.469 @ test_model] INFO: ground_truth_np stats: min=39.9246, max=1748368768.0000
Epoch 50 Test Progress (DDIM): 13%|█▎ | 15/113 [01:25<09:16, 5.68s/it][1042520][25-07-30 16:14:05.820 @ test_model] INFO: Batch 15 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:05.821 @ test_model] INFO: Input data stats - abs_time: min=1748189184.0000, max=1748353152.0000, lat: min=39.9247, max=39.9414, lng: min=116.5019, max=116.5273
[1042520][25-07-30 16:14:05.823 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:05.854 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:05.854 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:10.081 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0781, max=0.8965
[1042520][25-07-30 16:14:10.082 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:10.082 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748434176.0000
[1042520][25-07-30 16:14:10.082 @ test_model] INFO: ground_truth_np stats: min=39.9247, max=1748353152.0000
Epoch 50 Test Progress (DDIM): 14%|█▍ | 16/113 [01:31<09:08, 5.66s/it][1042520][25-07-30 16:14:11.429 @ test_model] INFO: Batch 16 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:11.430 @ test_model] INFO: Input data stats - abs_time: min=1748351360.0000, max=1748515456.0000, lat: min=39.9206, max=39.9398, lng: min=116.5020, max=116.5276
[1042520][25-07-30 16:14:11.432 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:11.463 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:11.463 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:15.688 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0411, max=0.9668
[1042520][25-07-30 16:14:15.690 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:15.690 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748617216.0000
[1042520][25-07-30 16:14:15.690 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748515456.0000
Epoch 50 Test Progress (DDIM): 15%|█▌ | 17/113 [01:36<09:01, 5.64s/it][1042520][25-07-30 16:14:17.040 @ test_model] INFO: Batch 17 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:17.041 @ test_model] INFO: Input data stats - abs_time: min=1748513664.0000, max=1748713728.0000, lat: min=39.9207, max=39.9398, lng: min=116.5099, max=116.5276
[1042520][25-07-30 16:14:17.042 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:17.073 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:17.073 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:21.300 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0051, max=1.0344
[1042520][25-07-30 16:14:21.301 @ test_model] WARNING: Batch 17 - Values outside [0,1] in pred_x0_scaled: min=-0.0051, max=1.0344. Clamping.
[1042520][25-07-30 16:14:21.302 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:21.302 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:14:21.302 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748713728.0000
Epoch 50 Test Progress (DDIM): 16%|█▌ | 18/113 [01:42<08:54, 5.63s/it][1042520][25-07-30 16:14:22.642 @ test_model] INFO: Batch 18 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:22.643 @ test_model] INFO: Input data stats - abs_time: min=1748181632.0000, max=1748714368.0000, lat: min=39.9170, max=39.9399, lng: min=116.4959, max=116.5296
[1042520][25-07-30 16:14:22.644 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:22.675 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:22.675 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:26.899 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0034, max=1.0215
[1042520][25-07-30 16:14:26.900 @ test_model] WARNING: Batch 18 - Values outside [0,1] in pred_x0_scaled: min=-0.0034, max=1.0215. Clamping.
[1042520][25-07-30 16:14:26.901 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:26.901 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:14:26.901 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 17%|█▋ | 19/113 [01:48<08:48, 5.63s/it][1042520][25-07-30 16:14:28.263 @ test_model] INFO: Batch 19 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:28.264 @ test_model] INFO: Input data stats - abs_time: min=1748361216.0000, max=1748593664.0000, lat: min=39.9268, max=39.9398, lng: min=116.4960, max=116.5276
[1042520][25-07-30 16:14:28.265 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:28.296 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:28.296 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:32.522 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0572, max=0.9942
[1042520][25-07-30 16:14:32.524 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:32.524 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748688512.0000
[1042520][25-07-30 16:14:32.524 @ test_model] INFO: ground_truth_np stats: min=39.9268, max=1748593664.0000
Epoch 50 Test Progress (DDIM): 18%|█▊ | 20/113 [01:53<08:42, 5.62s/it][1042520][25-07-30 16:14:33.867 @ test_model] INFO: Batch 20 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:33.868 @ test_model] INFO: Input data stats - abs_time: min=1748523392.0000, max=1748705408.0000, lat: min=39.9173, max=39.9398, lng: min=116.4968, max=116.5276
[1042520][25-07-30 16:14:33.869 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:33.900 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:33.900 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:38.124 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0023, max=1.0407
[1042520][25-07-30 16:14:38.124 @ test_model] WARNING: Batch 20 - Values outside [0,1] in pred_x0_scaled: min=0.0023, max=1.0407. Clamping.
[1042520][25-07-30 16:14:38.125 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:38.125 @ test_model] INFO: pred_x0_np stats: min=39.9164, max=1748703744.0000
[1042520][25-07-30 16:14:38.125 @ test_model] INFO: ground_truth_np stats: min=39.9173, max=1748705408.0000
Epoch 50 Test Progress (DDIM): 19%|█▊ | 21/113 [01:59<08:37, 5.62s/it][1042520][25-07-30 16:14:39.492 @ test_model] INFO: Batch 21 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:39.493 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9207, max=39.9411, lng: min=116.4997, max=116.5276
[1042520][25-07-30 16:14:39.494 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:39.525 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:39.526 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:43.752 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0393, max=1.0387
[1042520][25-07-30 16:14:43.753 @ test_model] WARNING: Batch 21 - Values outside [0,1] in pred_x0_scaled: min=0.0393, max=1.0387. Clamping.
[1042520][25-07-30 16:14:43.754 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:43.754 @ test_model] INFO: pred_x0_np stats: min=39.9186, max=1748703744.0000
[1042520][25-07-30 16:14:43.754 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 19%|█▉ | 22/113 [02:04<08:31, 5.62s/it][1042520][25-07-30 16:14:45.096 @ test_model] INFO: Batch 22 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:45.097 @ test_model] INFO: Input data stats - abs_time: min=1748277376.0000, max=1748441344.0000, lat: min=39.9207, max=39.9411, lng: min=116.4964, max=116.5272
[1042520][25-07-30 16:14:45.098 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:45.129 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:45.129 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:49.352 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0498, max=0.9318
[1042520][25-07-30 16:14:49.353 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:49.353 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748526336.0000
[1042520][25-07-30 16:14:49.353 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748441344.0000
Epoch 50 Test Progress (DDIM): 20%|██ | 23/113 [02:10<08:24, 5.61s/it][1042520][25-07-30 16:14:50.693 @ test_model] INFO: Batch 23 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:50.693 @ test_model] INFO: Input data stats - abs_time: min=1748439552.0000, max=1748603648.0000, lat: min=39.9207, max=39.9411, lng: min=116.5018, max=116.5276
[1042520][25-07-30 16:14:50.695 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:50.726 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:50.726 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:14:54.952 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0407, max=0.9941
[1042520][25-07-30 16:14:54.953 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:14:54.953 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748688256.0000
[1042520][25-07-30 16:14:54.953 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748603648.0000
Epoch 50 Test Progress (DDIM): 21%|██ | 24/113 [02:16<08:19, 5.61s/it][1042520][25-07-30 16:14:56.295 @ test_model] INFO: Batch 24 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:14:56.296 @ test_model] INFO: Input data stats - abs_time: min=1748185216.0000, max=1748714368.0000, lat: min=39.9209, max=39.9414, lng: min=116.4901, max=116.5275
[1042520][25-07-30 16:14:56.297 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:14:56.328 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:14:56.328 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:00.550 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0385, max=1.0352
[1042520][25-07-30 16:15:00.550 @ test_model] WARNING: Batch 24 - Values outside [0,1] in pred_x0_scaled: min=0.0385, max=1.0352. Clamping.
[1042520][25-07-30 16:15:00.551 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:00.551 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
[1042520][25-07-30 16:15:00.551 @ test_model] INFO: ground_truth_np stats: min=39.9209, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 22%|██▏ | 25/113 [02:21<08:13, 5.60s/it][1042520][25-07-30 16:15:01.892 @ test_model] INFO: Batch 25 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:01.893 @ test_model] INFO: Input data stats - abs_time: min=1748254720.0000, max=1748454784.0000, lat: min=39.9267, max=39.9413, lng: min=116.4901, max=116.5306
[1042520][25-07-30 16:15:01.894 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:01.925 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:01.925 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:06.150 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0345, max=0.9346
[1042520][25-07-30 16:15:06.151 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:06.151 @ test_model] INFO: pred_x0_np stats: min=39.9240, max=1748533504.0000
[1042520][25-07-30 16:15:06.151 @ test_model] INFO: ground_truth_np stats: min=39.9267, max=1748454784.0000
Epoch 50 Test Progress (DDIM): 23%|██▎ | 26/113 [02:27<08:08, 5.61s/it][1042520][25-07-30 16:15:07.524 @ test_model] INFO: Batch 26 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:07.524 @ test_model] INFO: Input data stats - abs_time: min=1748452992.0000, max=1748616960.0000, lat: min=39.9263, max=39.9430, lng: min=116.4889, max=116.5328
[1042520][25-07-30 16:15:07.526 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:07.557 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:07.557 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:11.782 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0300, max=1.0080
[1042520][25-07-30 16:15:11.783 @ test_model] WARNING: Batch 26 - Values outside [0,1] in pred_x0_scaled: min=0.0300, max=1.0080. Clamping.
[1042520][25-07-30 16:15:11.784 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:11.784 @ test_model] INFO: pred_x0_np stats: min=39.9241, max=1748703744.0000
[1042520][25-07-30 16:15:11.784 @ test_model] INFO: ground_truth_np stats: min=39.9263, max=1748616960.0000
Epoch 50 Test Progress (DDIM): 24%|██▍ | 27/113 [02:33<08:02, 5.61s/it][1042520][25-07-30 16:15:13.130 @ test_model] INFO: Batch 27 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:13.130 @ test_model] INFO: Input data stats - abs_time: min=1748098816.0000, max=1748714368.0000, lat: min=39.9192, max=39.9425, lng: min=116.4912, max=116.5308
[1042520][25-07-30 16:15:13.132 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:13.163 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:13.163 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:17.394 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0437, max=1.0342
[1042520][25-07-30 16:15:17.395 @ test_model] WARNING: Batch 27 - Values outside [0,1] in pred_x0_scaled: min=0.0437, max=1.0342. Clamping.
[1042520][25-07-30 16:15:17.395 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:17.396 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
[1042520][25-07-30 16:15:17.396 @ test_model] INFO: ground_truth_np stats: min=39.9192, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 25%|██▍ | 28/113 [02:38<07:57, 5.61s/it][1042520][25-07-30 16:15:18.747 @ test_model] INFO: Batch 28 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:18.748 @ test_model] INFO: Input data stats - abs_time: min=1748163712.0000, max=1748345728.0000, lat: min=39.9257, max=39.9396, lng: min=116.5135, max=116.5274
[1042520][25-07-30 16:15:18.749 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:18.780 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:18.780 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:23.002 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1193, max=0.8904
[1042520][25-07-30 16:15:23.003 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:23.003 @ test_model] INFO: pred_x0_np stats: min=39.9233, max=1748418560.0000
[1042520][25-07-30 16:15:23.004 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748345728.0000
Epoch 50 Test Progress (DDIM): 26%|██▌ | 29/113 [02:44<07:51, 5.61s/it][1042520][25-07-30 16:15:24.354 @ test_model] INFO: Batch 29 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:24.354 @ test_model] INFO: Input data stats - abs_time: min=1748343936.0000, max=1748594432.0000, lat: min=39.9284, max=39.9413, lng: min=116.5135, max=116.5296
[1042520][25-07-30 16:15:24.355 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:24.386 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:24.386 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:28.607 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1378, max=0.9860
[1042520][25-07-30 16:15:28.608 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:28.609 @ test_model] INFO: pred_x0_np stats: min=39.9262, max=1748667264.0000
[1042520][25-07-30 16:15:28.609 @ test_model] INFO: ground_truth_np stats: min=39.9284, max=1748594432.0000
Epoch 50 Test Progress (DDIM): 27%|██▋ | 30/113 [02:49<07:45, 5.61s/it][1042520][25-07-30 16:15:29.957 @ test_model] INFO: Batch 30 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:29.958 @ test_model] INFO: Input data stats - abs_time: min=1747756800.0000, max=1748714368.0000, lat: min=39.9257, max=39.9414, lng: min=116.4946, max=116.5274
[1042520][25-07-30 16:15:29.959 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:29.990 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:29.990 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:34.210 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0563, max=1.0398
[1042520][25-07-30 16:15:34.210 @ test_model] WARNING: Batch 30 - Values outside [0,1] in pred_x0_scaled: min=0.0563, max=1.0398. Clamping.
[1042520][25-07-30 16:15:34.211 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:34.211 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748703744.0000
[1042520][25-07-30 16:15:34.212 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 27%|██▋ | 31/113 [02:55<07:40, 5.61s/it][1042520][25-07-30 16:15:35.577 @ test_model] INFO: Batch 31 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:35.578 @ test_model] INFO: Input data stats - abs_time: min=1747835136.0000, max=1748017152.0000, lat: min=39.9301, max=39.9404, lng: min=116.4902, max=116.5274
[1042520][25-07-30 16:15:35.579 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:35.610 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:35.610 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:39.833 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0256, max=0.7722
[1042520][25-07-30 16:15:39.834 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:39.834 @ test_model] INFO: pred_x0_np stats: min=39.9274, max=1748110848.0000
[1042520][25-07-30 16:15:39.834 @ test_model] INFO: ground_truth_np stats: min=39.9301, max=1748017152.0000
Epoch 50 Test Progress (DDIM): 28%|██▊ | 32/113 [03:01<07:34, 5.61s/it][1042520][25-07-30 16:15:41.197 @ test_model] INFO: Batch 32 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:41.197 @ test_model] INFO: Input data stats - abs_time: min=1748015360.0000, max=1748438528.0000, lat: min=39.9300, max=39.9405, lng: min=116.4928, max=116.5274
[1042520][25-07-30 16:15:41.199 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:41.230 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:41.230 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:45.450 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0550, max=0.9166
[1042520][25-07-30 16:15:45.450 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:45.451 @ test_model] INFO: pred_x0_np stats: min=39.9235, max=1748486656.0000
[1042520][25-07-30 16:15:45.451 @ test_model] INFO: ground_truth_np stats: min=39.9300, max=1748438528.0000
Epoch 50 Test Progress (DDIM): 29%|██▉ | 33/113 [03:06<07:28, 5.61s/it][1042520][25-07-30 16:15:46.794 @ test_model] INFO: Batch 33 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:46.795 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748627968.0000, lat: min=39.9177, max=39.9408, lng: min=116.4961, max=116.5275
[1042520][25-07-30 16:15:46.796 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:46.827 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:46.827 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:51.050 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0048, max=1.0042
[1042520][25-07-30 16:15:51.051 @ test_model] WARNING: Batch 33 - Values outside [0,1] in pred_x0_scaled: min=-0.0048, max=1.0042. Clamping.
[1042520][25-07-30 16:15:51.052 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:51.052 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:15:51.052 @ test_model] INFO: ground_truth_np stats: min=39.9177, max=1748627968.0000
Epoch 50 Test Progress (DDIM): 30%|███ | 34/113 [03:12<07:23, 5.61s/it][1042520][25-07-30 16:15:52.403 @ test_model] INFO: Batch 34 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:52.403 @ test_model] INFO: Input data stats - abs_time: min=1748276864.0000, max=1748440960.0000, lat: min=39.9162, max=39.9396, lng: min=116.4961, max=116.5274
[1042520][25-07-30 16:15:52.405 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:52.435 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:52.436 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:15:56.661 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0174, max=0.9326
[1042520][25-07-30 16:15:56.661 @ test_model] WARNING: Batch 34 - Values outside [0,1] in pred_x0_scaled: min=-0.0174, max=0.9326. Clamping.
[1042520][25-07-30 16:15:56.662 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:15:56.662 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748528256.0000
[1042520][25-07-30 16:15:56.662 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748440960.0000
Epoch 50 Test Progress (DDIM): 31%|███ | 35/113 [03:17<07:17, 5.61s/it][1042520][25-07-30 16:15:58.005 @ test_model] INFO: Batch 35 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:15:58.006 @ test_model] INFO: Input data stats - abs_time: min=1748439168.0000, max=1748603136.0000, lat: min=39.9161, max=39.9426, lng: min=116.4961, max=116.5281
[1042520][25-07-30 16:15:58.007 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:15:58.038 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:15:58.038 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:02.259 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0374, max=0.9934
[1042520][25-07-30 16:16:02.260 @ test_model] WARNING: Batch 35 - Values outside [0,1] in pred_x0_scaled: min=-0.0374, max=0.9934. Clamping.
[1042520][25-07-30 16:16:02.261 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:02.261 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748686464.0000
[1042520][25-07-30 16:16:02.261 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748603136.0000
Epoch 50 Test Progress (DDIM): 32%|███▏ | 36/113 [03:23<07:11, 5.61s/it][1042520][25-07-30 16:16:03.613 @ test_model] INFO: Batch 36 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:03.614 @ test_model] INFO: Input data stats - abs_time: min=1748257152.0000, max=1748714368.0000, lat: min=39.9177, max=39.9397, lng: min=116.4955, max=116.5275
[1042520][25-07-30 16:16:03.615 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:03.646 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:03.647 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:07.979 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0094, max=1.0390
[1042520][25-07-30 16:16:07.979 @ test_model] WARNING: Batch 36 - Values outside [0,1] in pred_x0_scaled: min=-0.0094, max=1.0390. Clamping.
[1042520][25-07-30 16:16:07.980 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:07.980 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:16:07.980 @ test_model] INFO: ground_truth_np stats: min=39.9177, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 33%|███▎ | 37/113 [03:29<07:08, 5.64s/it][1042520][25-07-30 16:16:09.326 @ test_model] INFO: Batch 37 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:09.326 @ test_model] INFO: Input data stats - abs_time: min=1748257920.0000, max=1748594688.0000, lat: min=39.9227, max=39.9397, lng: min=116.5135, max=116.5276
[1042520][25-07-30 16:16:09.328 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:09.359 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:09.359 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:13.580 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0423, max=0.9810
[1042520][25-07-30 16:16:13.581 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:13.581 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748654336.0000
[1042520][25-07-30 16:16:13.581 @ test_model] INFO: ground_truth_np stats: min=39.9227, max=1748594688.0000
Epoch 50 Test Progress (DDIM): 34%|███▎ | 38/113 [03:34<07:01, 5.63s/it][1042520][25-07-30 16:16:14.924 @ test_model] INFO: Batch 38 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:14.924 @ test_model] INFO: Input data stats - abs_time: min=1748592896.0000, max=1748706560.0000, lat: min=39.9216, max=39.9403, lng: min=116.5132, max=116.5274
[1042520][25-07-30 16:16:14.926 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:14.957 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:14.957 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:19.241 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0569, max=1.0358
[1042520][25-07-30 16:16:19.241 @ test_model] WARNING: Batch 38 - Values outside [0,1] in pred_x0_scaled: min=0.0569, max=1.0358. Clamping.
[1042520][25-07-30 16:16:19.242 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:19.242 @ test_model] INFO: pred_x0_np stats: min=39.9196, max=1748703744.0000
[1042520][25-07-30 16:16:19.242 @ test_model] INFO: ground_truth_np stats: min=39.9216, max=1748706560.0000
Epoch 50 Test Progress (DDIM): 35%|███▍ | 39/113 [03:40<06:57, 5.64s/it][1042520][25-07-30 16:16:20.585 @ test_model] INFO: Batch 39 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:20.586 @ test_model] INFO: Input data stats - abs_time: min=1748275200.0000, max=1748714368.0000, lat: min=39.9240, max=39.9398, lng: min=116.5037, max=116.5274
[1042520][25-07-30 16:16:20.587 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:20.618 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:20.618 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:24.841 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0762, max=1.0306
[1042520][25-07-30 16:16:24.842 @ test_model] WARNING: Batch 39 - Values outside [0,1] in pred_x0_scaled: min=0.0762, max=1.0306. Clamping.
[1042520][25-07-30 16:16:24.843 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:24.843 @ test_model] INFO: pred_x0_np stats: min=39.9208, max=1748703744.0000
[1042520][25-07-30 16:16:24.843 @ test_model] INFO: ground_truth_np stats: min=39.9240, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 35%|███▌ | 40/113 [03:46<06:50, 5.63s/it][1042520][25-07-30 16:16:26.189 @ test_model] INFO: Batch 40 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:26.189 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748714368.0000, lat: min=39.9296, max=39.9400, lng: min=116.5026, max=116.5276
[1042520][25-07-30 16:16:26.190 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:26.221 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:26.221 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:30.505 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0904, max=1.0350
[1042520][25-07-30 16:16:30.506 @ test_model] WARNING: Batch 40 - Values outside [0,1] in pred_x0_scaled: min=0.0904, max=1.0350. Clamping.
[1042520][25-07-30 16:16:30.506 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:30.507 @ test_model] INFO: pred_x0_np stats: min=39.9283, max=1748703744.0000
[1042520][25-07-30 16:16:30.507 @ test_model] INFO: ground_truth_np stats: min=39.9296, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 36%|███▋ | 41/113 [03:51<06:45, 5.64s/it][1042520][25-07-30 16:16:31.853 @ test_model] INFO: Batch 41 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:31.853 @ test_model] INFO: Input data stats - abs_time: min=1748190592.0000, max=1748354560.0000, lat: min=39.9166, max=39.9401, lng: min=116.4897, max=116.5278
[1042520][25-07-30 16:16:31.854 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:31.885 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:31.885 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:36.110 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0159, max=0.8957
[1042520][25-07-30 16:16:36.111 @ test_model] WARNING: Batch 41 - Values outside [0,1] in pred_x0_scaled: min=-0.0159, max=0.8957. Clamping.
[1042520][25-07-30 16:16:36.111 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:36.112 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748432256.0000
[1042520][25-07-30 16:16:36.112 @ test_model] INFO: ground_truth_np stats: min=39.9166, max=1748354560.0000
Epoch 50 Test Progress (DDIM): 37%|███▋ | 42/113 [03:57<06:39, 5.63s/it][1042520][25-07-30 16:16:37.454 @ test_model] INFO: Batch 42 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:37.454 @ test_model] INFO: Input data stats - abs_time: min=1748352768.0000, max=1748516864.0000, lat: min=39.9167, max=39.9413, lng: min=116.4908, max=116.5279
[1042520][25-07-30 16:16:37.456 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:37.487 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:37.487 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:41.790 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0013, max=0.9562
[1042520][25-07-30 16:16:41.790 @ test_model] WARNING: Batch 42 - Values outside [0,1] in pred_x0_scaled: min=-0.0013, max=0.9562. Clamping.
[1042520][25-07-30 16:16:41.791 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:41.791 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748589568.0000
[1042520][25-07-30 16:16:41.791 @ test_model] INFO: ground_truth_np stats: min=39.9167, max=1748516864.0000
Epoch 50 Test Progress (DDIM): 38%|███▊ | 43/113 [04:03<06:35, 5.65s/it][1042520][25-07-30 16:16:43.146 @ test_model] INFO: Batch 43 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:43.146 @ test_model] INFO: Input data stats - abs_time: min=1748515072.0000, max=1748679040.0000, lat: min=39.9201, max=39.9397, lng: min=116.4906, max=116.5297
[1042520][25-07-30 16:16:43.148 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:43.178 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:43.179 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:47.400 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0169, max=1.0073
[1042520][25-07-30 16:16:47.400 @ test_model] WARNING: Batch 43 - Values outside [0,1] in pred_x0_scaled: min=0.0169, max=1.0073. Clamping.
[1042520][25-07-30 16:16:47.401 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:47.401 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
[1042520][25-07-30 16:16:47.401 @ test_model] INFO: ground_truth_np stats: min=39.9201, max=1748679040.0000
Epoch 50 Test Progress (DDIM): 39%|███▉ | 44/113 [04:08<06:28, 5.63s/it][1042520][25-07-30 16:16:48.748 @ test_model] INFO: Batch 44 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:48.749 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748714368.0000, lat: min=39.9152, max=39.9396, lng: min=116.4894, max=116.5272
[1042520][25-07-30 16:16:48.750 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:48.781 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:48.781 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:53.061 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0205, max=1.0332
[1042520][25-07-30 16:16:53.061 @ test_model] WARNING: Batch 44 - Values outside [0,1] in pred_x0_scaled: min=-0.0205, max=1.0332. Clamping.
[1042520][25-07-30 16:16:53.062 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:53.062 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:16:53.062 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 40%|███▉ | 45/113 [04:14<06:23, 5.64s/it][1042520][25-07-30 16:16:54.419 @ test_model] INFO: Batch 45 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:16:54.419 @ test_model] INFO: Input data stats - abs_time: min=1748265344.0000, max=1748429440.0000, lat: min=39.9282, max=39.9398, lng: min=116.4988, max=116.5275
[1042520][25-07-30 16:16:54.421 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:16:54.452 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:16:54.452 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:16:58.675 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0682, max=0.9236
[1042520][25-07-30 16:16:58.676 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:16:58.677 @ test_model] INFO: pred_x0_np stats: min=39.9240, max=1748504832.0000
[1042520][25-07-30 16:16:58.677 @ test_model] INFO: ground_truth_np stats: min=39.9282, max=1748429440.0000
Epoch 50 Test Progress (DDIM): 41%|████ | 46/113 [04:19<06:17, 5.63s/it][1042520][25-07-30 16:17:00.030 @ test_model] INFO: Batch 46 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:00.030 @ test_model] INFO: Input data stats - abs_time: min=1748427648.0000, max=1748541184.0000, lat: min=39.9279, max=39.9397, lng: min=116.4986, max=116.5275
[1042520][25-07-30 16:17:00.032 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:00.063 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:00.063 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:04.372 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0741, max=0.9686
[1042520][25-07-30 16:17:04.373 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:04.373 @ test_model] INFO: pred_x0_np stats: min=39.9255, max=1748621952.0000
[1042520][25-07-30 16:17:04.373 @ test_model] INFO: ground_truth_np stats: min=39.9279, max=1748541184.0000
Epoch 50 Test Progress (DDIM): 42%|████▏ | 47/113 [04:25<06:13, 5.65s/it][1042520][25-07-30 16:17:05.722 @ test_model] INFO: Batch 47 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:05.723 @ test_model] INFO: Input data stats - abs_time: min=1748539392.0000, max=1748703488.0000, lat: min=39.9282, max=39.9397, lng: min=116.4987, max=116.5275
[1042520][25-07-30 16:17:05.724 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:05.755 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:05.755 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:09.976 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0708, max=1.0330
[1042520][25-07-30 16:17:09.976 @ test_model] WARNING: Batch 47 - Values outside [0,1] in pred_x0_scaled: min=0.0708, max=1.0330. Clamping.
[1042520][25-07-30 16:17:09.977 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:09.977 @ test_model] INFO: pred_x0_np stats: min=39.9251, max=1748703744.0000
[1042520][25-07-30 16:17:09.977 @ test_model] INFO: ground_truth_np stats: min=39.9282, max=1748703488.0000
Epoch 50 Test Progress (DDIM): 42%|████▏ | 48/113 [04:31<06:06, 5.64s/it][1042520][25-07-30 16:17:11.328 @ test_model] INFO: Batch 48 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:11.328 @ test_model] INFO: Input data stats - abs_time: min=1748339968.0000, max=1748714368.0000, lat: min=39.9232, max=39.9397, lng: min=116.4961, max=116.5275
[1042520][25-07-30 16:17:11.329 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:11.360 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:11.360 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:15.663 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0489, max=1.0360
[1042520][25-07-30 16:17:15.664 @ test_model] WARNING: Batch 48 - Values outside [0,1] in pred_x0_scaled: min=0.0489, max=1.0360. Clamping.
[1042520][25-07-30 16:17:15.665 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:15.665 @ test_model] INFO: pred_x0_np stats: min=39.9225, max=1748703744.0000
[1042520][25-07-30 16:17:15.665 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 43%|████▎ | 49/113 [04:36<06:01, 5.65s/it][1042520][25-07-30 16:17:17.016 @ test_model] INFO: Batch 49 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:17.016 @ test_model] INFO: Input data stats - abs_time: min=1748440960.0000, max=1748605056.0000, lat: min=39.9232, max=39.9396, lng: min=116.4960, max=116.5275
[1042520][25-07-30 16:17:17.018 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:17.048 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:17.048 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:21.271 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0384, max=1.0012
[1042520][25-07-30 16:17:21.271 @ test_model] WARNING: Batch 49 - Values outside [0,1] in pred_x0_scaled: min=0.0384, max=1.0012. Clamping.
[1042520][25-07-30 16:17:21.272 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:21.272 @ test_model] INFO: pred_x0_np stats: min=39.9210, max=1748703744.0000
[1042520][25-07-30 16:17:21.273 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748605056.0000
Epoch 50 Test Progress (DDIM): 44%|████▍ | 50/113 [04:42<05:55, 5.64s/it][1042520][25-07-30 16:17:22.638 @ test_model] INFO: Batch 50 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:22.639 @ test_model] INFO: Input data stats - abs_time: min=1748268032.0000, max=1748714368.0000, lat: min=39.9257, max=39.9398, lng: min=116.4974, max=116.5274
[1042520][25-07-30 16:17:22.640 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:22.671 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:22.671 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:26.959 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0481, max=1.0375
[1042520][25-07-30 16:17:26.959 @ test_model] WARNING: Batch 50 - Values outside [0,1] in pred_x0_scaled: min=0.0481, max=1.0375. Clamping.
[1042520][25-07-30 16:17:26.960 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:26.960 @ test_model] INFO: pred_x0_np stats: min=39.9242, max=1748703744.0000
[1042520][25-07-30 16:17:26.960 @ test_model] INFO: ground_truth_np stats: min=39.9257, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 45%|████▌ | 51/113 [04:48<05:50, 5.66s/it][1042520][25-07-30 16:17:28.330 @ test_model] INFO: Batch 51 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:28.330 @ test_model] INFO: Input data stats - abs_time: min=1748270464.0000, max=1748434560.0000, lat: min=39.9231, max=39.9397, lng: min=116.4902, max=116.5277
[1042520][25-07-30 16:17:28.331 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:28.362 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:28.362 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:32.588 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0309, max=0.9284
[1042520][25-07-30 16:17:32.589 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:32.589 @ test_model] INFO: pred_x0_np stats: min=39.9217, max=1748517376.0000
[1042520][25-07-30 16:17:32.589 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748434560.0000
Epoch 50 Test Progress (DDIM): 46%|████▌ | 52/113 [04:53<05:44, 5.64s/it][1042520][25-07-30 16:17:33.935 @ test_model] INFO: Batch 52 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:33.935 @ test_model] INFO: Input data stats - abs_time: min=1748432768.0000, max=1748596736.0000, lat: min=39.9231, max=39.9397, lng: min=116.5019, max=116.5276
[1042520][25-07-30 16:17:33.936 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:33.967 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:33.967 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:38.271 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0803, max=0.9927
[1042520][25-07-30 16:17:38.272 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:38.272 @ test_model] INFO: pred_x0_np stats: min=39.9210, max=1748684800.0000
[1042520][25-07-30 16:17:38.273 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748596736.0000
Epoch 50 Test Progress (DDIM): 47%|████▋ | 53/113 [04:59<05:39, 5.66s/it][1042520][25-07-30 16:17:39.631 @ test_model] INFO: Batch 53 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:39.631 @ test_model] INFO: Input data stats - abs_time: min=1748001536.0000, max=1748714368.0000, lat: min=39.9232, max=39.9414, lng: min=116.5019, max=116.5298
[1042520][25-07-30 16:17:39.632 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:39.663 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:39.664 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:43.891 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0890, max=1.0372
[1042520][25-07-30 16:17:43.891 @ test_model] WARNING: Batch 53 - Values outside [0,1] in pred_x0_scaled: min=0.0890, max=1.0372. Clamping.
[1042520][25-07-30 16:17:43.892 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:43.892 @ test_model] INFO: pred_x0_np stats: min=39.9216, max=1748703744.0000
[1042520][25-07-30 16:17:43.892 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 48%|████▊ | 54/113 [05:05<05:32, 5.64s/it][1042520][25-07-30 16:17:45.237 @ test_model] INFO: Batch 54 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:45.238 @ test_model] INFO: Input data stats - abs_time: min=1748013952.0000, max=1748455168.0000, lat: min=39.9161, max=39.9405, lng: min=116.4964, max=116.5288
[1042520][25-07-30 16:17:45.239 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:45.270 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:45.270 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:49.624 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0451, max=0.9395
[1042520][25-07-30 16:17:49.624 @ test_model] WARNING: Batch 54 - Values outside [0,1] in pred_x0_scaled: min=-0.0451, max=0.9395. Clamping.
[1042520][25-07-30 16:17:49.625 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:49.625 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748546176.0000
[1042520][25-07-30 16:17:49.626 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748455168.0000
Epoch 50 Test Progress (DDIM): 49%|████▊ | 55/113 [05:10<05:28, 5.67s/it][1042520][25-07-30 16:17:50.967 @ test_model] INFO: Batch 55 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:50.967 @ test_model] INFO: Input data stats - abs_time: min=1748453376.0000, max=1748617344.0000, lat: min=39.9255, max=39.9399, lng: min=116.5086, max=116.5298
[1042520][25-07-30 16:17:50.969 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:50.999 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:51.000 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:17:55.231 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1038, max=1.0045
[1042520][25-07-30 16:17:55.231 @ test_model] WARNING: Batch 55 - Values outside [0,1] in pred_x0_scaled: min=0.1038, max=1.0045. Clamping.
[1042520][25-07-30 16:17:55.232 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:17:55.232 @ test_model] INFO: pred_x0_np stats: min=39.9224, max=1748703744.0000
[1042520][25-07-30 16:17:55.232 @ test_model] INFO: ground_truth_np stats: min=39.9255, max=1748617344.0000
Epoch 50 Test Progress (DDIM): 50%|████▉ | 56/113 [05:16<05:22, 5.65s/it][1042520][25-07-30 16:17:56.581 @ test_model] INFO: Batch 56 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:17:56.582 @ test_model] INFO: Input data stats - abs_time: min=1747728000.0000, max=1748714368.0000, lat: min=39.9206, max=39.9431, lng: min=116.5021, max=116.5323
[1042520][25-07-30 16:17:56.583 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:17:56.614 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:17:56.614 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:00.840 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0427, max=1.0322
[1042520][25-07-30 16:18:00.841 @ test_model] WARNING: Batch 56 - Values outside [0,1] in pred_x0_scaled: min=0.0427, max=1.0322. Clamping.
[1042520][25-07-30 16:18:00.842 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:00.842 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748703744.0000
[1042520][25-07-30 16:18:00.842 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 50%|█████ | 57/113 [05:22<05:15, 5.64s/it][1042520][25-07-30 16:18:02.191 @ test_model] INFO: Batch 57 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:02.192 @ test_model] INFO: Input data stats - abs_time: min=1747742848.0000, max=1748338944.0000, lat: min=39.9193, max=39.9413, lng: min=116.5016, max=116.5274
[1042520][25-07-30 16:18:02.193 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:02.224 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:02.224 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:06.468 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0157, max=0.8948
[1042520][25-07-30 16:18:06.469 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:06.469 @ test_model] INFO: pred_x0_np stats: min=39.9172, max=1748429952.0000
[1042520][25-07-30 16:18:06.469 @ test_model] INFO: ground_truth_np stats: min=39.9193, max=1748338944.0000
Epoch 50 Test Progress (DDIM): 51%|█████▏ | 58/113 [05:27<05:11, 5.66s/it][1042520][25-07-30 16:18:07.915 @ test_model] INFO: Batch 58 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:07.915 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748523520.0000, lat: min=39.9206, max=39.9789, lng: min=116.4765, max=116.5274
[1042520][25-07-30 16:18:07.917 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:07.948 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:07.949 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:12.202 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0458, max=1.0586
[1042520][25-07-30 16:18:12.203 @ test_model] WARNING: Batch 58 - Values outside [0,1] in pred_x0_scaled: min=-0.0458, max=1.0586. Clamping.
[1042520][25-07-30 16:18:12.204 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:12.204 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748600960.0000
[1042520][25-07-30 16:18:12.204 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748523520.0000
Epoch 50 Test Progress (DDIM): 52%|█████▏ | 59/113 [05:33<05:08, 5.71s/it][1042520][25-07-30 16:18:13.740 @ test_model] INFO: Batch 59 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:13.741 @ test_model] INFO: Input data stats - abs_time: min=1748350080.0000, max=1748532096.0000, lat: min=39.9681, max=39.9789, lng: min=116.4811, max=116.5183
[1042520][25-07-30 16:18:13.742 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:13.773 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:13.773 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:18.006 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0416, max=1.0724
[1042520][25-07-30 16:18:18.007 @ test_model] WARNING: Batch 59 - Values outside [0,1] in pred_x0_scaled: min=-0.0416, max=1.0724. Clamping.
[1042520][25-07-30 16:18:18.007 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:18.008 @ test_model] INFO: pred_x0_np stats: min=39.9631, max=1748553088.0000
[1042520][25-07-30 16:18:18.008 @ test_model] INFO: ground_truth_np stats: min=39.9681, max=1748532096.0000
Epoch 50 Test Progress (DDIM): 53%|█████▎ | 60/113 [05:39<05:01, 5.68s/it][1042520][25-07-30 16:18:19.357 @ test_model] INFO: Batch 60 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:19.358 @ test_model] INFO: Input data stats - abs_time: min=1748530304.0000, max=1748694272.0000, lat: min=39.9590, max=39.9788, lng: min=116.4713, max=116.5183
[1042520][25-07-30 16:18:19.359 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:19.390 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:19.390 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:23.612 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0853, max=1.0799
[1042520][25-07-30 16:18:23.613 @ test_model] WARNING: Batch 60 - Values outside [0,1] in pred_x0_scaled: min=-0.0853, max=1.0799. Clamping.
[1042520][25-07-30 16:18:23.614 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:23.614 @ test_model] INFO: pred_x0_np stats: min=39.9532, max=1748703744.0000
[1042520][25-07-30 16:18:23.614 @ test_model] INFO: ground_truth_np stats: min=39.9590, max=1748694272.0000
Epoch 50 Test Progress (DDIM): 54%|█████▍ | 61/113 [05:44<04:54, 5.66s/it][1042520][25-07-30 16:18:24.955 @ test_model] INFO: Batch 61 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:24.955 @ test_model] INFO: Input data stats - abs_time: min=1748080768.0000, max=1748696320.0000, lat: min=39.9350, max=39.9653, lng: min=116.4840, max=116.5289
[1042520][25-07-30 16:18:24.957 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:24.988 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:24.988 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:29.209 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0228, max=0.9971
[1042520][25-07-30 16:18:29.210 @ test_model] WARNING: Batch 61 - Values outside [0,1] in pred_x0_scaled: min=-0.0228, max=0.9971. Clamping.
[1042520][25-07-30 16:18:29.210 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:29.211 @ test_model] INFO: pred_x0_np stats: min=39.9323, max=1748696320.0000
[1042520][25-07-30 16:18:29.211 @ test_model] INFO: ground_truth_np stats: min=39.9350, max=1748696320.0000
Epoch 50 Test Progress (DDIM): 55%|█████▍ | 62/113 [05:50<04:47, 5.64s/it][1042520][25-07-30 16:18:30.554 @ test_model] INFO: Batch 62 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:30.555 @ test_model] INFO: Input data stats - abs_time: min=1748345344.0000, max=1748527488.0000, lat: min=39.9352, max=39.9404, lng: min=116.5020, max=116.5289
[1042520][25-07-30 16:18:30.556 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:30.588 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:30.588 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:34.816 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0382, max=0.9736
[1042520][25-07-30 16:18:34.817 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:34.817 @ test_model] INFO: pred_x0_np stats: min=39.9265, max=1748635008.0000
[1042520][25-07-30 16:18:34.817 @ test_model] INFO: ground_truth_np stats: min=39.9352, max=1748527488.0000
Epoch 50 Test Progress (DDIM): 56%|█████▌ | 63/113 [05:56<04:41, 5.63s/it][1042520][25-07-30 16:18:36.164 @ test_model] INFO: Batch 63 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:36.165 @ test_model] INFO: Input data stats - abs_time: min=1748525696.0000, max=1748707712.0000, lat: min=39.9314, max=39.9402, lng: min=116.5021, max=116.5293
[1042520][25-07-30 16:18:36.166 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:36.197 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:36.197 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:40.503 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0789, max=1.0335
[1042520][25-07-30 16:18:40.504 @ test_model] WARNING: Batch 63 - Values outside [0,1] in pred_x0_scaled: min=0.0789, max=1.0335. Clamping.
[1042520][25-07-30 16:18:40.504 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:40.505 @ test_model] INFO: pred_x0_np stats: min=39.9298, max=1748703744.0000
[1042520][25-07-30 16:18:40.505 @ test_model] INFO: ground_truth_np stats: min=39.9314, max=1748707712.0000
Epoch 50 Test Progress (DDIM): 57%|█████▋ | 64/113 [06:01<04:36, 5.65s/it][1042520][25-07-30 16:18:41.848 @ test_model] INFO: Batch 64 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:41.849 @ test_model] INFO: Input data stats - abs_time: min=1748012416.0000, max=1748714368.0000, lat: min=39.9284, max=39.9403, lng: min=116.5020, max=116.5290
[1042520][25-07-30 16:18:41.850 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:41.881 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:41.881 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:46.098 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0853, max=1.0355
[1042520][25-07-30 16:18:46.098 @ test_model] WARNING: Batch 64 - Values outside [0,1] in pred_x0_scaled: min=0.0853, max=1.0355. Clamping.
[1042520][25-07-30 16:18:46.099 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:46.099 @ test_model] INFO: pred_x0_np stats: min=39.9257, max=1748703744.0000
[1042520][25-07-30 16:18:46.099 @ test_model] INFO: ground_truth_np stats: min=39.9284, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 58%|█████▊ | 65/113 [06:07<04:30, 5.63s/it][1042520][25-07-30 16:18:47.440 @ test_model] INFO: Batch 65 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:47.440 @ test_model] INFO: Input data stats - abs_time: min=1748358784.0000, max=1748627200.0000, lat: min=39.9286, max=39.9398, lng: min=116.5018, max=116.5275
[1042520][25-07-30 16:18:47.442 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:47.473 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:47.473 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:51.697 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0827, max=1.0039
[1042520][25-07-30 16:18:51.697 @ test_model] WARNING: Batch 65 - Values outside [0,1] in pred_x0_scaled: min=0.0827, max=1.0039. Clamping.
[1042520][25-07-30 16:18:51.698 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:51.698 @ test_model] INFO: pred_x0_np stats: min=39.9271, max=1748703744.0000
[1042520][25-07-30 16:18:51.698 @ test_model] INFO: ground_truth_np stats: min=39.9286, max=1748627200.0000
Epoch 50 Test Progress (DDIM): 58%|█████▊ | 66/113 [06:12<04:24, 5.62s/it][1042520][25-07-30 16:18:53.041 @ test_model] INFO: Batch 66 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:53.041 @ test_model] INFO: Input data stats - abs_time: min=1748095232.0000, max=1748714368.0000, lat: min=39.9281, max=39.9414, lng: min=116.5019, max=116.5275
[1042520][25-07-30 16:18:53.043 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:53.074 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:53.074 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:18:57.293 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0623, max=1.0398
[1042520][25-07-30 16:18:57.294 @ test_model] WARNING: Batch 66 - Values outside [0,1] in pred_x0_scaled: min=0.0623, max=1.0398. Clamping.
[1042520][25-07-30 16:18:57.295 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:18:57.295 @ test_model] INFO: pred_x0_np stats: min=39.9245, max=1748703744.0000
[1042520][25-07-30 16:18:57.295 @ test_model] INFO: ground_truth_np stats: min=39.9281, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 59%|█████▉ | 67/113 [06:18<04:18, 5.61s/it][1042520][25-07-30 16:18:58.635 @ test_model] INFO: Batch 67 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:18:58.636 @ test_model] INFO: Input data stats - abs_time: min=1748188288.0000, max=1748420736.0000, lat: min=39.9247, max=39.9414, lng: min=116.5051, max=116.5275
[1042520][25-07-30 16:18:58.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:18:58.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:18:58.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:02.892 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0980, max=0.9103
[1042520][25-07-30 16:19:02.893 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:02.893 @ test_model] INFO: pred_x0_np stats: min=39.9234, max=1748470144.0000
[1042520][25-07-30 16:19:02.893 @ test_model] INFO: ground_truth_np stats: min=39.9247, max=1748420736.0000
Epoch 50 Test Progress (DDIM): 60%|██████ | 68/113 [06:24<04:12, 5.62s/it][1042520][25-07-30 16:19:04.261 @ test_model] INFO: Batch 68 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:04.262 @ test_model] INFO: Input data stats - abs_time: min=1748192384.0000, max=1748627968.0000, lat: min=39.9246, max=39.9414, lng: min=116.5059, max=116.5276
[1042520][25-07-30 16:19:04.263 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:04.294 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:04.294 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:08.586 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1106, max=0.9998
[1042520][25-07-30 16:19:08.586 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:08.587 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748703104.0000
[1042520][25-07-30 16:19:08.587 @ test_model] INFO: ground_truth_np stats: min=39.9246, max=1748627968.0000
Epoch 50 Test Progress (DDIM): 61%|██████ | 69/113 [06:29<04:08, 5.64s/it][1042520][25-07-30 16:19:09.955 @ test_model] INFO: Batch 69 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:09.955 @ test_model] INFO: Input data stats - abs_time: min=1748251904.0000, max=1748451840.0000, lat: min=39.9353, max=39.9403, lng: min=116.5250, max=116.5280
[1042520][25-07-30 16:19:09.957 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:09.989 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:09.989 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:14.219 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.2689, max=0.9366
[1042520][25-07-30 16:19:14.220 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:14.221 @ test_model] INFO: pred_x0_np stats: min=39.9353, max=1748538496.0000
[1042520][25-07-30 16:19:14.221 @ test_model] INFO: ground_truth_np stats: min=39.9353, max=1748451840.0000
Epoch 50 Test Progress (DDIM): 62%|██████▏ | 70/113 [06:35<04:02, 5.63s/it][1042520][25-07-30 16:19:15.565 @ test_model] INFO: Batch 70 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:15.566 @ test_model] INFO: Input data stats - abs_time: min=1748450048.0000, max=1748700544.0000, lat: min=39.9389, max=39.9397, lng: min=116.5268, max=116.5274
[1042520][25-07-30 16:19:15.567 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:15.598 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:15.598 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:19.894 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.2290, max=1.0289
[1042520][25-07-30 16:19:19.895 @ test_model] WARNING: Batch 70 - Values outside [0,1] in pred_x0_scaled: min=0.2290, max=1.0289. Clamping.
[1042520][25-07-30 16:19:19.895 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:19.896 @ test_model] INFO: pred_x0_np stats: min=39.9336, max=1748703744.0000
[1042520][25-07-30 16:19:19.896 @ test_model] INFO: ground_truth_np stats: min=39.9389, max=1748700544.0000
Epoch 50 Test Progress (DDIM): 63%|██████▎ | 71/113 [06:41<03:57, 5.64s/it][1042520][25-07-30 16:19:21.237 @ test_model] INFO: Batch 71 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:21.238 @ test_model] INFO: Input data stats - abs_time: min=1748192384.0000, max=1748714368.0000, lat: min=39.9144, max=39.9397, lng: min=116.4906, max=116.5276
[1042520][25-07-30 16:19:21.239 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:21.270 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:21.270 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:25.489 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0521, max=1.0311
[1042520][25-07-30 16:19:25.489 @ test_model] WARNING: Batch 71 - Values outside [0,1] in pred_x0_scaled: min=-0.0521, max=1.0311. Clamping.
[1042520][25-07-30 16:19:25.490 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:25.490 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:19:25.491 @ test_model] INFO: ground_truth_np stats: min=39.9144, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 64%|██████▎ | 72/113 [06:46<03:50, 5.63s/it][1042520][25-07-30 16:19:26.834 @ test_model] INFO: Batch 72 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:26.834 @ test_model] INFO: Input data stats - abs_time: min=1748340864.0000, max=1748454528.0000, lat: min=39.9148, max=39.9398, lng: min=116.4955, max=116.5277
[1042520][25-07-30 16:19:26.835 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:26.866 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:26.866 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:31.088 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0411, max=0.9389
[1042520][25-07-30 16:19:31.088 @ test_model] WARNING: Batch 72 - Values outside [0,1] in pred_x0_scaled: min=-0.0411, max=0.9389. Clamping.
[1042520][25-07-30 16:19:31.089 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:31.089 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748544768.0000
[1042520][25-07-30 16:19:31.089 @ test_model] INFO: ground_truth_np stats: min=39.9148, max=1748454528.0000
Epoch 50 Test Progress (DDIM): 65%|██████▍ | 73/113 [06:52<03:44, 5.62s/it][1042520][25-07-30 16:19:32.433 @ test_model] INFO: Batch 73 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:32.433 @ test_model] INFO: Input data stats - abs_time: min=1748452736.0000, max=1748616704.0000, lat: min=39.9154, max=39.9413, lng: min=116.4949, max=116.5287
[1042520][25-07-30 16:19:32.434 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:32.465 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:32.465 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:36.752 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0414, max=1.0004
[1042520][25-07-30 16:19:36.752 @ test_model] WARNING: Batch 73 - Values outside [0,1] in pred_x0_scaled: min=-0.0414, max=1.0004. Clamping.
[1042520][25-07-30 16:19:36.753 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:36.753 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:19:36.753 @ test_model] INFO: ground_truth_np stats: min=39.9154, max=1748616704.0000
Epoch 50 Test Progress (DDIM): 65%|██████▌ | 74/113 [06:57<03:39, 5.64s/it][1042520][25-07-30 16:19:38.104 @ test_model] INFO: Batch 74 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:38.104 @ test_model] INFO: Input data stats - abs_time: min=1747911552.0000, max=1748714368.0000, lat: min=39.9149, max=39.9398, lng: min=116.4948, max=116.5286
[1042520][25-07-30 16:19:38.105 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:38.137 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:38.137 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:42.374 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0374, max=1.0316
[1042520][25-07-30 16:19:42.374 @ test_model] WARNING: Batch 74 - Values outside [0,1] in pred_x0_scaled: min=-0.0374, max=1.0316. Clamping.
[1042520][25-07-30 16:19:42.375 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:42.375 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:19:42.375 @ test_model] INFO: ground_truth_np stats: min=39.9149, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 66%|██████▋ | 75/113 [07:03<03:34, 5.64s/it][1042520][25-07-30 16:19:43.759 @ test_model] INFO: Batch 75 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:43.759 @ test_model] INFO: Input data stats - abs_time: min=1747994240.0000, max=1748107904.0000, lat: min=39.9236, max=39.9397, lng: min=116.5019, max=116.5274
[1042520][25-07-30 16:19:43.760 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:43.792 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:43.792 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:48.035 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0662, max=0.8059
[1042520][25-07-30 16:19:48.036 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:48.036 @ test_model] INFO: pred_x0_np stats: min=39.9218, max=1748198528.0000
[1042520][25-07-30 16:19:48.036 @ test_model] INFO: ground_truth_np stats: min=39.9236, max=1748107904.0000
Epoch 50 Test Progress (DDIM): 67%|██████▋ | 76/113 [07:09<03:28, 5.65s/it][1042520][25-07-30 16:19:49.418 @ test_model] INFO: Batch 76 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:49.419 @ test_model] INFO: Input data stats - abs_time: min=1748106112.0000, max=1748511360.0000, lat: min=39.9232, max=39.9499, lng: min=116.5018, max=116.5451
[1042520][25-07-30 16:19:49.420 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:49.451 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:49.451 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:53.675 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.6880, max=1.7149
[1042520][25-07-30 16:19:53.675 @ test_model] WARNING: Batch 76 - Values outside [0,1] in pred_x0_scaled: min=-0.6880, max=1.7149. Clamping.
[1042520][25-07-30 16:19:53.676 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:53.676 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:19:53.676 @ test_model] INFO: ground_truth_np stats: min=39.9232, max=1748511360.0000
Epoch 50 Test Progress (DDIM): 68%|██████▊ | 77/113 [07:14<03:22, 5.64s/it][1042520][25-07-30 16:19:55.036 @ test_model] INFO: Batch 77 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:19:55.036 @ test_model] INFO: Input data stats - abs_time: min=1748188800.0000, max=1748541568.0000, lat: min=39.9161, max=39.9400, lng: min=116.5006, max=116.5276
[1042520][25-07-30 16:19:55.038 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:19:55.069 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:19:55.069 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:19:59.288 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0339, max=0.9707
[1042520][25-07-30 16:19:59.289 @ test_model] WARNING: Batch 77 - Values outside [0,1] in pred_x0_scaled: min=-0.0339, max=0.9707. Clamping.
[1042520][25-07-30 16:19:59.289 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:19:59.290 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748627456.0000
[1042520][25-07-30 16:19:59.290 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748541568.0000
Epoch 50 Test Progress (DDIM): 69%|██████▉ | 78/113 [07:20<03:16, 5.63s/it][1042520][25-07-30 16:20:00.635 @ test_model] INFO: Batch 78 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:00.636 @ test_model] INFO: Input data stats - abs_time: min=1748270336.0000, max=1748434432.0000, lat: min=39.9161, max=39.9397, lng: min=116.5019, max=116.5276
[1042520][25-07-30 16:20:00.637 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:00.668 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:00.668 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:04.886 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0277, max=0.9286
[1042520][25-07-30 16:20:04.886 @ test_model] WARNING: Batch 78 - Values outside [0,1] in pred_x0_scaled: min=-0.0277, max=0.9286. Clamping.
[1042520][25-07-30 16:20:04.887 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:04.887 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748517760.0000
[1042520][25-07-30 16:20:04.887 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748434432.0000
Epoch 50 Test Progress (DDIM): 70%|██████▉ | 79/113 [07:26<03:11, 5.62s/it][1042520][25-07-30 16:20:06.234 @ test_model] INFO: Batch 79 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:06.234 @ test_model] INFO: Input data stats - abs_time: min=1748432640.0000, max=1748614656.0000, lat: min=39.9161, max=39.9409, lng: min=116.5001, max=116.5276
[1042520][25-07-30 16:20:06.236 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:06.267 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:06.268 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:10.514 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0220, max=0.9979
[1042520][25-07-30 16:20:10.515 @ test_model] WARNING: Batch 79 - Values outside [0,1] in pred_x0_scaled: min=-0.0220, max=0.9979. Clamping.
[1042520][25-07-30 16:20:10.516 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:10.516 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748698240.0000
[1042520][25-07-30 16:20:10.516 @ test_model] INFO: ground_truth_np stats: min=39.9161, max=1748614656.0000
Epoch 50 Test Progress (DDIM): 71%|███████ | 80/113 [07:31<03:05, 5.62s/it][1042520][25-07-30 16:20:11.870 @ test_model] INFO: Batch 80 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:11.871 @ test_model] INFO: Input data stats - abs_time: min=1748354432.0000, max=1748714368.0000, lat: min=39.9159, max=39.9397, lng: min=116.5018, max=116.5275
[1042520][25-07-30 16:20:11.872 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:11.903 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:11.904 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:16.122 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0261, max=1.0307
[1042520][25-07-30 16:20:16.123 @ test_model] WARNING: Batch 80 - Values outside [0,1] in pred_x0_scaled: min=-0.0261, max=1.0307. Clamping.
[1042520][25-07-30 16:20:16.124 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:16.124 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:20:16.124 @ test_model] INFO: ground_truth_np stats: min=39.9159, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 72%|███████▏ | 81/113 [07:37<02:59, 5.62s/it][1042520][25-07-30 16:20:17.474 @ test_model] INFO: Batch 81 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:17.474 @ test_model] INFO: Input data stats - abs_time: min=1748366592.0000, max=1748530560.0000, lat: min=39.9151, max=39.9399, lng: min=116.5018, max=116.5275
[1042520][25-07-30 16:20:17.476 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:17.507 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:17.507 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:21.728 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0267, max=0.9643
[1042520][25-07-30 16:20:21.728 @ test_model] WARNING: Batch 81 - Values outside [0,1] in pred_x0_scaled: min=-0.0267, max=0.9643. Clamping.
[1042520][25-07-30 16:20:21.729 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:21.729 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748610944.0000
[1042520][25-07-30 16:20:21.730 @ test_model] INFO: ground_truth_np stats: min=39.9151, max=1748530560.0000
Epoch 50 Test Progress (DDIM): 73%|███████▎ | 82/113 [07:42<02:53, 5.61s/it][1042520][25-07-30 16:20:23.073 @ test_model] INFO: Batch 82 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:23.074 @ test_model] INFO: Input data stats - abs_time: min=1748528768.0000, max=1748692864.0000, lat: min=39.9169, max=39.9401, lng: min=116.5018, max=116.5292
[1042520][25-07-30 16:20:23.075 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:23.106 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:23.106 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:27.325 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0164, max=1.0286
[1042520][25-07-30 16:20:27.325 @ test_model] WARNING: Batch 82 - Values outside [0,1] in pred_x0_scaled: min=-0.0164, max=1.0286. Clamping.
[1042520][25-07-30 16:20:27.326 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:27.326 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:20:27.326 @ test_model] INFO: ground_truth_np stats: min=39.9169, max=1748692864.0000
Epoch 50 Test Progress (DDIM): 73%|███████▎ | 83/113 [07:48<02:48, 5.61s/it][1042520][25-07-30 16:20:28.672 @ test_model] INFO: Batch 83 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:28.672 @ test_model] INFO: Input data stats - abs_time: min=1748246400.0000, max=1748714368.0000, lat: min=39.9168, max=39.9397, lng: min=116.4971, max=116.5277
[1042520][25-07-30 16:20:28.673 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:28.704 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:28.704 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:32.925 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0410, max=1.0426
[1042520][25-07-30 16:20:32.926 @ test_model] WARNING: Batch 83 - Values outside [0,1] in pred_x0_scaled: min=-0.0410, max=1.0426. Clamping.
[1042520][25-07-30 16:20:32.927 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:32.927 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:20:32.927 @ test_model] INFO: ground_truth_np stats: min=39.9168, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 74%|███████▍ | 84/113 [07:54<02:42, 5.61s/it][1042520][25-07-30 16:20:34.271 @ test_model] INFO: Batch 84 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:34.271 @ test_model] INFO: Input data stats - abs_time: min=1748336768.0000, max=1748450432.0000, lat: min=39.9169, max=39.9399, lng: min=116.4970, max=116.5276
[1042520][25-07-30 16:20:34.273 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:34.304 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:34.304 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:38.523 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0233, max=0.9408
[1042520][25-07-30 16:20:38.524 @ test_model] WARNING: Batch 84 - Values outside [0,1] in pred_x0_scaled: min=-0.0233, max=0.9408. Clamping.
[1042520][25-07-30 16:20:38.525 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:38.525 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748549632.0000
[1042520][25-07-30 16:20:38.525 @ test_model] INFO: ground_truth_np stats: min=39.9169, max=1748450432.0000
Epoch 50 Test Progress (DDIM): 75%|███████▌ | 85/113 [07:59<02:36, 5.61s/it][1042520][25-07-30 16:20:39.879 @ test_model] INFO: Batch 85 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:39.879 @ test_model] INFO: Input data stats - abs_time: min=1748448640.0000, max=1748612608.0000, lat: min=39.9170, max=39.9398, lng: min=116.4972, max=116.5275
[1042520][25-07-30 16:20:39.881 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:39.912 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:39.912 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:44.136 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0207, max=0.9955
[1042520][25-07-30 16:20:44.137 @ test_model] WARNING: Batch 85 - Values outside [0,1] in pred_x0_scaled: min=-0.0207, max=0.9955. Clamping.
[1042520][25-07-30 16:20:44.138 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:44.138 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748691968.0000
[1042520][25-07-30 16:20:44.138 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748612608.0000
Epoch 50 Test Progress (DDIM): 76%|███████▌ | 86/113 [08:05<02:31, 5.61s/it][1042520][25-07-30 16:20:45.486 @ test_model] INFO: Batch 86 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:45.487 @ test_model] INFO: Input data stats - abs_time: min=1748174336.0000, max=1748714368.0000, lat: min=39.9162, max=39.9397, lng: min=116.4971, max=116.5275
[1042520][25-07-30 16:20:45.488 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:45.519 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:45.519 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:49.738 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0240, max=1.0342
[1042520][25-07-30 16:20:49.739 @ test_model] WARNING: Batch 86 - Values outside [0,1] in pred_x0_scaled: min=-0.0240, max=1.0342. Clamping.
[1042520][25-07-30 16:20:49.739 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:49.740 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:20:49.740 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 77%|███████▋ | 87/113 [08:10<02:25, 5.61s/it][1042520][25-07-30 16:20:51.089 @ test_model] INFO: Batch 87 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:51.089 @ test_model] INFO: Input data stats - abs_time: min=1748184576.0000, max=1748434944.0000, lat: min=39.9230, max=39.9395, lng: min=116.4996, max=116.5273
[1042520][25-07-30 16:20:51.091 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:51.122 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:51.122 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:20:55.348 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0548, max=0.9362
[1042520][25-07-30 16:20:55.349 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:20:55.349 @ test_model] INFO: pred_x0_np stats: min=39.9209, max=1748537600.0000
[1042520][25-07-30 16:20:55.349 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748434944.0000
Epoch 50 Test Progress (DDIM): 78%|███████▊ | 88/113 [08:16<02:20, 5.61s/it][1042520][25-07-30 16:20:56.705 @ test_model] INFO: Batch 88 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:20:56.705 @ test_model] INFO: Input data stats - abs_time: min=1748433152.0000, max=1748597248.0000, lat: min=39.9231, max=39.9396, lng: min=116.4995, max=116.5274
[1042520][25-07-30 16:20:56.706 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:20:56.737 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:20:56.737 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:00.959 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0611, max=1.0012
[1042520][25-07-30 16:21:00.959 @ test_model] WARNING: Batch 88 - Values outside [0,1] in pred_x0_scaled: min=0.0611, max=1.0012. Clamping.
[1042520][25-07-30 16:21:00.960 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:00.960 @ test_model] INFO: pred_x0_np stats: min=39.9220, max=1748703744.0000
[1042520][25-07-30 16:21:00.960 @ test_model] INFO: ground_truth_np stats: min=39.9231, max=1748597248.0000
Epoch 50 Test Progress (DDIM): 79%|███████▉ | 89/113 [08:22<02:14, 5.61s/it][1042520][25-07-30 16:21:02.305 @ test_model] INFO: Batch 89 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:02.305 @ test_model] INFO: Input data stats - abs_time: min=1748595456.0000, max=1748709120.0000, lat: min=39.9229, max=39.9398, lng: min=116.4995, max=116.5305
[1042520][25-07-30 16:21:02.306 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:02.337 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:02.337 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:06.557 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0614, max=1.0414
[1042520][25-07-30 16:21:06.557 @ test_model] WARNING: Batch 89 - Values outside [0,1] in pred_x0_scaled: min=0.0614, max=1.0414. Clamping.
[1042520][25-07-30 16:21:06.558 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:06.558 @ test_model] INFO: pred_x0_np stats: min=39.9199, max=1748703744.0000
[1042520][25-07-30 16:21:06.558 @ test_model] INFO: ground_truth_np stats: min=39.9229, max=1748709120.0000
Epoch 50 Test Progress (DDIM): 80%|███████▉ | 90/113 [08:27<02:08, 5.61s/it][1042520][25-07-30 16:21:07.912 @ test_model] INFO: Batch 90 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:07.912 @ test_model] INFO: Input data stats - abs_time: min=1748527232.0000, max=1748714368.0000, lat: min=39.9234, max=39.9406, lng: min=116.4995, max=116.5277
[1042520][25-07-30 16:21:07.913 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:07.944 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:07.944 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:12.163 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0763, max=1.0391
[1042520][25-07-30 16:21:12.163 @ test_model] WARNING: Batch 90 - Values outside [0,1] in pred_x0_scaled: min=0.0763, max=1.0391. Clamping.
[1042520][25-07-30 16:21:12.164 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:12.164 @ test_model] INFO: pred_x0_np stats: min=39.9219, max=1748703744.0000
[1042520][25-07-30 16:21:12.164 @ test_model] INFO: ground_truth_np stats: min=39.9234, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 81%|████████ | 91/113 [08:33<02:03, 5.60s/it][1042520][25-07-30 16:21:13.504 @ test_model] INFO: Batch 91 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:13.505 @ test_model] INFO: Input data stats - abs_time: min=1748163584.0000, max=1748714368.0000, lat: min=39.9202, max=39.9405, lng: min=116.4988, max=116.5276
[1042520][25-07-30 16:21:13.506 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:13.537 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:13.537 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:17.758 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0401, max=1.0351
[1042520][25-07-30 16:21:17.758 @ test_model] WARNING: Batch 91 - Values outside [0,1] in pred_x0_scaled: min=0.0401, max=1.0351. Clamping.
[1042520][25-07-30 16:21:17.759 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:17.759 @ test_model] INFO: pred_x0_np stats: min=39.9187, max=1748703744.0000
[1042520][25-07-30 16:21:17.759 @ test_model] INFO: ground_truth_np stats: min=39.9202, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 81%|████████▏ | 92/113 [08:38<01:57, 5.60s/it][1042520][25-07-30 16:21:19.100 @ test_model] INFO: Batch 92 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:19.100 @ test_model] INFO: Input data stats - abs_time: min=1748247040.0000, max=1748447104.0000, lat: min=39.9233, max=39.9414, lng: min=116.5018, max=116.5273
[1042520][25-07-30 16:21:19.101 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:19.132 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:19.132 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:23.352 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0575, max=0.9389
[1042520][25-07-30 16:21:23.353 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:23.353 @ test_model] INFO: pred_x0_np stats: min=39.9221, max=1748544640.0000
[1042520][25-07-30 16:21:23.353 @ test_model] INFO: ground_truth_np stats: min=39.9233, max=1748447104.0000
Epoch 50 Test Progress (DDIM): 82%|████████▏ | 93/113 [08:44<01:51, 5.60s/it][1042520][25-07-30 16:21:24.698 @ test_model] INFO: Batch 93 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:24.699 @ test_model] INFO: Input data stats - abs_time: min=1748445312.0000, max=1748695680.0000, lat: min=39.9249, max=39.9412, lng: min=116.5082, max=116.5284
[1042520][25-07-30 16:21:24.700 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:24.731 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:24.731 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:29.027 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.1334, max=1.0323
[1042520][25-07-30 16:21:29.027 @ test_model] WARNING: Batch 93 - Values outside [0,1] in pred_x0_scaled: min=0.1334, max=1.0323. Clamping.
[1042520][25-07-30 16:21:29.028 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:29.028 @ test_model] INFO: pred_x0_np stats: min=39.9244, max=1748703744.0000
[1042520][25-07-30 16:21:29.028 @ test_model] INFO: ground_truth_np stats: min=39.9249, max=1748695680.0000
Epoch 50 Test Progress (DDIM): 83%|████████▎ | 94/113 [08:50<01:46, 5.62s/it][1042520][25-07-30 16:21:30.369 @ test_model] INFO: Batch 94 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:30.369 @ test_model] INFO: Input data stats - abs_time: min=1747756800.0000, max=1748714368.0000, lat: min=39.9134, max=39.9400, lng: min=116.4906, max=116.5296
[1042520][25-07-30 16:21:30.371 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:30.402 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:30.402 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:34.621 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0693, max=1.0318
[1042520][25-07-30 16:21:34.621 @ test_model] WARNING: Batch 94 - Values outside [0,1] in pred_x0_scaled: min=-0.0693, max=1.0318. Clamping.
[1042520][25-07-30 16:21:34.622 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:34.623 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:21:34.623 @ test_model] INFO: ground_truth_np stats: min=39.9134, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 84%|████████▍ | 95/113 [08:55<01:41, 5.62s/it][1042520][25-07-30 16:21:35.976 @ test_model] INFO: Batch 95 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:35.977 @ test_model] INFO: Input data stats - abs_time: min=1747936384.0000, max=1748687232.0000, lat: min=39.9207, max=39.9408, lng: min=116.5017, max=116.5295
[1042520][25-07-30 16:21:35.978 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:36.009 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:36.009 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:40.238 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0613, max=1.0275
[1042520][25-07-30 16:21:40.239 @ test_model] WARNING: Batch 95 - Values outside [0,1] in pred_x0_scaled: min=0.0613, max=1.0275. Clamping.
[1042520][25-07-30 16:21:40.240 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:40.240 @ test_model] INFO: pred_x0_np stats: min=39.9199, max=1748703744.0000
[1042520][25-07-30 16:21:40.240 @ test_model] INFO: ground_truth_np stats: min=39.9207, max=1748687232.0000
Epoch 50 Test Progress (DDIM): 85%|████████▍ | 96/113 [09:01<01:35, 5.63s/it][1042520][25-07-30 16:21:41.647 @ test_model] INFO: Batch 96 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:41.647 @ test_model] INFO: Input data stats - abs_time: min=1748181632.0000, max=1748714368.0000, lat: min=39.9230, max=39.9413, lng: min=116.4905, max=116.5275
[1042520][25-07-30 16:21:41.648 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:41.679 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:41.680 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:45.898 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0320, max=1.0375
[1042520][25-07-30 16:21:45.898 @ test_model] WARNING: Batch 96 - Values outside [0,1] in pred_x0_scaled: min=0.0320, max=1.0375. Clamping.
[1042520][25-07-30 16:21:45.899 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:45.900 @ test_model] INFO: pred_x0_np stats: min=39.9198, max=1748703744.0000
[1042520][25-07-30 16:21:45.900 @ test_model] INFO: ground_truth_np stats: min=39.9230, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 86%|████████▌ | 97/113 [09:07<01:29, 5.62s/it][1042520][25-07-30 16:21:47.240 @ test_model] INFO: Batch 97 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:47.240 @ test_model] INFO: Input data stats - abs_time: min=1748266368.0000, max=1748516864.0000, lat: min=39.9227, max=39.9399, lng: min=116.4901, max=116.5275
[1042520][25-07-30 16:21:47.241 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:47.272 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:47.272 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:51.492 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0318, max=0.9626
[1042520][25-07-30 16:21:51.493 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:51.493 @ test_model] INFO: pred_x0_np stats: min=39.9208, max=1748606464.0000
[1042520][25-07-30 16:21:51.493 @ test_model] INFO: ground_truth_np stats: min=39.9227, max=1748516864.0000
Epoch 50 Test Progress (DDIM): 87%|████████▋ | 98/113 [09:12<01:24, 5.64s/it][1042520][25-07-30 16:21:52.936 @ test_model] INFO: Batch 98 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:52.937 @ test_model] INFO: Input data stats - abs_time: min=1748001536.0000, max=1748714368.0000, lat: min=39.9206, max=39.9412, lng: min=116.4899, max=116.5276
[1042520][25-07-30 16:21:52.938 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:52.969 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:52.969 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:21:57.189 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0288, max=1.0376
[1042520][25-07-30 16:21:57.189 @ test_model] WARNING: Batch 98 - Values outside [0,1] in pred_x0_scaled: min=0.0288, max=1.0376. Clamping.
[1042520][25-07-30 16:21:57.190 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:21:57.190 @ test_model] INFO: pred_x0_np stats: min=39.9197, max=1748703744.0000
[1042520][25-07-30 16:21:57.191 @ test_model] INFO: ground_truth_np stats: min=39.9206, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 88%|████████▊ | 99/113 [09:18<01:18, 5.63s/it][1042520][25-07-30 16:21:58.533 @ test_model] INFO: Batch 99 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:21:58.533 @ test_model] INFO: Input data stats - abs_time: min=1748002304.0000, max=1748166400.0000, lat: min=39.9170, max=39.9396, lng: min=116.5019, max=116.5275
[1042520][25-07-30 16:21:58.534 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:21:58.565 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:21:58.565 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:02.784 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0147, max=0.8292
[1042520][25-07-30 16:22:02.784 @ test_model] WARNING: Batch 99 - Values outside [0,1] in pred_x0_scaled: min=-0.0147, max=0.8292. Clamping.
[1042520][25-07-30 16:22:02.785 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:02.785 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748259200.0000
[1042520][25-07-30 16:22:02.785 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748166400.0000
Epoch 50 Test Progress (DDIM): 88%|████████▊ | 100/113 [09:24<01:13, 5.62s/it][1042520][25-07-30 16:22:04.125 @ test_model] INFO: Batch 100 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:04.126 @ test_model] INFO: Input data stats - abs_time: min=1748164608.0000, max=1748346624.0000, lat: min=39.9171, max=39.9397, lng: min=116.5024, max=116.5275
[1042520][25-07-30 16:22:04.127 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:04.158 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:04.158 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:08.374 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0225, max=0.8990
[1042520][25-07-30 16:22:08.374 @ test_model] WARNING: Batch 100 - Values outside [0,1] in pred_x0_scaled: min=-0.0225, max=0.8990. Clamping.
[1042520][25-07-30 16:22:08.375 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:08.375 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748440960.0000
[1042520][25-07-30 16:22:08.375 @ test_model] INFO: ground_truth_np stats: min=39.9171, max=1748346624.0000
Epoch 50 Test Progress (DDIM): 89%|████████▉ | 101/113 [09:29<01:07, 5.61s/it][1042520][25-07-30 16:22:09.718 @ test_model] INFO: Batch 101 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:09.719 @ test_model] INFO: Input data stats - abs_time: min=1748253568.0000, max=1748714368.0000, lat: min=39.9170, max=39.9398, lng: min=116.4992, max=116.5274
[1042520][25-07-30 16:22:09.720 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:09.751 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:09.751 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:14.048 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0274, max=1.0363
[1042520][25-07-30 16:22:14.049 @ test_model] WARNING: Batch 101 - Values outside [0,1] in pred_x0_scaled: min=-0.0274, max=1.0363. Clamping.
[1042520][25-07-30 16:22:14.050 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:14.050 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:22:14.050 @ test_model] INFO: ground_truth_np stats: min=39.9170, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 90%|█████████ | 102/113 [09:35<01:01, 5.63s/it][1042520][25-07-30 16:22:15.393 @ test_model] INFO: Batch 102 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:15.393 @ test_model] INFO: Input data stats - abs_time: min=1748256896.0000, max=1748507392.0000, lat: min=39.9312, max=39.9402, lng: min=116.4987, max=116.5273
[1042520][25-07-30 16:22:15.395 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:15.426 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:15.426 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:19.643 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0658, max=0.9438
[1042520][25-07-30 16:22:19.644 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:19.644 @ test_model] INFO: pred_x0_np stats: min=39.9288, max=1748557440.0000
[1042520][25-07-30 16:22:19.644 @ test_model] INFO: ground_truth_np stats: min=39.9312, max=1748507392.0000
Epoch 50 Test Progress (DDIM): 91%|█████████ | 103/113 [09:40<00:56, 5.62s/it][1042520][25-07-30 16:22:20.987 @ test_model] INFO: Batch 103 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:20.987 @ test_model] INFO: Input data stats - abs_time: min=1748422784.0000, max=1748696320.0000, lat: min=39.9211, max=39.9397, lng: min=116.4969, max=116.5275
[1042520][25-07-30 16:22:20.988 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:21.019 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:21.019 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:25.394 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0488, max=1.0308
[1042520][25-07-30 16:22:25.395 @ test_model] WARNING: Batch 103 - Values outside [0,1] in pred_x0_scaled: min=0.0488, max=1.0308. Clamping.
[1042520][25-07-30 16:22:25.395 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:25.396 @ test_model] INFO: pred_x0_np stats: min=39.9192, max=1748703744.0000
[1042520][25-07-30 16:22:25.396 @ test_model] INFO: ground_truth_np stats: min=39.9211, max=1748696320.0000
Epoch 50 Test Progress (DDIM): 92%|█████████▏| 104/113 [09:46<00:50, 5.66s/it][1042520][25-07-30 16:22:26.735 @ test_model] INFO: Batch 104 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:26.736 @ test_model] INFO: Input data stats - abs_time: min=1748432000.0000, max=1748596096.0000, lat: min=39.9200, max=39.9399, lng: min=116.4939, max=116.5275
[1042520][25-07-30 16:22:26.737 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:26.768 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:26.768 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:30.986 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0428, max=0.9891
[1042520][25-07-30 16:22:30.987 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:30.987 @ test_model] INFO: pred_x0_np stats: min=39.9188, max=1748675328.0000
[1042520][25-07-30 16:22:30.987 @ test_model] INFO: ground_truth_np stats: min=39.9200, max=1748596096.0000
Epoch 50 Test Progress (DDIM): 93%|█████████▎| 105/113 [09:52<00:45, 5.64s/it][1042520][25-07-30 16:22:32.330 @ test_model] INFO: Batch 105 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:32.330 @ test_model] INFO: Input data stats - abs_time: min=1748594304.0000, max=1748707968.0000, lat: min=39.9204, max=39.9401, lng: min=116.4965, max=116.5287
[1042520][25-07-30 16:22:32.331 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:32.362 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:32.362 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:36.581 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0361, max=1.0380
[1042520][25-07-30 16:22:36.581 @ test_model] WARNING: Batch 105 - Values outside [0,1] in pred_x0_scaled: min=0.0361, max=1.0380. Clamping.
[1042520][25-07-30 16:22:36.582 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:36.582 @ test_model] INFO: pred_x0_np stats: min=39.9184, max=1748703744.0000
[1042520][25-07-30 16:22:36.582 @ test_model] INFO: ground_truth_np stats: min=39.9204, max=1748707968.0000
Epoch 50 Test Progress (DDIM): 94%|█████████▍| 106/113 [09:57<00:39, 5.63s/it][1042520][25-07-30 16:22:37.925 @ test_model] INFO: Batch 106 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:37.925 @ test_model] INFO: Input data stats - abs_time: min=1748249984.0000, max=1748714368.0000, lat: min=39.9215, max=39.9398, lng: min=116.4956, max=116.5275
[1042520][25-07-30 16:22:37.927 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:37.958 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:37.958 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:42.181 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0526, max=1.0357
[1042520][25-07-30 16:22:42.181 @ test_model] WARNING: Batch 106 - Values outside [0,1] in pred_x0_scaled: min=0.0526, max=1.0357. Clamping.
[1042520][25-07-30 16:22:42.182 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:42.182 @ test_model] INFO: pred_x0_np stats: min=39.9194, max=1748703744.0000
[1042520][25-07-30 16:22:42.182 @ test_model] INFO: ground_truth_np stats: min=39.9215, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 95%|█████████▍| 107/113 [10:03<00:33, 5.62s/it][1042520][25-07-30 16:22:43.523 @ test_model] INFO: Batch 107 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:43.523 @ test_model] INFO: Input data stats - abs_time: min=1748258304.0000, max=1748422400.0000, lat: min=39.9269, max=39.9400, lng: min=116.5017, max=116.5277
[1042520][25-07-30 16:22:43.524 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:43.555 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:43.556 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:47.875 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0701, max=0.9199
[1042520][25-07-30 16:22:47.876 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:47.877 @ test_model] INFO: pred_x0_np stats: min=39.9246, max=1748495232.0000
[1042520][25-07-30 16:22:47.877 @ test_model] INFO: ground_truth_np stats: min=39.9269, max=1748422400.0000
Epoch 50 Test Progress (DDIM): 96%|█████████▌| 108/113 [10:09<00:28, 5.64s/it][1042520][25-07-30 16:22:49.214 @ test_model] INFO: Batch 108 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:49.214 @ test_model] INFO: Input data stats - abs_time: min=1748420608.0000, max=1748534272.0000, lat: min=39.9215, max=39.9402, lng: min=116.5014, max=116.5277
[1042520][25-07-30 16:22:49.216 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:49.247 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:49.247 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:53.464 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0006, max=0.9812
[1042520][25-07-30 16:22:53.464 @ test_model] WARNING: Batch 108 - Values outside [0,1] in pred_x0_scaled: min=-0.0006, max=0.9812. Clamping.
[1042520][25-07-30 16:22:53.465 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:53.465 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748654720.0000
[1042520][25-07-30 16:22:53.465 @ test_model] INFO: ground_truth_np stats: min=39.9215, max=1748534272.0000
Epoch 50 Test Progress (DDIM): 96%|█████████▋| 109/113 [10:14<00:22, 5.63s/it][1042520][25-07-30 16:22:54.813 @ test_model] INFO: Batch 109 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:22:54.813 @ test_model] INFO: Input data stats - abs_time: min=1748347136.0000, max=1748696320.0000, lat: min=39.9162, max=39.9400, lng: min=116.5018, max=116.5275
[1042520][25-07-30 16:22:54.815 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:22:54.845 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:22:54.846 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:22:59.065 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=0.0063, max=1.0344
[1042520][25-07-30 16:22:59.066 @ test_model] WARNING: Batch 109 - Values outside [0,1] in pred_x0_scaled: min=0.0063, max=1.0344. Clamping.
[1042520][25-07-30 16:22:59.066 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:22:59.067 @ test_model] INFO: pred_x0_np stats: min=39.9167, max=1748703744.0000
[1042520][25-07-30 16:22:59.067 @ test_model] INFO: ground_truth_np stats: min=39.9162, max=1748696320.0000
Epoch 50 Test Progress (DDIM): 97%|█████████▋| 110/113 [10:20<00:16, 5.62s/it][1042520][25-07-30 16:23:00.410 @ test_model] INFO: Batch 110 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:23:00.410 @ test_model] INFO: Input data stats - abs_time: min=1748347264.0000, max=1748511360.0000, lat: min=39.9152, max=39.9413, lng: min=116.4942, max=116.5276
[1042520][25-07-30 16:23:00.411 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:23:00.442 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:23:00.442 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:23:04.660 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0386, max=0.9578
[1042520][25-07-30 16:23:04.660 @ test_model] WARNING: Batch 110 - Values outside [0,1] in pred_x0_scaled: min=-0.0386, max=0.9578. Clamping.
[1042520][25-07-30 16:23:04.661 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:23:04.661 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748593920.0000
[1042520][25-07-30 16:23:04.662 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748511360.0000
Epoch 50 Test Progress (DDIM): 98%|█████████▊| 111/113 [10:25<00:11, 5.61s/it][1042520][25-07-30 16:23:06.007 @ test_model] INFO: Batch 111 - Input shapes: abs_time torch.Size([1024, 32]), lat torch.Size([1024, 32]), lng torch.Size([1024, 32])
[1042520][25-07-30 16:23:06.007 @ test_model] INFO: Input data stats - abs_time: min=1748509568.0000, max=1748623232.0000, lat: min=39.9153, max=39.9414, lng: min=116.4942, max=116.5276
[1042520][25-07-30 16:23:06.009 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:23:06.040 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:23:06.040 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([1024, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([1024, 3, 32]), matched prototypes shape: torch.Size([1024, 512])
[1042520][25-07-30 16:23:10.260 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0587, max=0.9963
[1042520][25-07-30 16:23:10.261 @ test_model] WARNING: Batch 111 - Values outside [0,1] in pred_x0_scaled: min=-0.0587, max=0.9963. Clamping.
[1042520][25-07-30 16:23:10.262 @ test_model] INFO: Shapes for metrics: pred_x0_np (1024, 32, 3), ground_truth_np (1024, 32, 3)
[1042520][25-07-30 16:23:10.262 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748694016.0000
[1042520][25-07-30 16:23:10.262 @ test_model] INFO: ground_truth_np stats: min=39.9153, max=1748623232.0000
Epoch 50 Test Progress (DDIM): 99%|█████████▉| 112/113 [10:31<00:05, 5.61s/it][1042520][25-07-30 16:23:11.603 @ test_model] INFO: Batch 112 - Input shapes: abs_time torch.Size([679, 32]), lat torch.Size([679, 32]), lng torch.Size([679, 32])
[1042520][25-07-30 16:23:11.603 @ test_model] INFO: Input data stats - abs_time: min=1748621440.0000, max=1748714368.0000, lat: min=39.9152, max=39.9396, lng: min=116.4942, max=116.5276
[1042520][25-07-30 16:23:11.605 @ test_model] INFO: Scaler min: [1.74610035e+09 3.99162788e+01 1.16484955e+02], max: [1.7487037e+09 3.9975475e+01 1.1661810e+02]
[1042520][25-07-30 16:23:11.626 @ test_model] INFO: Sampling with type: ddim, DDIM steps: 50, eta: 0.0
[1042520][25-07-30 16:23:11.626 @ test_model] INFO: Input to diffusion model (testx_scaled_permuted) shape: torch.Size([679, 3, 32]), masked condition (masked_condition_permuted) shape: torch.Size([679, 3, 32]), matched prototypes shape: torch.Size([679, 512])
[1042520][25-07-30 16:23:14.656 @ test_model] INFO: pred_x0_scaled_unpermuted stats before inverse_transform: min=-0.0329, max=1.0307
[1042520][25-07-30 16:23:14.657 @ test_model] WARNING: Batch 112 - Values outside [0,1] in pred_x0_scaled: min=-0.0329, max=1.0307. Clamping.
[1042520][25-07-30 16:23:14.658 @ test_model] INFO: Shapes for metrics: pred_x0_np (679, 32, 3), ground_truth_np (679, 32, 3)
[1042520][25-07-30 16:23:14.658 @ test_model] INFO: pred_x0_np stats: min=39.9163, max=1748703744.0000
[1042520][25-07-30 16:23:14.658 @ test_model] INFO: ground_truth_np stats: min=39.9152, max=1748714368.0000
Epoch 50 Test Progress (DDIM): 100%|██████████| 113/113 [10:35<00:00, 5.11s/it]
Epoch 50 Test Progress (DDIM): 100%|██████████| 113/113 [10:35<00:00, 5.62s/it]
[1042520][25-07-30 16:23:15.647 @ test_model] INFO: --- Test Results for Epoch 50 (DDIM) ---
[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MTD: 253.9276
[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MPPE: 253.9276
[1042520][25-07-30 16:23:15.647 @ test_model] INFO: Mean MAEPP (time): 23648.5312
[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean MAEPS (time): 23648.5312
[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean AVG_TC: 0.9923
[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Overall MaxTD: 12674.0975
[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean TC@1000: 0.9482
[1042520][25-07-30 16:23:15.648 @ test_model] INFO: Mean TC@2000: 0.9823
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@3000: 0.9954
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@4000: 0.9983
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@5000: 0.9996
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@6000: 0.9997
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@7000: 0.9998
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@8000: 0.9998
[1042520][25-07-30 16:23:15.649 @ test_model] INFO: Mean TC@9000: 0.9999
[1042520][25-07-30 16:23:15.650 @ test_model] INFO: Mean TC@10000: 0.9999
[1042520][25-07-30 16:23:15.650 @ test_model] INFO: DDIM sampling with 50 steps, eta: 0.00
[1042520][25-07-30 16:23:15.655 @ test_model] INFO: Saved test metrics to /root/ProDiff/Experiments/trajectory_a40_turbo_optimized_test_TKY_temporal_len32_ddim_20250730-161239/results
[1042520][25-07-30 16:23:15.655 @ main] INFO: Main script execution finished.
=====================================
✅ 模型测试成功完成！
完成时间: Wed Jul 30 16:23:16 UTC 2025
=====================================
📊 测试结果已保存到:
日志文件: ./test_logs/test_trajectory_a40_turbo_optimized_epoch50_20250730_161237.log
结果目录: ./Experiments/trajectory_a40_turbo_optimized_TKY_temporal_len32_ddim_20250730-093850/results/
📈 查看测试指标:
MTD (平均轨迹距离): 衡量生成轨迹的空间精度
MPPE (平均位置预测误差): 衡量位置预测准确性
TC@X (轨迹覆盖率): 在X米阈值内的预测准确率
|