python_code stringlengths 0 4.04M | repo_name stringlengths 7 58 | file_path stringlengths 5 147 |
|---|---|---|
import os
import sys
header = """Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
def prefixed_header(prefix):
return [ prefix + l + "\n" for l in header.split("\n")]
filename... | CollaQ-main | header.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import copy
from components.episode_buffer import EpisodeBatch
from modules.mixers.vdn import VDNMixer
from modules.mixers.q... | CollaQ-main | src_code/learners/q_explore_learner.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import copy
from components.episode_buffer import EpisodeBatch
from modules.mixers.vdn import VDNMixer
from modules.mixers.q... | CollaQ-main | src_code/learners/q_influence_learner.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import copy
from components.episode_buffer import EpisodeBatch
from modules.mixers.vdn import VDNMixer
from modules.mixers.q... | CollaQ-main | src_code/learners/q_interactive_learner.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import torch.nn.functional as F
import torch as th
class ScaledDotProductAttention(nn.Module):
'... | CollaQ-main | src_code/modules/rnn_interactive_agent.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from modules.agents import REGISTRY as agent_REGISTRY
from components.action_selectors import REGISTRY as action_REGISTRY
im... | CollaQ-main | src_code/controllers/basic_controller_interactive.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# from modules.agents import REGISTRY as agent_REGISTRY
# from components.action_selectors import REGISTRY as action_REGISTR... | CollaQ-main | src_code/controllers/basic_controller_influence.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import find_packages, setup
setup(
name='animated_drawings',
description="Companion code for `A Method For Automatica... | AnimatedDrawings-main | setup.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.vectors import Vectors
import numpy as np
def test_initialize_with_tuple_or_list1():
v1 = Vectors((0, 1, 2)... | AnimatedDrawings-main | tests/test_vectors.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.bvh import BVH
from pkg_resources import resource_filename
def test_bvh_from_file():
bvh_fn = resource_file... | AnimatedDrawings-main | tests/test_bvh.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from animated_drawings.model.arap import ARAP, plot_mesh
def test_single_triangle_mesh():
show_plots = False # Make ... | AnimatedDrawings-main | tests/test_arap.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.quaternions import Quaternions
from animated_drawings.model.vectors import Vectors
import numpy as np
def test_... | AnimatedDrawings-main | tests/test_quaternions.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.animated_drawing import AnimatedDrawing
from animated_drawings.config import Config
from pkg_resources import res... | AnimatedDrawings-main | tests/test_animated_drawing.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings import render
from pkg_resources import resource_filename
import os
import pytest
@pytest.mark.skipif(os.environ.get(... | AnimatedDrawings-main | tests/test_render.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.transform import Transform
from animated_drawings.model.quaternions import Quaternions
import numpy as np
def t... | AnimatedDrawings-main | tests/test_transforms.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from image_to_annotations import image_to_annotations
from annotations_to_animation import annotations_to_animation
from pathlib import Path
i... | AnimatedDrawings-main | examples/image_to_animation.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import animated_drawings.render
import logging
from pathlib import Path
import sys
import yaml
from pkg_resources import resource_filename
d... | AnimatedDrawings-main | examples/annotations_to_animation.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import base64
from flask import Flask, render_template, request
import json
import os
import sys
import yaml
global cfg_path
... | AnimatedDrawings-main | examples/fix_annotations.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
import requests
import cv2
import json
import numpy as np
from skimage import measure
from scipy import ndimage
from pathlib import... | AnimatedDrawings-main | examples/image_to_annotations.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import logging
from collections import defaultdict
from pathlib import Path
from typing import Union, List,... | AnimatedDrawings-main | animated_drawings/config.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import sys
def start(user_mvc_cfg_fn: str):
# build cfg
from animated_drawings.config import Config
cfg: Config ... | AnimatedDrawings-main | animated_drawings/render.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| AnimatedDrawings-main | animated_drawings/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from PIL import Image, ImageOps
import numpy as np
import numpy.typing as npt
import cv2
from pathlib import Path
import logging
from pkg_reso... | AnimatedDrawings-main | animated_drawings/utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
""" Controller Abstract Base Class Module """
from __future__ import annotations
from typing import Optional
from abc import abstractmethod
i... | AnimatedDrawings-main | animated_drawings/controller/controller.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
""" Interactive Controller Class Module """
import time
from typing import Optional
import glfw
from animated_drawings.controller.controller... | AnimatedDrawings-main | animated_drawings/controller/interactive_controller.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
""" Video Render Controller Class Module """
from __future__ import annotations
import time
import logging
from typing import List
from pathl... | AnimatedDrawings-main | animated_drawings/controller/video_render_controller.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations # so we can refer to class Type inside class
import numpy as np
import numpy.typing as npt
import logging
... | AnimatedDrawings-main | animated_drawings/model/vectors.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import OpenGL.GL as GL
import ctypes
from animated_drawings.model.transform import Transform
class Box(Transform):
d... | AnimatedDrawings-main | animated_drawings/model/box.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations # so we can refer to class Type inside class
import numpy as np
import numpy.typing as npt
import logging
... | AnimatedDrawings-main | animated_drawings/model/quaternions.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import ctypes
import heapq
import math
import time
from typing import Dict, List, Tuple, Optional, TypedDict, DefaultDict
from ... | AnimatedDrawings-main | animated_drawings/model/animated_drawing.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations # so we can refer to class Type inside class
import logging
from pathlib import Path
from typing import Li... | AnimatedDrawings-main | animated_drawings/model/bvh.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.transform import Transform
from animated_drawings.model.time_manager import TimeManager
from animated_drawings.co... | AnimatedDrawings-main | animated_drawings/model/scene.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.rectangle import Rectangle
from animated_drawings.model.transform import Transform
import numpy as np
class Flo... | AnimatedDrawings-main | animated_drawings/model/floor.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.transform import Transform
import numpy as np
import numpy.typing as npt
import OpenGL.GL as GL
import ctypes
c... | AnimatedDrawings-main | animated_drawings/model/transform_widget.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import numpy.typing as npt
from collections import defaultdict
import logging
from typing import List, Dict, Set, Tuple
imp... | AnimatedDrawings-main | animated_drawings/model/arap.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
from abc import abstractmethod
class TimeManager():
""" Mixin class designed to be used by objects that must... | AnimatedDrawings-main | animated_drawings/model/time_manager.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.model.transform import Transform
from animated_drawings.model.vectors import Vectors
from typing import Union, List
c... | AnimatedDrawings-main | animated_drawings/model/camera.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations # so we can refer to class Type inside class
import numpy as np
import numpy.typing as npt
from animated_d... | AnimatedDrawings-main | animated_drawings/model/transform.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import OpenGL.GL as GL
from animated_drawings.model.transform import Transform
import ctypes
class Rectangle(Transform):
... | AnimatedDrawings-main | animated_drawings/model/rectangle.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from animated_drawings.model.transform import Transform
from typing import List
class Joint(Transform):
... | AnimatedDrawings-main | animated_drawings/model/joint.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from animated_drawings.model.bvh import BVH
import numpy as np
import numpy.typing as npt
import math
from animated_drawings.mo... | AnimatedDrawings-main | animated_drawings/model/retargeter.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from animated_drawings.view.view import View
from animated_drawings.view.shaders.shader import Shader
from animated_drawings.view.utils import... | AnimatedDrawings-main | animated_drawings/view/window_view.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from abc import abstractmethod
from typing import Tuple
from animated_drawings.config import ViewConfig
c... | AnimatedDrawings-main | animated_drawings/view/view.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import numpy.typing as npt
import logging
def get_projection_matrix(buffer_w: int, buffer_h: int, type_: str = 'perspecti... | AnimatedDrawings-main | animated_drawings/view/utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
os.environ['PYOPENGL_PLATFORM'] = "osmesa"
os.environ['MESA_GL_VERSION_OVERRIDE'] = "3.3"
from OpenGL import GL, osmesa
from animat... | AnimatedDrawings-main | animated_drawings/view/mesa_view.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import OpenGL.GL as GL
import logging
class Shader:
"""Class to create shader programs"""
@staticmethod
def _compile_shader(src... | AnimatedDrawings-main | animated_drawings/view/shaders/shader.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import os
import argparse
from src.dataset import BinauralDataset
from src.models import BinauralNetwork
from src.trainer i... | BinauralSpeechSynthesis-main | train.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import os
import argparse
import numpy as np
import torch as th
import torchaudio as ta
from src.models import BinauralNetw... | BinauralSpeechSynthesis-main | evaluate.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch as th
import torch.nn as nn
import torch.nn.functional as F
class TimeWarperFunction(th.autograd.Function):
... | BinauralSpeechSynthesis-main | src/warping.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import numpy as np
import scipy.linalg
from scipy.spatial.transform import Rotation as R
import torch as th
import torch.nn ... | BinauralSpeechSynthesis-main | src/models.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import tqdm
import torchaudio as ta
import numpy as np
class BinauralDataset:
'''
dataset_directory: (str) base d... | BinauralSpeechSynthesis-main | src/dataset.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import numpy as np
import torch as th
import torch.nn as nn
import torch.nn.functional as F
class HyperConv(nn.Module):
... | BinauralSpeechSynthesis-main | src/hyperconv.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import numpy as np
import torch as th
import torchaudio as ta
class Net(th.nn.Module):
def __init__(self, model_name=... | BinauralSpeechSynthesis-main | src/utils.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import numpy as np
import torch as th
from src.utils import FourierTransform
class Loss(th.nn.Module):
def __init__(se... | BinauralSpeechSynthesis-main | src/losses.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import tqdm
import time
import torch as th
from torch.utils.data import DataLoader
from src.utils import NewbobAdam
from sr... | BinauralSpeechSynthesis-main | src/trainer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import torch
from torch import nn
from torch.nn import functional as F
class AdaptiveEmbedding(... | adaptive-span-main | adaptive_io.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
# command-line arguments with their default values
PARAMS_CONFIG = {
# env-specific
'env... | adaptive-span-main | config.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class AdaptiveM... | adaptive-span-main | adaptive_span.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from adaptive_sp... | adaptive-span-main | models.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import os
import math
import argparse
import torch
from adagrad_with_grad_clip import AdagradWit... | adaptive-span-main | utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import math
import random
import torch
def _train_step(model, X, Y, h_cache, eval_only, loss_... | adaptive-span-main | trainer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
from argparse import Namespace
import math
import random
import torch
import torch.nn as nn
impor... | adaptive-span-main | persistent_memory.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import math
import time
import torch
from config import PARAMS_CONFIG
from data import get_trai... | adaptive-span-main | main.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
import os
import torch
class Dictionary(object):
def __init__(self, path, sort_dict=False):... | adaptive-span-main | data.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
from torch.optim import Adagrad
def _clip_grad(clr, grad, group_grad_clip):
if group_grad_c... | adaptive-span-main | adagrad_with_grad_clip.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import html
import json
import os
import re
from lxml import etree
def extract_text(input_text, keep_mar... | CCQA-main | python/closed_book_processing.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import html
import json
import multiprocessing
import os
import time
import uuid
im... | CCQA-main | python/mhtml_to_json.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import html
import json
import argparse
import os
import random
import re
import time
from lxml import etree
def extract... | CCQA-main | python/passage_retrieval_processing.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import html
import json
import re
import string
from lxml import etree
def extract_text(inpu... | CCQA-main | python/json_duplicate_filter.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import gzip
import itertools
import json
import logging
import os.path as osp
import time
import hydra
import pandas as pd
from omegaconf import DictConfig
from tqdm import tqdm
import numpy as np
logger = logging.getLogger(__na... | cycle_gan_for_complementary_item_recommendations-main | src/main_process_meta.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os
import os.path as osp
import time
import types
import hydra
import pandas as pd
import torch
import torchvision.models as models
from omegaconf import DictConfig
from torch import Tensor
from torch.utils.d... | cycle_gan_for_complementary_item_recommendations-main | src/main_create_embeddings.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import json
import logging
import os
from os.path import join as osj
from time import time
import hydra
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pytorch_lightning as pl
import torch
from omega... | cycle_gan_for_complementary_item_recommendations-main | src/main_inference_most_pop.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os.path as osp
import random
import pandas as pd
import torch
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
logger = logging.getLogger(__name__)
def load_df... | cycle_gan_for_complementary_item_recommendations-main | src/dataset_utils.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import json
import logging
import pandas as pd
import torch
from sklearn.metrics import ndcg_score
from tqdm import tqdm
import numpy as np
from lit.eval_utils import calc_topk
from os.path import join as osj
from dataset_utils i... | cycle_gan_for_complementary_item_recommendations-main | src/inferece_utils.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os
import os.path as osp
import time
import hydra
import numpy as np
import pandas as pd
import pytorch_lightning as pl
from omegaconf import DictConfig
from sklearn.model_selection import train_test_split
f... | cycle_gan_for_complementary_item_recommendations-main | src/main_create_train_test_set.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os
import os.path as osp
import time
import hydra
import pandas as pd
import pytorch_lightning as pl
import torch
import torch.nn.functional as F
import wandb
from omegaconf import DictConfig, OmegaConf
from... | cycle_gan_for_complementary_item_recommendations-main | src/main_execute_train_calssifier.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import itertools
import logging
import os
import os.path as osp
from os.path import join as osj
from time import time
import hydra
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from omegaconf import ... | cycle_gan_for_complementary_item_recommendations-main | src/main_inference_gan.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os
import os.path as osp
from time import time
import hydra
import pytorch_lightning as pl
import torch
import wandb
from omegaconf import DictConfig, OmegaConf
from pytorch_lightning.callbacks import Learnin... | cycle_gan_for_complementary_item_recommendations-main | src/main_execute_train.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import itertools
import logging
import os
import os.path as osp
from os.path import join as osj
from time import time
import hydra
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from omegaconf import ... | cycle_gan_for_complementary_item_recommendations-main | src/main_inference_dcf.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import os
import os.path as osp
import time
import urllib.request
import hydra
import pandas as pd
from omegaconf import DictConfig
from tqdm import tqdm
from main_process_meta import reduce_to_closed_set, verify_c... | cycle_gan_for_complementary_item_recommendations-main | src/main_download_imgs.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import itertools
import logging
import os
import os.path as osp
from os.path import join as osj
from time import time
import hydra
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from omegaconf import ... | cycle_gan_for_complementary_item_recommendations-main | src/main_inference_pcomp.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import time
from os.path import join as osj
from time import time
from itertools import chain
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from sklearn.metrics import ndcg_score
from ... | cycle_gan_for_complementary_item_recommendations-main | src/lit/lit_utils.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import pytorch_lightning as pl
import torch
from torch import nn, optim
logger = logging.getLogger(__name__)
class LitImgClassifier(pl.LightningModule):
def __init__(self, input_dim, num_classes, cfg):
... | cycle_gan_for_complementary_item_recommendations-main | src/lit/lit_img_classifier.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import time
from os.path import join as osj
from time import time
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from sklearn.metrics import ndcg_score
from torch import nn, optim
from ... | cycle_gan_for_complementary_item_recommendations-main | src/lit/lit_pcomp.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import numpy as np
import torch
import pandas as pd
from os.path import join as osj
logger = logging.getLogger(__name__)
def generate_test_set_hot_labels(
asin_src_test: np.ndarray,
category_pos_test: np... | cycle_gan_for_complementary_item_recommendations-main | src/lit/eval_utils.py |
# Copyright (c) 2015-present, Meta Platforms, Inc. and affiliates.
# All rights reserved.
import logging
import time
from os.path import join as osj
from time import time
import numpy as np
import pytorch_lightning as pl
import torch
import wandb
from sklearn.metrics import ndcg_score
from torch import nn, optim
from... | cycle_gan_for_complementary_item_recommendations-main | src/lit/lit_dcf.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
class FastGradConv2dFunction(torch.autograd.Function)... | certified-removal-main | fast_grad_conv.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import print_function
import argparse
import math
import time
import numpy as np
import torch
import torch... | certified-removal-main | test_removal.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
class Extractor(nn.Module):
def __init__(self, nu... | certified-removal-main | models.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torchvision
import torchvision.transforms as transforms
import numpy as np
import torch.nn as nn
impor... | certified-removal-main | train_svhn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fast_grad_conv import FastGradConv2d
class FastG... | certified-removal-main | fast_grad_models.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import math
import os
import sys
from fast_grad.goodfellow_backprop import goodfellow_backprop
from torchvisi... | certified-removal-main | utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
from tra... | certified-removal-main | test_func.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn.functional as F
import math
from utils import per_example_gradient, clip_and_sum_gradients, a... | certified-removal-main | train_func.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn.functional as F
import pdb #debugging
from goodfellow_backprop import goodfellow_backprop
d... | certified-removal-main | fast_grad/gradient_funcs.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import pdb #debugging
def goodfellow_backprop(activations, linearGrads):
grads = []
for i in range(len(lin... | certified-removal-main | fast_grad/goodfellow_backprop.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pdb
import helpers
from gradient_funcs import full, goodfellow, naive
def runWith(N, D, L):
X, y, model = helpers... | certified-removal-main | fast_grad/main.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
from time import time
from torch.nn.utils import parameters_to_vector, vector_to_parameters
import cProfile, ... | certified-removal-main | fast_grad/helpers.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import sys
import scip_solver as scip
import xpress_solver as xp
# Wrap is the various MILP solvers including SCIP... | CL-LNS-main | ilp_solver.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from numpy.lib.utils import byte_bounds
class Solution:
def __init__(self, model, scip_solution, obj_value):
... | CL-LNS-main | ilp_model.py |
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