repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/util/image_pool.py | import random
import torch
class ImagePool():
"""This class implements an image buffer that stores previously generated images.
This buffer enables us to update discriminators using a history of generated images
rather than the ones produced by the latest generators.
"""
def __init__(self, pool_... | 2,226 | 39.490909 | 140 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/util/util.py | """This module contains simple helper functions """
from __future__ import print_function
import torch
import numpy as np
from PIL import Image
import os
def tensor2im(input_image, imtype=np.uint8):
""""Converts a Tensor array into a numpy image array.
Parameters:
input_image (tensor) -- the input i... | 3,175 | 29.538462 | 119 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/scripts/edges/batch_hed.py | # HED batch processing script; modified from https://github.com/s9xie/hed/blob/master/examples/hed/HED-tutorial.ipynb
# Step 1: download the hed repo: https://github.com/s9xie/hed
# Step 2: download the models and protoxt, and put them under {caffe_root}/examples/hed/
# Step 3: put this script under {caffe_root}/exampl... | 3,521 | 41.95122 | 141 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/scripts/eval_cityscapes/evaluate.py | import os
import caffe
import argparse
import numpy as np
import scipy.misc
from PIL import Image
from util import segrun, fast_hist, get_scores
from cityscapes import cityscapes
parser = argparse.ArgumentParser()
parser.add_argument("--cityscapes_dir", type=str, required=True, help="Path to the original cityscapes da... | 3,403 | 47.628571 | 170 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/data/colorization_dataset.py | import os
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from skimage import color # require skimage
from PIL import Image
import numpy as np
import torchvision.transforms as transforms
class ColorizationDataset(BaseDataset):
"""This dataset class can load a s... | 2,717 | 38.391304 | 141 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/data/base_dataset.py | """This module implements an abstract base class (ABC) 'BaseDataset' for datasets.
It also includes common transformation functions (e.g., get_transform, __scale_width), which can be later used in subclasses.
"""
import random
import numpy as np
import torch.utils.data as data
from PIL import Image
import torchvision.... | 5,895 | 34.095238 | 141 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/data/image_folder.py | """A modified image folder class
We modify the official PyTorch image folder (https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py)
so that this class can load images from both current directory and its subdirectories.
"""
import torch.utils.data as data
from PIL import Image
import os
IMG_E... | 1,885 | 27.575758 | 122 | py |
pytorch-CycleGAN-and-pix2pix | pytorch-CycleGAN-and-pix2pix-master/data/__init__.py | """This package includes all the modules related to data loading and preprocessing
To add a custom dataset class called 'dummy', you need to add a file called 'dummy_dataset.py' and define a subclass 'DummyDataset' inherited from BaseDataset.
You need to implement four functions:
-- <__init__>: ... | 3,554 | 36.819149 | 176 | py |
sign-topic | sign-topic-main/setup.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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
import subprocess
import sys
from setuptools import Extension, find_packages, setup
if sys.version_info < (... | 8,427 | 28.263889 | 92 | py |
sign-topic | sign-topic-main/hubconf.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""isort:skip_file"""
import functools
import importlib
dependencies = [
"dataclasses",
"hydra",
"numpy",
"omegaconf",
"... | 2,099 | 27.378378 | 82 | py |
sign-topic | sign-topic-main/examples/truncated_bptt/transformer_xl_model.py | # Copyright (c) Facebook, Inc. and its 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 dataclasses import dataclass, field
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import Fa... | 5,324 | 33.134615 | 86 | py |
sign-topic | sign-topic-main/examples/truncated_bptt/truncated_bptt_lm_task.py | # Copyright (c) Facebook, Inc. and its 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 os
from dataclasses import dataclass, field
from typing import List, Optional, Tuple
import torch
from fairseq import u... | 9,995 | 33.951049 | 86 | py |
sign-topic | sign-topic-main/examples/linformer/linformer_src/modules/multihead_linear_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incr... | 19,151 | 38.73444 | 98 | py |
sign-topic | sign-topic-main/examples/linformer/linformer_src/modules/linformer_sentence_encoder.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn as nn
from fairseq.models.transformer import TransformerEncoder
from .linformer_sentence_encoder_layer import Li... | 2,151 | 38.127273 | 85 | py |
sign-topic | sign-topic-main/examples/linformer/linformer_src/modules/linformer_sentence_encoder_layer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq import utils
from fairseq.modules import TransformerEncoderLayer
from .multihead_linear_attention import MultiheadL... | 2,743 | 40.575758 | 85 | py |
sign-topic | sign-topic-main/examples/linformer/linformer_src/models/linformer_roberta.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Linformer: Self-Attention with Linear Complexity
"""
import logging
import torch
from fairseq import utils
from fairseq.models import reg... | 4,143 | 33.247934 | 84 | py |
sign-topic | sign-topic-main/examples/wav2vec/vq-wav2vec_featurize.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | 7,680 | 29.601594 | 99 | py |
sign-topic | sign-topic-main/examples/wav2vec/wav2vec_featurize.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | 7,020 | 27.084 | 135 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/w2vu_generate.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
from collections import namedtuple
fr... | 22,210 | 30.371469 | 129 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/models/wav2vec_u.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass
from enum import Enum, auto
import math
import numpy as np
from typing import Tuple, List, Optional, Dict
i... | 20,954 | 31.844828 | 90 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/wav2vec_apply_cluster_faiss.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 os
import os.path as osp
import numpy as np
import tqdm
import torch
import sys
import faiss... | 4,015 | 30.131783 | 129 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/merge_clusters.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 os
import os.path as osp
import numpy as np
import tqdm
import torch
import random
from shuti... | 3,543 | 29.817391 | 110 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/remove_silence.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
get intervals from .vads file, specify output data, and this script removes silences and saves the audio data in... | 1,927 | 29.125 | 128 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/apply_pca.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
from shutil ... | 2,496 | 31.428571 | 114 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/wav2vec_cluster_faiss.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 gc
import os
import os.path as osp
import random
import numpy as np
import tqdm
import torch
... | 6,315 | 28.933649 | 129 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/mean_pool.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
import torch... | 3,187 | 30.88 | 144 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/scripts/wav2vec_extract_features.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its 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 os
import os.path as osp
import tqdm
import torch
import torch.nn.functional as F
from shutil... | 3,673 | 29.616667 | 105 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/data/extracted_features_dataset.py | # Copyright (c) Facebook, Inc. and its 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 os
import contextlib
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = l... | 4,170 | 27.765517 | 87 | py |
sign-topic | sign-topic-main/examples/wav2vec/unsupervised/tasks/unpaired_audio_text.py | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from dataclasses import dataclass,... | 15,435 | 33.455357 | 102 | py |
sign-topic | sign-topic-main/examples/criss/save_encoder.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Translate pre-processed data with a trained model.
"""
import numpy as np
import torch
from fairseq import check... | 7,473 | 33.762791 | 90 | py |
sign-topic | sign-topic-main/examples/speech_to_speech/generate_waveform_from_code.py | # Copyright (c) Facebook, Inc. and its 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 json
import logging
from pathlib import Path
import random
import soundfile as sf
import torch
from tqdm import tqdm
... | 3,285 | 27.08547 | 107 | py |
sign-topic | sign-topic-main/examples/speech_to_speech/benchmarking/core.py | import timeit
import logging
import torch
from pypapi import events, papi_high as high
from memory_profiler import memory_usage
from torch import nn
from argparse import Namespace
from fairseq.dataclass.utils import convert_namespace_to_omegaconf
from fairseq.data import data_utils as fairseq_data_utils
from fairseq im... | 17,782 | 35.440574 | 131 | py |
sign-topic | sign-topic-main/examples/speech_to_speech/benchmarking/data_utils.py | from fairseq import tasks
import numpy as np
import logging
import random
from fairseq import options
import torch
import os
import soundfile as sf
from fairseq.data.audio.audio_utils import (
get_waveform,
parse_path,
)
logging.basicConfig()
logging.root.setLevel(logging.INFO)
logging.basicConfig(level=loggi... | 7,893 | 28.788679 | 127 | py |
sign-topic | sign-topic-main/examples/speech_to_speech/benchmarking/get_metrics.py | import copy
import torch
import logging
from argparse import Namespace
import yaml
from fairseq import options
from examples.speech_to_speech.benchmarking.core import (
Processing,
SpeechGeneration,
Cascaded2StageS2ST,
Cascaded3StageS2ST,
S2UT,
)
from examples.speech_to_speech.benchmarking.data_util... | 5,053 | 30.006135 | 115 | py |
sign-topic | sign-topic-main/examples/speech_to_speech/preprocessing/prep_s2spect_data.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 logging
import os
from pathlib import Path
import shutil
import torchaudio
import soundfile as ... | 5,844 | 33.382353 | 125 | py |
sign-topic | sign-topic-main/examples/bart/summarize.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.models.bart import BARTModel
import argparse
XSUM_KWARGS = dict(beam=6, lenpen=1.0, max_len_b=60, min_len=10, no_re... | 3,174 | 30.435644 | 88 | py |
sign-topic | sign-topic-main/examples/adaptive_span/adaptive_span_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class AdaptiveMask(nn.Module):
"""Soft masking function f... | 5,881 | 35.534161 | 85 | py |
sign-topic | sign-topic-main/examples/adaptive_span/adagrad_with_grad_clip.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from torch.optim import Adagrad
from fairseq.optim import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adagrad_with_grad... | 4,374 | 32.914729 | 92 | py |
sign-topic | sign-topic-main/examples/adaptive_span/adaptive_span_model.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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.modules.layer_norm import Lay... | 8,540 | 31.352273 | 87 | py |
sign-topic | sign-topic-main/examples/adaptive_span/adaptive_span_loss.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | 4,233 | 38.570093 | 88 | py |
sign-topic | sign-topic-main/examples/adaptive_span/adaptive_span_model_wrapper.py | # Copyright (c) Facebook, Inc. and its 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 dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import FairseqDa... | 4,692 | 31.143836 | 114 | py |
sign-topic | sign-topic-main/examples/MMPT/setup.py | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="mmpt",
version="0.0.1",
author="Hu Xu, Po-yao Huang",
author_email="huxu@fb.com",
description="A package for multimodal pretraining.",
long_description=long_description,
long_descr... | 668 | 25.76 | 59 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt_cli/predict.py | # Copyright (c) Facebook, Inc. and its 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
import glob
import argparse
import pprint
import omegaconf
from omegaconf import OmegaConf
from torch.utils.data import DataLoader
... | 3,937 | 33.54386 | 81 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/modules/mm.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 5,537 | 36.931507 | 83 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/modules/vectorpool.py | # Copyright (c) Facebook, Inc. All Rights Reserved
import torch
import os
import numpy as np
import pickle
from . import retri
from ..utils import get_local_rank
class VectorPool(object):
"""
Base class of retrieval space.
"""
def __init__(self, config):
from transformers import AutoConfig
... | 8,278 | 32.518219 | 82 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/models/transformermodel.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 26,064 | 34.462585 | 87 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/models/mmfusionnlg.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | 48,394 | 47.395 | 246 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/models/mmfusion.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 30,634 | 32.047465 | 90 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/datasets/fairseqmmdataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
TODO (huxu): fairseq wrapper class for all dataset you defined: mostly MMDataset.
"""
from collections import OrderedDict
from torch.util... | 1,785 | 29.793103 | 85 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/datasets/mmdataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from collections import OrderedDict
from torch.utils.data import Dataset
from torch.utils.data.dataloader import default_collat... | 3,873 | 33.589286 | 76 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/evaluators/predictor.py | # Copyright (c) Facebook, Inc. and its 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
import random
import json
import numpy as np
import torch
import pickle
import math
from tqdm import tqdm
class Predictor(object):... | 23,125 | 37.802013 | 113 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/processors/how2processor.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 32,302 | 35.377252 | 88 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/processors/processor.py | # Copyright (c) Facebook, Inc. All Rights Reserved
import numpy as np
import os
import torch
class Processor(object):
"""
A generic processor for video (codec, feature etc.) and text.
"""
def __call__(self, **kwargs):
raise NotImplementedError
class MetaProcessor(Processor):
"""
A ... | 9,358 | 33.032727 | 86 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/processors/dsprocessor.py | # Copyright (c) Facebook, Inc. All Rights Reserved
"""
Processors for all downstream (ds) tasks.
"""
import json
import os
import pickle
import random
import math
import numpy as np
import torch
from collections import defaultdict
from .processor import (
MetaProcessor,
VideoProcessor,
TextProcessor,
... | 29,891 | 34.208481 | 104 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/processors/models/s3dg.py | # This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Contains a PyTorch definition for Gated Separable 3D network (S3D-G)
with a text module for computing joint text-video embedding from raw text
and video input. The following code will enable y... | 12,416 | 35.845697 | 94 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/utils/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
import numpy as np
import torch
from .shardedtensor import *
from .load_config import *
def set_seed(seed=43211):
random.s... | 1,886 | 26.347826 | 77 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/tasks/retritask.py | # Copyright (c) Facebook, Inc. and its 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
import torch
import pickle
import random
from tqdm import tqdm
from torch.utils.data import DataLoader
from torch.utils.data.distrib... | 8,413 | 32.125984 | 82 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/tasks/milncetask.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from .task import Task
class MILNCETask(Task):
def reshape_subsample(self, sample):
if (
hasattr(self.... | 954 | 33.107143 | 65 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/tasks/task.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from .. import tasks
from .. import models
from .. import losses
from ..datasets import MMDataset
from .. import processors
cla... | 6,780 | 35.654054 | 81 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/tasks/vlmtask.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from .task import Task
class VLMTask(Task):
"""A VLM task for reproducibility.
the collator split subsamples into two s... | 856 | 29.607143 | 67 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/losses/loss.py | # Copyright (c) Facebook, Inc. All Rights Reserved
import torch
from torch import nn
class Loss(object):
def __call__(self, *args, **kwargs):
raise NotImplementedError
# Dummy Loss for testing.
class DummyLoss(Loss):
def __init__(self):
self.loss = nn.CrossEntropyLoss()
def __call__(s... | 2,095 | 22.818182 | 83 | py |
sign-topic | sign-topic-main/examples/MMPT/mmpt/losses/nce.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
softmax-based NCE loss, used by this project.
"""
import torch
from torch import nn
from .loss import Loss
class NCE(Loss):
def _... | 4,586 | 28.216561 | 75 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/text_token_extractor/pretokenization.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import pickle
import os
import argparse
import numpy as np
from torch.utils.data import Dataset, DataLoader
from mmpt.processors import PKLJS... | 3,408 | 30.859813 | 87 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/video_feature_extractor/videoreader.py | # Copyright Howto100M authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
import pandas as pd
import os
import numpy as np
import ffmpeg
import random
from torch.utils.data import Dataset
class VideoLoader(Dataset):
"""modified from how2's video_feature_extractor."""
def __init__(... | 8,322 | 33.251029 | 86 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/video_feature_extractor/preprocessing.py | # Copyright Howto100m authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
class Normalize(object):
def __init__(self, mean, std):
self.mean = th.FloatTensor(mean).view(1, 3, 1, 1)
self.std = th.FloatTensor(std).view(1, 3, 1, 1)
def __call__(self, tensor):
t... | 2,071 | 34.724138 | 98 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/video_feature_extractor/model.py | # Copyright (c) Howto100M authors and Facebook, Inc. All Rights Reserved
import torch as th
from torch import nn
class GlobalAvgPool(nn.Module):
def __init__(self):
super(GlobalAvgPool, self).__init__()
def forward(self, x):
return th.mean(x, dim=[-2, -1])
def get_model(args):
assert ... | 1,921 | 31.576271 | 92 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/video_feature_extractor/extract.py | # Copyright Howto100M authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
import torch.nn.functional as F
import math
import numpy as np
import argparse
from torch.utils.data import DataLoader
from model import get_model
from preprocessing import Preprocessing
from random_sequence_shuffler ... | 5,529 | 34 | 116 | py |
sign-topic | sign-topic-main/examples/MMPT/scripts/video_feature_extractor/random_sequence_shuffler.py | # Copyright (c) Facebook, Inc. All Rights Reserved
import numpy as np
from torch.utils.data.sampler import Sampler
class RandomSequenceSampler(Sampler):
def __init__(self, n_sample, seq_len):
self.n_sample = n_sample
self.seq_len = seq_len
def _pad_ind(self, ind):
zeros = np.zeros(... | 829 | 26.666667 | 76 | py |
sign-topic | sign-topic-main/examples/translation_moe/translation_moe_src/mean_pool_gating_network.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn.functional as F
class MeanPoolGatingNetwork(torch.nn.Module):
"""A simple mean-pooling gating network for s... | 2,011 | 38.45098 | 84 | py |
sign-topic | sign-topic-main/examples/translation_moe/translation_moe_src/logsumexp_moe.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
class LogSumExpMoE(torch.autograd.Function):
"""Standard LogSumExp forward pass, but use *posterior* for the backward.
... | 837 | 30.037037 | 78 | py |
sign-topic | sign-topic-main/examples/translation_moe/translation_moe_src/translation_moe.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import torch
from omegaconf import II
from fairseq import metrics, utils
from fairseq.dataclass impo... | 9,484 | 35.621622 | 95 | py |
sign-topic | sign-topic-main/examples/laser/laser_src/laser_transformer.py | # Copyright (c) Facebook, Inc. and its 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 typing import Any, Dict, List, Optional
from torch import Tensor
import torch
import torch.nn as nn
from fairseq.models... | 11,947 | 32.656338 | 88 | py |
sign-topic | sign-topic-main/examples/laser/laser_src/laser_lstm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT 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 fairseq import options, utils
from fairseq.models import (
Fairs... | 20,672 | 34.278157 | 89 | py |
sign-topic | sign-topic-main/examples/text_classification/prep_how2sign.py | #!/usr/bin/env python3
# This code is based on the speech_to_text implementation (commit: d974c70)
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import errno
import os
import h5py
impor... | 3,974 | 29.576923 | 100 | py |
sign-topic | sign-topic-main/examples/latent_depth/latent_depth_src/modules/latent_layers.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
class LayerSelect(nn.Module):
"""Compute samples (from a Gumbel-Sigmoid distribution) which is used a... | 2,605 | 33.289474 | 83 | py |
sign-topic | sign-topic-main/examples/latent_depth/latent_depth_src/models/latent_transformer.py | # Copyright (c) Facebook, Inc. and its 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 Any, Dict, Optional
import torch.nn as nn
from fairseq.models.fairseq_encoder import EncoderOut
from fairseq.models.transf... | 5,584 | 34.573248 | 88 | py |
sign-topic | sign-topic-main/examples/latent_depth/latent_depth_src/loss/latent_depth.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
from torch.nn.modules.loss import _Loss
class LatentLayersKLLoss(_Loss):
def __init__(self, args):
sup... | 3,802 | 37.03 | 86 | py |
sign-topic | sign-topic-main/examples/hubert/update_ckpt.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
src_ckpt = "/checkpoint/wnhsu/w2v/archived/hubert_base_ls960_it2.pt"
ref_ckpt = "/checkpoint/wnhsu/w2v/hubert_icassp_oss_v3/iter... | 873 | 37 | 209 | py |
sign-topic | sign-topic-main/examples/hubert/simple_kmeans/dump_km_label.py | # Copyright (c) Facebook, Inc. and its 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 os
import sys
import numpy as np
import joblib
import torch
import tqdm
logging.basicConfig(
format="%(asctime)s ... | 3,008 | 29.393939 | 69 | py |
sign-topic | sign-topic-main/examples/hubert/simple_kmeans/dump_mfcc_feature.py | # Copyright (c) Facebook, Inc. and its 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 os
import sys
import soundfile as sf
import torch
import torchaudio
from feature_utils import get_path_iterator, dump_... | 2,491 | 30.544304 | 78 | py |
sign-topic | sign-topic-main/examples/hubert/simple_kmeans/dump_w2v2_feature.py | # Copyright (c) Facebook, Inc. and its 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 os
import sys
import fairseq
import soundfile as sf
import torch
import torch.nn.functional as F
from feature_utils im... | 3,129 | 31.604167 | 78 | py |
sign-topic | sign-topic-main/examples/hubert/simple_kmeans/dump_hubert_feature.py | # Copyright (c) Facebook, Inc. and its 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 os
import sys
import fairseq
import soundfile as sf
import torch
import torch.nn.functional as F
from feature_utils im... | 3,018 | 31.117021 | 78 | py |
sign-topic | sign-topic-main/examples/speech_to_text/prep_covost_data.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
from typi... | 8,909 | 30.821429 | 86 | py |
sign-topic | sign-topic-main/examples/speech_to_text/prep_mtedx_data.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 logging
import os
from pathlib import Path
import shutil
from itertools import groupby
from temp... | 10,168 | 36.386029 | 80 | py |
sign-topic | sign-topic-main/examples/speech_to_text/prep_librispeech_data.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
import p... | 3,623 | 29.2 | 77 | py |
sign-topic | sign-topic-main/examples/speech_to_text/data_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
from pathlib import Path
import zipfile
from functools import reduce
from multiprocessing import cpu_count
from typing import Any, ... | 12,275 | 30.96875 | 88 | py |
sign-topic | sign-topic-main/examples/speech_to_text/prep_mustc_data.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 logging
import os
from pathlib import Path
import shutil
from itertools import groupby
from temp... | 11,080 | 36.562712 | 79 | py |
sign-topic | sign-topic-main/examples/speech_to_text/simultaneous_translation/agents/fairseq_simul_st_agent.py | import math
import os
import json
import numpy as np
import torch
import torchaudio.compliance.kaldi as kaldi
import yaml
from fairseq import checkpoint_utils, tasks
from fairseq.file_io import PathManager
try:
from simuleval import READ_ACTION, WRITE_ACTION, DEFAULT_EOS
from simuleval.agents import SpeechAgen... | 12,193 | 32.5 | 105 | py |
sign-topic | sign-topic-main/examples/roberta/commonsense_qa/commonsense_qa_task.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
import numpy as np
import torch
from fairseq.data import (
Dictionary,
IdDataset,
ListDataset,
NestedDi... | 6,124 | 31.068063 | 88 | py |
sign-topic | sign-topic-main/examples/roberta/wsc/wsc_task.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.... | 13,524 | 32.644279 | 90 | py |
sign-topic | sign-topic-main/examples/roberta/wsc/wsc_criterion.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, reg... | 6,037 | 34.940476 | 87 | py |
sign-topic | sign-topic-main/examples/speech_recognition/infer.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
import logging
import math
import os
... | 14,677 | 32.588101 | 111 | py |
sign-topic | sign-topic-main/examples/speech_recognition/w2l_decoder.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Flashlight decoders.
"""
import gc
import itertools as it
import os.path as osp
from typing import List
import wa... | 17,396 | 34.722793 | 171 | py |
sign-topic | sign-topic-main/examples/speech_recognition/criterions/cross_entropy_acc.py | # Copyright (c) Facebook, Inc. and its 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 absolute_import, division, print_function, unicode_literals
import logging
import math
import torch
import torch.nn.f... | 5,372 | 40.015267 | 85 | py |
sign-topic | sign-topic-main/examples/speech_recognition/criterions/ASG_loss.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from examples.speech_recognition.data.replabels import pack_replabels
from fairseq import utils
from fair... | 5,870 | 33.333333 | 85 | py |
sign-topic | sign-topic-main/examples/speech_recognition/models/vggtransformer.py | # Copyright (c) Facebook, Inc. and its 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 math
from collections.abc import Iterable
import torch
import torch.nn as nn
from examples.speech_recognition.data.dat... | 37,260 | 35.494613 | 88 | py |
sign-topic | sign-topic-main/examples/speech_recognition/models/w2l_conv_glu_enc.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
Fairs... | 6,078 | 33.151685 | 87 | py |
sign-topic | sign-topic-main/examples/speech_recognition/datasets/asr_prep_json.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its 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 absolute_import, division, print_function, unicode_literals
import argparse
import concurrent.f... | 3,775 | 28.968254 | 84 | py |
sign-topic | sign-topic-main/examples/speech_recognition/new/infer.py | #!/usr/bin/env python -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import ast
import hashlib
import logging
import os
import shutil
import sys
from dataclasses import dataclass, field,... | 16,498 | 33.955508 | 103 | py |
sign-topic | sign-topic-main/examples/speech_recognition/new/decoders/base_decoder.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools as it
from typing import Any, Dict, List
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.fai... | 2,093 | 32.238095 | 85 | py |
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