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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DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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... | 9,507 | 35.710425 | 95 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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_... | 2,495 | 32.28 | 98 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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... | 3,120 | 32.202128 | 107 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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, ... | 12,272 | 30.960938 | 88 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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... | 6,147 | 31.188482 | 88 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/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,... | 16,597 | 33.869748 | 103 | py |
DMF | DMF-main/fairseq/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 |
DMF | DMF-main/fairseq/examples/speech_recognition/new/decoders/viterbi_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.
import torch
from typing import List, Dict
from .base_decoder import BaseDecoder
class ViterbiDecoder(BaseDecoder)... | 641 | 24.68 | 73 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/new/decoders/flashlight_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.
import gc
import os.path as osp
import warnings
from collections import deque, namedtuple
from typing import Any, Dict... | 14,746 | 33.136574 | 88 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/kaldi/kaldi_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.
from concurrent.futures import ThreadPoolExecutor
import logging
from omegaconf import MISSING
import os
import torch
... | 8,265 | 32.738776 | 116 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/data/collaters.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.
"""
This module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | 4,796 | 35.340909 | 84 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/data/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 torch
def calc_mean_invstddev(feature):
if len(feature.size()) != 2:
raise ValueError("We expect the input feature to be ... | 3,429 | 32.960396 | 84 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/data/asr_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 os
import numpy as np
from fairseq.data import FairseqDataset
from . import data_utils
from .collaters import Seq2SeqCollater
class... | 3,955 | 31.162602 | 82 | py |
DMF | DMF-main/fairseq/examples/speech_recognition/tasks/speech_recognition.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 re
import sys
import torch
from examples.speech_recognition.data import AsrDataset
from examples.speech_recognit... | 5,397 | 33.164557 | 87 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/generate_waveform.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 ast
import logging
import matplotlib.pyplot as plt
import numpy as np
from pathlib import Path
import soundfile as sf
import sys
import... | 7,339 | 37.031088 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/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 numpy as np
import torch
from scipy.interpolate import interp1d
import torchaudio
from fairseq.tasks.text_to_speech import (
batch... | 3,357 | 31.921569 | 78 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/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 io
import os
from pathlib import Path
from typing import Optional, List, Dict
import zipfile
import tempfile
from dataclasses import da... | 11,364 | 31.942029 | 87 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/evaluation/eval_sp.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.
"""
Signal processing-based evaluation using waveforms
"""
import csv
import numpy as np
import os.path as op
import torch
import tqdm
from... | 4,149 | 30.439394 | 75 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/evaluation/eval_f0.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.
"""
Signal processing-based evaluation using waveforms
"""
import numpy as np
import os.path as op
import torchaudio
import tqdm
from tabulat... | 8,333 | 30.213483 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/get_feature_manifest.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 logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
from collections import Counter,... | 11,171 | 41.479087 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/get_common_voice_audio_manifest.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 logging
from pathlib import Path
from collections import defaultdict
from typing import List, Dict, Tuple
import panda... | 5,277 | 36.432624 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/denoise_and_vad_audio.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 logging
import os
import csv
import tempfile
from collections import defaultdict
from pathlib import Path
import torch... | 7,655 | 36.346341 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/get_ljspeech_audio_manifest.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 logging
from pathlib import Path
from collections import defaultdict
import pandas as pd
from torchaudio.datasets impo... | 2,288 | 31.239437 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/get_vctk_audio_manifest.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 logging
import numpy as np
import re
from pathlib import Path
from collections import defaultdict
import pandas as pd
... | 2,685 | 32.575 | 80 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/get_speaker_embedding.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
from collections import defaultdict
from itertools import chain
from pathlib import Path
import numpy as np
import torchaudi... | 3,116 | 33.633333 | 81 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/denoiser/resample.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.
# author: adefossez
import math
import torch as th
from torch.nn import functional as F
def sinc(t):
"""sinc.
:... | 2,226 | 26.8375 | 89 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/denoiser/demucs.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.
# author: adefossez
import math
import time
import torch as th
from torch import nn
from torch.nn import functional as F
... | 16,989 | 34.843882 | 83 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/denoiser/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.
# author: adefossez
import functools
import logging
from contextlib import contextmanager
import inspect
import time
logge... | 4,770 | 25.954802 | 85 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/denoiser/pretrained.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.
# author: adefossez
import logging
import torch.hub
from .demucs import Demucs
from .utils import deserialize_model
logg... | 2,384 | 28.085366 | 84 | py |
DMF | DMF-main/fairseq/examples/speech_synthesis/preprocessing/speaker_embedder/__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 librosa
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
import torchaudio
EMBEDDER_PARAMS... | 4,103 | 29.176471 | 78 | py |
DMF | DMF-main/fairseq/examples/byte_level_bpe/gru_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.
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the r... | 5,027 | 45.555556 | 87 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/modules/monotonic_multihead_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
from torch import Tensor
import torch.nn as nn
from examples.simultaneous_translation.utils.p_choose_strategy impor... | 16,858 | 31.421154 | 142 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/modules/monotonic_transformer_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.
from fairseq.modules import TransformerDecoderLayer, TransformerEncoderLayer
from . import build_monotonic_attention
from typing import Dict... | 7,265 | 38.704918 | 88 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/modules/fixed_pre_decision.py | from functools import partial
import torch
from torch import Tensor
import math
import torch.nn.functional as F
from . import register_monotonic_attention
from .monotonic_multihead_attention import (
MonotonicAttention,
MonotonicInfiniteLookbackAttention,
WaitKAttention
)
from typing import Dict, Optional... | 7,370 | 37.591623 | 91 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/eval/agents/simul_t2t_enja.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
from fairseq import checkpoint_utils, tasks
import sentencepiece as spm
import torch
try:
from simuleval import READ_ACTION, W... | 7,099 | 30.277533 | 85 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/models/transformer_monotonic_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.
from typing import Dict, List, NamedTuple, Optional
import torch
import torch.nn as nn
from examples.simultaneous_translation.modules.monoton... | 10,185 | 32.617162 | 108 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/models/convtransformer_simul_trans.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 fairseq import checkpoint_uti... | 7,162 | 33.941463 | 123 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/tests/test_text_models.py | import argparse
import unittest
from typing import Any, Dict
import torch
from examples.simultaneous_translation.models import (
transformer_monotonic_attention
)
from tests.test_roberta import FakeTask
DEFAULT_CONFIG = {
"attention_eps": 1e-6,
"mass_preservation": True,
"noise_type": "flat",
"... | 13,524 | 32.14951 | 108 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/tests/test_alignment_train.py | import unittest
import numpy as np
import torch
import hypothesis.strategies as st
from hypothesis import assume, given, settings
from torch.testing._internal.common_utils import TestCase
from examples.simultaneous_translation.utils.functions import exclusive_cumprod
TEST_CUDA = torch.cuda.is_available()
class Al... | 2,989 | 32.595506 | 148 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/utils/monotonic_attention.py | from typing import Optional
import torch
from torch import Tensor
from examples.simultaneous_translation.utils.functions import (
exclusive_cumprod,
prob_check,
moving_sum,
)
def expected_alignment_from_p_choose(
p_choose: Tensor,
padding_mask: Optional[Tensor] = None,
eps: float = 1e-6
):
... | 4,975 | 26.491713 | 88 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/utils/p_choose_strategy.py | from typing import Optional, Dict
from torch import Tensor
import torch
def waitk_p_choose(
tgt_len: int,
src_len: int,
bsz: int,
waitk_lagging: int,
key_padding_mask: Optional[Tensor] = None,
incremental_state: Optional[Dict[str, Dict[str, Optional[Tensor]]]] = None
):
max_src_len = src_... | 3,445 | 26.133858 | 78 | py |
DMF | DMF-main/fairseq/examples/simultaneous_translation/utils/functions.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
def prob_check(tensor, eps=1e-10):
assert not torch.isnan(tensor).any(), (
"Nan in a probability tensor."
)
... | 3,535 | 27.063492 | 84 | py |
DMF | DMF-main/fairseq/examples/fast_noisy_channel/noisy_channel_translation.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 fairseq.tasks.translation import TranslationTask
from fairseq.tasks.language_modeling import LanguageModelingTask
from fairseq import che... | 6,709 | 51.421875 | 160 | py |
DMF | DMF-main/fairseq/examples/fast_noisy_channel/noisy_channel_beam_search.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.search import Search
class NoisyChannelBeamSearch(Search):
def __init__(self, tgt_dict):
super().__in... | 2,895 | 39.222222 | 104 | py |
DMF | DMF-main/fairseq/examples/fast_noisy_channel/noisy_channel_sequence_generator.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 Dict, List, Optional
import math
import numpy as np
import torch
import torch.nn.functional as F
from torch import Tensor... | 41,200 | 47.874259 | 187 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/speech_to_text_head_selection.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.optim.amp_optimizer import AMPOptimizer
from fairseq.tasks import register_task
from fairseq.tasks.speech_to_text im... | 7,727 | 41.696133 | 132 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/modules/multihead_functional.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 Optional, Tuple
import torch
from torch import Tensor
from torch.nn.functional import (
linear, softmax, dropout, pad,
... | 11,418 | 39.928315 | 134 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/modules/multihead_attention_selection.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 Dict, Optional, Tuple
import torch
from fairseq import utils
from fairseq.modules.quant_noise import quant_noise
from torch... | 14,046 | 38.457865 | 133 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/modules/attn_head_selector.py | # 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 math
class AttnHeadSelector(nn.Module):
"""
Latent variable modeling of attention head selection
"""
def __init__(
self, num_ta... | 3,074 | 36.5 | 111 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/models/head_selection_s2t_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 Dict, List, Optional
from pathlib import Path
import torch.nn as nn
from torch import Tensor
from fairseq im... | 6,831 | 38.953216 | 190 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/models/head_selection_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, List, Dict, Optional
import torch
import torch.nn as nn
from torch import Tensor
from fairseq.utils import safe_hasat... | 7,637 | 34.361111 | 190 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/loss/attention_head_selection.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 HeadSelectionLoss(_Loss):
def __init__(self, args):
sup... | 872 | 30.178571 | 100 | py |
DMF | DMF-main/fairseq/examples/attention_head_selection/src/data/speech_to_text_dataset_with_domain.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 pathlib import Path
from typing import Dict, List, Optional
from dataclasses import dataclass
import torch
from fairseq.d... | 8,439 | 33.73251 | 162 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/generate_waveform.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 ast
import argparse
import json
import logging
from pathlib import Path
import soundfile as sf
import torch
from tqdm import tqdm
fro... | 3,312 | 26.380165 | 131 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/inference_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 torch
class InferenceDataset:
def __init__(
self,
dataset,
prefix,
only_prefix=True,
pres... | 3,068 | 28.509615 | 117 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/quantize_f0.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 collections import defaultdict
from functools import partial
import numpy as np
import torch
from tqdm import tqdm
from data_utils impor... | 3,064 | 31.263158 | 87 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/naive_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 torch
import warnings
class Naive_F0_Decoder(torch.nn.Module):
def __init__(self, bounds_path, n_units=32):
super().__init... | 1,495 | 35.487805 | 156 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/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 os
import torch
from tqdm import tqdm
class Stat:
def __init__(self, keep_raw=False):
self.x = 0.0
self.x2 = 0.0
... | 2,568 | 22.787037 | 70 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/preprocess_f0.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
from tqdm import tqdm
from data_utils import load_audio_path
from fairseq.data.codedataset import get_f0_by_filename
d... | 1,872 | 27.378788 | 98 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/prepare_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.
from multiprocessing import Pool
import os
from collections import defaultdict
from itertools import starmap
import torch
from npy_append_arr... | 4,623 | 31.111111 | 87 | py |
DMF | DMF-main/fairseq/examples/textless_nlp/pgslm/truncated_laplace.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 warnings
def truncated_laplace(mean, T, truncate_by_zero=False):
"""Generating a sample from a Laplace distribution, ... | 1,060 | 34.366667 | 88 | py |
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