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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sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/examples/SL_topic_detection/analysis_outputs.py | # Script for analizing outputs produced by the models.
import math
from typing import Tuple
from typing import Union
from typing import List
from copy import deepcopy
import argparse
import ast
import pandas as pd
from sympy import ShapeError
import numpy as np
from sklearn import manifold
from sklearn.metrics impor... | 27,538 | 35.235526 | 167 | py |
sign-topic | sign-topic-main/examples/SL_topic_detection/infer.py | import ast
import os
import sys
from dataclasses import dataclass, field, is_dataclass
import logging
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union, Callable
from operator import attrgetter
import torch
import torch.distributed as dist
import hydra
from hydra.core.config_store im... | 17,569 | 37.030303 | 148 | py |
sign-topic | sign-topic-main/examples/SL_topic_detection/prep_how2sign.py | #!/usr/bin/env python3
import errno
import os
import json
import h5py
import argparse
import logging
import pandas as pd
from typing import Tuple
from typing import List
from pathlib import Path
from tempfile import NamedTemporaryFile
import cv2
import torchvision
import torch
from torch.utils.data import Dataset
fro... | 8,850 | 35.57438 | 163 | py |
sign-topic | sign-topic-main/examples/sign2vec/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 h5py
import argparse
import loggi... | 5,013 | 34.062937 | 101 | py |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/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 |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/ulm/sample.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.
"""
Sample from a trained LM; hacked fairseq-interactive
"""
from collections import namedtuple
import os
import ast
... | 5,623 | 31.137143 | 103 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/tools/resynthesize_speech.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 gc
import logging
import os
import joblib
import soundfile as sf
import torch
from examples.textless_nlp.gslm.speech2u... | 4,183 | 30.458647 | 86 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tts_data.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 numpy as np
from examples.textless_nlp.gslm.unit2speech.tacotron2.text import (
EOS_TOK,
SOS_TOK,
code_to_seq... | 1,733 | 30.527273 | 77 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/multiproc.py | import os
import time
import torch
import sys
import subprocess
argslist = list(sys.argv)[1:]
log_dir = argslist[-1]
num_gpus = torch.cuda.device_count()
argslist.append('--n_gpus={}'.format(num_gpus))
workers = []
job_id = time.strftime("%Y_%m_%d-%H%M%S")
argslist.append("--group_name=group_{}".format(job_id))
print... | 772 | 26.607143 | 84 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/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
from examples.textless_nlp.gslm.unit2speech.tacotron2.model import Tacotron2
from examples.textless_nlp.gslm.unit2speech.tacotro... | 1,904 | 33.017857 | 80 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/glow.py | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... | 12,653 | 39.557692 | 105 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/stft.py | """
BSD 3-Clause License
Copyright (c) 2017, Prem Seetharaman
All rights reserved.
* Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of... | 5,893 | 40.507042 | 97 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/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 collections
import io
import json
import librosa
import numpy as np
import soundfile as sf
import time
import torch
from scipy.io.wavfi... | 4,918 | 27.598837 | 79 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/model.py | from math import sqrt
import torch
import torch.distributions as distr
from torch.autograd import Variable
from torch import nn
from torch.nn import functional as F
from .layers import ConvNorm, LinearNorm, GlobalAvgPool
from .utils import to_gpu, get_mask_from_lengths
class LocationLayer(nn.Module):
def __init__... | 25,989 | 37.791045 | 82 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/layers.py | import torch
from librosa.filters import mel as librosa_mel_fn
from .audio_processing import dynamic_range_compression
from .audio_processing import dynamic_range_decompression
from .stft import STFT
from .utils import get_mask_from_lengths
class LinearNorm(torch.nn.Module):
def __init__(self, in_dim, out_dim, bi... | 3,859 | 36.115385 | 81 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/waveglow_denoiser.py | # import sys
# sys.path.append('tacotron2')
import torch
from .layers import STFT
class Denoiser(torch.nn.Module):
""" Removes model bias from audio produced with waveglow """
def __init__(self, waveglow, filter_length=1024, n_overlap=4,
win_length=1024, mode='zeros'):
super(Denoiser... | 1,610 | 38.292683 | 77 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py | import torch
import numpy as np
from scipy.signal import get_window
import librosa.util as librosa_util
def window_sumsquare(window, n_frames, hop_length=200, win_length=800,
n_fft=800, dtype=np.float32, norm=None):
"""
# from librosa 0.6
Compute the sum-square envelope of a window fu... | 2,610 | 26.776596 | 83 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/metrics/asr_metrics/ppx.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 numpy as np
import warnings
def get_target_sequences(manifest, ground_truth, to_take=1000):
import json
import ... | 3,692 | 29.02439 | 90 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/metrics/asr_metrics/misc/cut_as.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 torchaudio
import argparse
import json
import pathlib
def get_args():
parser = argparse.ArgumentParser(
"Assuring genera... | 1,832 | 25.185714 | 78 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/speech2unit/pretrained/hubert_feature_reader.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 fairseq
import soundfile as sf
import torch.nn.functional as F
class HubertFeatureReader:
"""
Wrapper class to r... | 1,912 | 30.883333 | 66 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/speech2unit/pretrained/w2v2_feature_reader.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 fairseq
import soundfile as sf
class Wav2VecFeatureReader:
"""
Wrapper class to run inference on Wav2Vec 2.0 mod... | 1,424 | 29.319149 | 79 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/speech2unit/pretrained/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 gc
import os
import random
import shutil
import numpy as np
import torch
import tqdm
from examples.textless_nlp.gslm.speech2unit.pretr... | 3,407 | 25.834646 | 85 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/speech2unit/pretrained/logmel_feature_reader.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 soundfile as sf
import torch
import torchaudio.compliance.kaldi as kaldi
class LogMelFeatureReader:
"""
Wrapper class to run ... | 905 | 28.225806 | 65 | py |
sign-topic | sign-topic-main/examples/textless_nlp/gslm/speech2unit/pretrained/cpc_feature_reader.py | import soundfile as sf
import torch
import torch.nn as nn
import torch.nn.functional as F
class CpcFeatureReader:
"""
Wrapper class to run inference on CPC model.
Helps extract features for a given audio file.
"""
def __init__(
self,
checkpoint_path,
layer,
use_enc... | 6,525 | 32.813472 | 82 | py |
sign-topic | sign-topic-main/examples/discriminative_reranking_nmt/drnmt_rerank.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.
"""
Score raw text with a trained model.
"""
from collections import namedtuple
import logging
from multiprocessing ... | 11,312 | 29.994521 | 144 | py |
sign-topic | sign-topic-main/examples/discriminative_reranking_nmt/criterions/discriminative_reranking_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
from dataclasses import dataclass, field
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fa... | 4,997 | 34.956835 | 157 | py |
sign-topic | sign-topic-main/examples/discriminative_reranking_nmt/models/discriminative_reranking_model.py | from dataclasses import dataclass, field
import os
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.dataclass import ChoiceEnum, FairseqDataclass
from fairseq.models import (
BaseFairseqModel,
register_model,
)
from fairseq.models.roberta.model import RobertaClassificationHead
from ... | 13,714 | 36.472678 | 112 | py |
sign-topic | sign-topic-main/examples/discriminative_reranking_nmt/tasks/discriminative_reranking_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.
from dataclasses import dataclass, field
import itertools
import logging
import os
import numpy as np
import torch
from fairseq import metr... | 17,491 | 35.747899 | 96 | py |
sign-topic | sign-topic-main/examples/pointer_generator/pointer_generator_src/transformer_pg.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, Optional, List, Tuple
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.... | 23,439 | 44.163776 | 102 | py |
sign-topic | sign-topic-main/examples/speech_text_joint_to_text/criterions/text_guide_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.
import math
import torch
import torch.nn.functional as F
from fairseq.criterions import FairseqCriterion, register_criterion
from fairseq.crit... | 11,004 | 48.129464 | 139 | py |
sign-topic | sign-topic-main/examples/speech_text_joint_to_text/models/s2t_dualinputtransformer.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 collections import namedtuple
import torch
import torch.nn as nn
from fairseq import checkpoint_utils
from fairseq import... | 45,047 | 40.177331 | 128 | py |
sign-topic | sign-topic-main/examples/speech_text_joint_to_text/models/s2t_dualinputxmtransformer.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 copy
import torch.nn as nn
from fairseq import checkpoint_utils
from fairseq import utils
from fairseq.data.data_utils import lengths_... | 21,461 | 35.687179 | 88 | py |
sign-topic | sign-topic-main/examples/speech_text_joint_to_text/tasks/speech_text_joint.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 argparse import Namespace
from pathlib import Path
import torch
from fairseq.data import (
encoders,
Dic... | 13,654 | 35.124339 | 88 | py |
sign-topic | sign-topic-main/examples/rxf/rxf_src/label_smoothed_cross_entropy_r3f.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 metrics, utils
from fairseq.criterions import FairseqCriterion, ... | 6,109 | 37.670886 | 91 | py |
sign-topic | sign-topic-main/examples/rxf/rxf_src/sentence_prediction_r3f.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 FairseqCriterion, register_... | 6,587 | 37.302326 | 96 | py |
sign-topic | sign-topic-main/scripts/average_checkpoints.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 collections
import os
import re
import torch
from fairseq.file_io import PathManager
def aver... | 6,075 | 36.73913 | 126 | py |
sign-topic | sign-topic-main/tests/test_rotary_positional_embedding.py | import torch
import numpy as np
import unittest
from fairseq.modules.rotary_positional_embedding import apply_rotary_pos_emb
from fairseq.modules import RotaryPositionalEmbedding
class TestRotaryPositionalEmbedding(unittest.TestCase):
def setUp(self) -> None:
self.T = 3
self.B = 1
self.C =... | 2,045 | 30.476923 | 82 | py |
sign-topic | sign-topic-main/tests/test_train.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 contextlib
import logging
import unittest
from io import StringIO
from unittest.mock import MagicMock, patch
import torch
from fairseq... | 9,292 | 36.471774 | 101 | py |
sign-topic | sign-topic-main/tests/test_positional_encoding.py | import unittest
import torch
from fairseq.modules import RelPositionalEncoding
import numpy as np
class TestRelPositionalEncoding(unittest.TestCase):
def setUp(self) -> None:
self.T = 3
self.B = 1
self.C = 2
torch.manual_seed(0)
self.sample = torch.randn(self.T, self.B, se... | 1,714 | 25.796875 | 75 | py |
sign-topic | sign-topic-main/tests/test_checkpoint_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 contextlib
import logging
import os
import tempfile
import unittest
from io import StringIO
from unittest.mock import patch
from omega... | 4,744 | 35.221374 | 88 | py |
sign-topic | sign-topic-main/tests/test_average_checkpoints.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 collections
import os
import shutil
import tempfile
import unittest
import numpy as np
import torch
from scripts.average_checkpoints i... | 4,385 | 31.488889 | 88 | py |
sign-topic | sign-topic-main/tests/test_reproducibility.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 unittest
import torch
from . import test_binaries
class TestReproducibility(unittest.TestCase... | 4,864 | 31.651007 | 88 | py |
sign-topic | sign-topic-main/tests/test_sequence_scorer.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 unittest
import tests.utils as test_utils
import torch
from fairseq.sequence_scorer import SequenceScorer
class Test... | 4,150 | 33.305785 | 76 | py |
sign-topic | sign-topic-main/tests/test_multi_corpus_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 unittest
from collections import OrderedDict
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairse... | 2,587 | 30.180723 | 79 | py |
sign-topic | sign-topic-main/tests/test_espnet_multihead_attention.py | import torch
import numpy as np
import unittest
from fairseq.modules import (
ESPNETMultiHeadedAttention,
RelPositionMultiHeadedAttention,
RotaryPositionMultiHeadedAttention,
)
torch.use_deterministic_algorithms(True)
class TestESPNETMultiHeadedAttention(unittest.TestCase):
def setUp(self) -> None:
... | 5,548 | 30.350282 | 84 | py |
sign-topic | sign-topic-main/tests/test_memory_efficient_fp16.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 unittest
import torch
from fairseq.optim.adam import FairseqAdam
from fairseq.optim.fp16_optimizer impo... | 2,452 | 30.050633 | 70 | py |
sign-topic | sign-topic-main/tests/test_hf_hub.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 unittest
import torch
try:
import huggingface_hub
except ImportError:
huggingface_hub = None
from fai... | 796 | 25.566667 | 81 | py |
sign-topic | sign-topic-main/tests/test_ema.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 unittest
from copy import deepcopy
from dataclasses import dataclass
from typing import Optional
import torch
from fairseq.models.ema... | 6,676 | 30.200935 | 109 | py |
sign-topic | sign-topic-main/tests/test_lstm_jitable.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 tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.lstm import L... | 4,041 | 33.844828 | 85 | py |
sign-topic | sign-topic-main/tests/test_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 unittest
import torch
from fairseq.modules.multihead_attention import MultiheadAttention
class TestMultiheadAttention(unittest.TestC... | 2,943 | 33.232558 | 93 | py |
sign-topic | sign-topic-main/tests/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 argparse
import json
import os
import random
import shutil
import string
import sys
import typing as tp
from io import StringIO
import... | 23,931 | 29.332066 | 86 | py |
sign-topic | sign-topic-main/tests/test_binaries.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 contextlib
import json
import logging
import os
import random
import sys
import tempfile
import unittest
from io import StringIO
from t... | 73,338 | 37.417496 | 93 | py |
sign-topic | sign-topic-main/tests/test_concat_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 unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | 1,866 | 30.644068 | 81 | py |
sign-topic | sign-topic-main/tests/test_activation_checkpointing.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 unittest
import torch
import torch.nn as nn
from fairseq.modules.checkpoint_activations import checkpoint_wrapper
from torch.utils.che... | 2,904 | 35.3125 | 86 | py |
sign-topic | sign-topic-main/tests/test_noising.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 unittest
from typing import Dict, List
import torch
import tests.utils as test_utils
from fairseq import utils
from fairseq.data impo... | 19,814 | 36.246241 | 87 | py |
sign-topic | sign-topic-main/tests/test_constraints.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 unittest
from typing import List
import torch
from fairseq.token_generation_constraints import (
ConstraintNode,
OrderedConst... | 10,612 | 37.452899 | 155 | py |
sign-topic | sign-topic-main/tests/test_sparse_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 unittest
import torch
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAtten... | 3,738 | 31.513043 | 84 | py |
sign-topic | sign-topic-main/tests/test_export.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 tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fair... | 4,002 | 32.082645 | 86 | py |
sign-topic | sign-topic-main/tests/test_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.
import functools
import unittest
from typing import Any, Dict, Sequence
import fairseq
import fairseq.options
import fairseq.tasks
import tor... | 11,291 | 31.730435 | 93 | py |
sign-topic | sign-topic-main/tests/test_online_backtranslation.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 tempfile
import unittest
from pathlib import Path
from typing import Any, Dict, Sequence
import fairseq.data.indexed_dataset as indexe... | 7,650 | 35.961353 | 86 | py |
sign-topic | sign-topic-main/tests/test_backtranslation_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 unittest
import tests.utils as test_utils
import torch
from fairseq.data import (
BacktranslationDataset,
LanguagePairDataset,... | 4,140 | 32.395161 | 85 | py |
sign-topic | sign-topic-main/tests/test_fp16_optimizer.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 copy
import logging
import unittest
import torch
from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficientFP16Optimizer
... | 3,571 | 30.892857 | 87 | py |
sign-topic | sign-topic-main/tests/test_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.
import argparse
import math
import tempfile
import unittest
import numpy as np
import torch
import tests.utils as test_utils
from fairseq im... | 27,810 | 36.330201 | 92 | py |
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