repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
fairseq | examples/data2vec/models/modalities/base.py | .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 math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import named... | 685 | 22,253 |
fairseq | examples/paraphraser/paraphrase.py | .py | #!/usr/bin/env python3 -u
import argparse
import fileinput
import logging
import os
import sys
from fairseq.models.transformer import TransformerModel
logging.getLogger().setLevel(logging.INFO)
def main():
parser = argparse.ArgumentParser(description="")
parser.add_argument("--en2fr", required=True, help=... | 86 | 2,408 |
fairseq | examples/speech_to_speech/generate_waveform_from_code.py | .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
... | 117 | 3,285 |
fairseq | examples/speech_to_speech/preprocessing/prep_s2ut_data.py | .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 soundfile as sf
from tqdm import tqdm
import pandas as ... | 115 | 3,554 |
fairseq | examples/speech_to_speech/preprocessing/prep_sn_output_data.py | .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
from pathlib import Path
from tqdm import tqdm
def process(args):
args.output_root.mkdir(exist_o... | 59 | 1,455 |
fairseq | examples/speech_to_speech/preprocessing/prep_s2spect_data.py | .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 ... | 170 | 5,844 |
fairseq | examples/speech_to_speech/preprocessing/prep_sn_data.py | .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.
#
# Adapted from examples/wav2vec/wav2vec_manifest.py
"""
Data preparation for the speech normalizer
"""
import argpars... | 89 | 2,735 |
fairseq | examples/speech_to_speech/preprocessing/data_utils.py | .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 pathlib import Path
from typing import List, Optional
from examples.speech_to_text.data_utils import S2TDataConfigWriter
def gen_confi... | 89 | 2,592 |
fairseq | examples/speech_to_speech/benchmarking/get_metrics.py | .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... | 163 | 5,053 |
fairseq | examples/speech_to_speech/benchmarking/data_utils.py | .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... | 265 | 7,893 |
fairseq | examples/speech_to_speech/benchmarking/core.py | .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... | 488 | 17,782 |
fairseq | examples/speech_to_speech/unity/sequence_generator_multi_decoder.py | .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 torch
import torch.nn as nn
from torch import Tensor
from fairseq import search
class Multi... | 268 | 10,097 |
fairseq | examples/speech_to_speech/unity/sequence_generator.py | .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 sys
from typing import Dict, List, Optional
import torch
from torch import Tensor
from fairseq.sequence_generator import ... | 627 | 25,480 |
fairseq | examples/speech_to_speech/asr_bleu/utils.py | .py | import json
import re
import urllib.request
from pathlib import Path
import fairseq
import torch
from fairseq.data.data_utils import lengths_to_padding_mask
from tqdm import tqdm
try:
import torchaudio
from torchaudio.models.decoder import ctc_decoder
except ImportError:
raise ImportError("Upgrade torchau... | 307 | 10,133 |
fairseq | examples/speech_to_speech/asr_bleu/compute_asr_bleu.py | .py | import os
from typing import Dict, List
import sacrebleu
import pandas as pd
from glob import glob
from pathlib import Path
from utils import retrieve_asr_config, ASRGenerator
from tqdm import tqdm
from argparse import ArgumentParser
def merge_tailo_init_final(text):
"""
Hokkien ASR hypothesis post-processing... | 245 | 8,273 |
fairseq | examples/adaptive_span/adaptive_span_loss.py | .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 utils
from fairseq.logging import metrics
f... | 108 | 4,260 |
fairseq | examples/adaptive_span/adaptive_span_attention.py | .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... | 161 | 5,881 |
fairseq | examples/adaptive_span/__init__.py | .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 importlib
import os
# automatically import any Python files in the current directory
cur_dir = os.path.dirname(__file__)
for file in o... | 20 | 669 |
fairseq | examples/adaptive_span/adaptive_span_model_wrapper.py | .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... | 146 | 4,692 |
fairseq | examples/adaptive_span/adagrad_with_grad_clip.py | .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... | 129 | 4,374 |
fairseq | examples/adaptive_span/adaptive_span_model.py | .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... | 264 | 8,540 |
fairseq | examples/simultaneous_translation/eval/agents/simul_t2t_enja.py | .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... | 227 | 7,099 |
fairseq | examples/simultaneous_translation/tests/test_alignment_train.py | .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... | 89 | 2,989 |
fairseq | examples/simultaneous_translation/tests/test_text_models.py | .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",
"... | 408 | 13,537 |
fairseq | examples/simultaneous_translation/utils/p_choose_strategy.py | .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_... | 127 | 3,445 |
fairseq | examples/simultaneous_translation/utils/monotonic_attention.py | .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
):
... | 181 | 4,987 |
fairseq | examples/simultaneous_translation/utils/__init__.py | .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 importlib
import os
# automatically import any Python files in the criterions/ directory
for file in sorted(os.listdir(os.path.dirnam... | 15 | 520 |
fairseq | examples/simultaneous_translation/utils/functions.py | .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."
)
... | 126 | 3,539 |
fairseq | examples/simultaneous_translation/modules/monotonic_transformer_layer.py | .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... | 183 | 7,265 |
fairseq | examples/simultaneous_translation/modules/__init__.py | .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 importlib
from fairseq import registry
(
build_monotonic_attention,
register_monotonic_attention,
MONOTONIC_ATT... | 24 | 665 |
fairseq | examples/simultaneous_translation/modules/monotonic_multihead_attention.py | .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... | 521 | 16,898 |
fairseq | examples/simultaneous_translation/modules/fixed_pre_decision.py | .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... | 191 | 7,370 |
fairseq | examples/simultaneous_translation/models/transformer_monotonic_attention.py | .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... | 303 | 10,185 |
fairseq | examples/simultaneous_translation/models/__init__.py | .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 importlib
import os
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_... | 16 | 482 |
fairseq | examples/simultaneous_translation/models/convtransformer_simul_trans.py | .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... | 205 | 7,162 |
fairseq | examples/constrained_decoding/normalize.py | .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 sys
from sacremoses.normalize import MosesPunctNormalizer
def main(args):
normalizer = MosesPunctNormal... | 28 | 698 |
fairseq | examples/constrained_decoding/tok.py | .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 sys
import sacremoses
def main(args):
"""Tokenizes, preserving tabs"""
mt = sacremoses.MosesTokeniz... | 35 | 844 |
fairseq | examples/criss/save_encoder.py | .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... | 215 | 7,473 |
fairseq | examples/criss/sentence_retrieval/encoder_analysis.py | .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 glob
import numpy as np
DIM = 1024
def compute_dist(source_embs, target_embs, k=5, return... | 93 | 3,278 |
fairseq | examples/criss/mining/mine.py | .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 glob
from subprocess import check_call
try:
import faiss
has_faiss = True
except Imp... | 241 | 8,138 |
fairseq | examples/speech_to_text/prep_mtedx_data.py | .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... | 272 | 10,168 |
fairseq | examples/speech_to_text/seg_mustc_data.py | .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 soundfile as sf
from examples.speech_to_text.prep_mustc_... | 55 | 1,645 |
fairseq | examples/speech_to_text/prep_covost_data.py | .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... | 280 | 8,909 |
fairseq | examples/speech_to_text/prep_mustc_data.py | .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... | 295 | 11,080 |
fairseq | examples/speech_to_text/prep_librispeech_data.py | .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... | 120 | 3,623 |
fairseq | examples/speech_to_text/data_utils.py | .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, ... | 384 | 12,272 |
fairseq | examples/speech_to_text/simultaneous_translation/agents/fairseq_simul_st_agent.py | .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... | 364 | 12,193 |
fairseq | examples/noisychannel/rerank_score_bw.py | .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 contextlib import redirect_stdout
from fairseq import options
from fairseq_cli import generate
from examples.noisychannel imp... | 144 | 4,212 |
fairseq | examples/noisychannel/rerank_generate.py | .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.
"""
Generate n-best translations using a trained model.
"""
import os
import subprocess
from contextlib import redi... | 398 | 14,157 |
fairseq | examples/noisychannel/rerank.py | .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 multiprocessing import Pool
import numpy as np
from fairseq import options
from fairseq.data import dictionary
from fairseq.... | 429 | 14,097 |
fairseq | examples/noisychannel/rerank_utils.py | .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 os
import re
import subprocess
from contextlib import redirect_stdout
from fairseq import options
from fairseq_cli import ... | 851 | 28,678 |
fairseq | examples/noisychannel/rerank_score_lm.py | .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 options
from examples.noisychannel import rerank_options, rerank_utils
def score_lm(args):
using_nbest =... | 82 | 2,253 |
fairseq | examples/noisychannel/rerank_options.py | .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 import options
def get_reranking_parser(default_task="translation"):
parser = options.get_parser("Generation and reranking"... | 150 | 7,537 |
fairseq | examples/noisychannel/rerank_tune.py | .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 random
import numpy as np
from fairseq import options
from examples.noisychannel import rerank, rerank_options
def ... | 103 | 3,166 |
fairseq | examples/mms/lid/infer.py | .py | import torch
from fairseq.data.text_compressor import TextCompressionLevel, TextCompressor
from fairseq import checkpoint_utils, distributed_utils, options, utils
from fairseq import checkpoint_utils, data, options, tasks
from fairseq.data import FileAudioDataset, AddTargetDataset, Dictionary
from fairseq.tasks.audio_c... | 198 | 7,071 |
fairseq | examples/mms/data_prep/align_and_segment.py | .py | import os
import torch
import torchaudio
import sox
import json
import argparse
from examples.mms.data_prep.text_normalization import text_normalize
from examples.mms.data_prep.align_utils import (
get_uroman_tokens,
time_to_frame,
load_model_dict,
merge_repeats,
get_spans,
)
import torchaudio.fun... | 193 | 6,168 |
fairseq | examples/mms/data_prep/norm_config.py | .py | import os
import re
colon = ":"
comma = ","
exclamation_mark = "!"
period = re.escape(".")
question_mark = re.escape("?")
semicolon = ";"
left_curly_bracket = "{"
right_curly_bracket = "}"
quotation_mark = '"'
basic_punc = (
period
+ question_mark
+ comma
+ colon
+ exclamation_mark
+ left_cu... | 278 | 6,532 |
fairseq | examples/mms/data_prep/align_utils.py | .py | import re
import os
import torch
import tempfile
import math
from dataclasses import dataclass
from torchaudio.models import wav2vec2_model
# iso codes with specialized rules in uroman
special_isos_uroman = "ara, bel, bul, deu, ell, eng, fas, grc, ell, eng, heb, kaz, kir, lav, lit, mkd, mkd2, oss, pnt, pus, rus, srp,... | 177 | 5,656 |
fairseq | examples/mms/data_prep/text_normalization.py | .py | import json
import re
import unicodedata
from examples.mms.data_prep.norm_config import norm_config
def text_normalize(text, iso_code, lower_case=True, remove_numbers=True, remove_brackets=False):
"""Given a text, normalize it by changing to lower case, removing punctuations, removing words that only contain di... | 93 | 2,779 |
fairseq | examples/mms/lid_rerank/mms-zs/falign.py | .py | import os
import tempfile
import re
import librosa
import torch
import json
import numpy as np
import argparse
from tqdm import tqdm
import math
from transformers import Wav2Vec2ForCTC, AutoProcessor
from lib import falign_ext
parser = argparse.ArgumentParser()
parser.add_argument("--uroman_txt", type=str)
parser.ad... | 87 | 2,515 |
fairseq | examples/mms/lid_rerank/mms-zs/lib.py | .py | import os
from dataclasses import dataclass
import torch
import torch.utils.cpp_extension
cuda_source = """
#include <ATen/core/TensorAccessor.h>
#include <ATen/cuda/CUDAContext.h>
#include <torch/extension.h>
#include <vector>
#include <limits.h>
#include <cub/cub.cuh>
#include <iostream>
using namespace torch::ind... | 239 | 7,559 |
fairseq | examples/mms/lid_rerank/mms-zs/uromanize.py | .py | import os
import tempfile
import re
import argparse
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument("--txt", type=str)
parser.add_argument("--lid", type=str)
parser.add_argument("--dst", type=str)
parser.add_argument("--model", type=str)
args = parser.parse_args()
UROMAN_PL = args.model +... | 70 | 2,106 |
fairseq | examples/mms/lid_rerank/nllb/infer.py | .py | #!/usr/bin/env python3
# -*- encoding: utf8 -*-
import fasttext
from tqdm import tqdm
import argparse
import os
import math
parser = argparse.ArgumentParser()
parser.add_argument("--txt", type=str)
parser.add_argument("--dst", type=str)
parser.add_argument("--model", type=str)
parser.add_argument('--lid', type=str)
ar... | 46 | 1,478 |
fairseq | examples/mms/lid_rerank/rerank/tune_coefficients.py | .py | import argparse
import os
from tqdm import tqdm
import numpy as np
import editdistance
from multiprocessing import Pool
from functools import partial
cer_langs = [x.strip() for x in open("cer_langs.txt", "r").readlines()]
def compute(w, feats, ref_lid, nbest_lid, ref_asr, nbest_asr, n=10, exclude=None):
assert le... | 138 | 5,337 |
fairseq | examples/mms/lid_rerank/rerank/rerank.py | .py | import argparse
import json
from collections import defaultdict
import os
from tqdm import tqdm
import sys
import subprocess
import re
import math
import numpy as np
import editdistance
from sklearn.preprocessing import StandardScaler
from multiprocessing import Pool
from functools import partial
import random
cer_lan... | 133 | 4,709 |
fairseq | examples/mms/lid_rerank/mms/prep_wav_list.py | .py | import soundfile as sf
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Example argument parser')
parser.add_argument('--src', type=str)
parser.add_argument('--dst', type=str)
args = parser.parse_args()
wavs = [x.strip() for x in open(args.src, "r").readline... | 24 | 674 |
fairseq | examples/mms/lid_rerank/mms/run_single_lang.py | .py | import argparse
import json
from collections import defaultdict
import os
from tqdm import tqdm
import sys
import subprocess
import re
mapping = {"cmn":"cmn-script_simplified", "srp":"srp-script_latin", "urd":"urd-script_arabic", "uzb":"uzb-script_latin", "yue":"yue-script_traditional", "aze":"azj-script_latin", "kmr"... | 65 | 2,922 |
fairseq | examples/mms/lid_rerank/mms/make_parallel_single_runs.py | .py | import argparse
import json
from collections import defaultdict
import os
from tqdm import tqdm
import sys
import subprocess
import re
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Example argument parser')
parser.add_argument('--dump', type=str)
parser.add_argument('--model', ty... | 22 | 794 |
fairseq | examples/mms/lid_rerank/mms/merge_by_lang.py | .py | import argparse
import json
from collections import defaultdict
import os
import soundfile as sf
from tqdm import tqdm
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Example argument parser')
parser.add_argument('--exp', type=str)
parser.add_argument('--dump', type=str)
args =... | 33 | 1,294 |
fairseq | examples/mms/lid_rerank/mms/split_by_lang.py | .py | import argparse
import json
from collections import defaultdict
import os
import soundfile as sf
from tqdm import tqdm
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Example argument parser')
parser.add_argument('--wavs_tsv', type=str)
parser.add_argument('--lid_preds', type=str)
... | 90 | 3,284 |
fairseq | examples/mms/lid_rerank/mala/infer.py | .py | from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
from tqdm import tqdm
import argparse
import os
import torch
parser = argparse.ArgumentParser()
parser.add_argument("--txt", type=str)
parser.add_argument("--dst", type=str)
parser.add_argument("--gpu", type=int, default=1)
args = ... | 55 | 2,055 |
fairseq | examples/mms/lid_rerank/whisper/infer_lid.py | .py | #!/usr/bin/env python3
# -*- encoding: utf8 -*-
import argparse
import itertools
import os
import re
import sys
from pathlib import Path
import math
import whisper
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument("--wavs", type=str)
parser.add_argument("--dst", type=str)
parser.add_argum... | 65 | 2,072 |
fairseq | examples/mms/lid_rerank/whisper/infer_asr.py | .py | #!/usr/bin/env python3
# -*- encoding: utf8 -*-
import argparse
import itertools
import os
import re
import sys
from pathlib import Path
import whisper
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument("--wavs", type=str)
parser.add_argument("--lids", type=str)
parser.add_argument("--dst"... | 71 | 2,260 |
fairseq | examples/mms/tts/infer.py | .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 re
import glob
import json
import tempfile
import math
import torch
from torch import nn
from torch.nn import functional as F... | 156 | 5,802 |
fairseq | examples/mms/asr/infer/mms_infer.py | .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 argparse
import soundfile as sf
import tempfile
from pathlib import Path
import os
import subprocess
import sy... | 64 | 2,835 |
fairseq | examples/mms/misc/get_sample_size.py | .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.
"""
Usage:
$ python misc/get_sample_size.py <input_file> > <output_file>
<input_file> contains list of w... | 30 | 808 |
fairseq | examples/hubert/measure_teacher_quality.py | .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 os.path as op
import re
from tabulate import tabulate
from collections import Counter
def comp_purity(p_xy, axis):... | 242 | 6,826 |
fairseq | examples/hubert/update_ckpt.py | .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... | 23 | 873 |
fairseq | examples/hubert/simple_kmeans/dump_w2v2_feature.py | .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... | 96 | 3,129 |
fairseq | examples/hubert/simple_kmeans/dump_hubert_feature_s2t.py | .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
import io
import logging
import os
import os.path as op
import sys
from dump_hubert_feature import HubertFeatureReader
from featur... | 96 | 2,775 |
fairseq | examples/hubert/simple_kmeans/learn_kmeans.py | .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
from sklearn.cluster import MiniBatchKMeans
import joblib
logging.basicConfig(
f... | 147 | 4,000 |
fairseq | examples/hubert/simple_kmeans/feature_utils.py | .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 tqdm
from npy_append_array import NpyAppendArray
logging.basicConfig(
format="%(asctime)s | ... | 67 | 2,008 |
fairseq | examples/hubert/simple_kmeans/dump_hubert_feature.py | .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... | 94 | 3,120 |
fairseq | examples/hubert/simple_kmeans/dump_mfcc_feature.py | .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_... | 75 | 2,495 |
fairseq | examples/hubert/simple_kmeans/dump_km_label.py | .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 ... | 99 | 3,008 |
fairseq | examples/fast_noisy_channel/noisy_channel_sequence_generator.py | .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... | 843 | 41,200 |
fairseq | examples/fast_noisy_channel/noisy_channel_beam_search.py | .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... | 72 | 2,895 |
fairseq | examples/fast_noisy_channel/noisy_channel_translation.py | .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... | 128 | 6,709 |
fairseq | examples/backtranslation/extract_bt_data.py | .py | #!/usr/bin/env python
# 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 fileinput
from tqdm import tqdm
def main():
parser = argparse.ArgumentParser(
desc... | 73 | 2,509 |
fairseq | examples/backtranslation/deduplicate_lines.py | .py | #!/usr/bin/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 fileinput
import hashlib
import sys
from multiprocessing import Pool
def get_hashes_and_lines(raw_... | 42 | 1,221 |
fairseq | examples/linformer/linformer_src/modules/multihead_linear_attention.py | .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... | 482 | 19,151 |
fairseq | examples/linformer/linformer_src/modules/linformer_sentence_encoder_layer.py | .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... | 66 | 2,743 |
fairseq | examples/linformer/linformer_src/modules/linformer_sentence_encoder.py | .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... | 55 | 2,151 |
fairseq | examples/linformer/linformer_src/models/linformer_roberta.py | .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... | 121 | 4,143 |
fairseq | examples/audio_nlp/nlu/generate_manifests.py | .py | import argparse
from pathlib import Path
import soundfile
def get_insl_frame(parse):
out = []
def is_ont_token(tok):
return tok[0] in ["[", "]"];
res = []
x = []
for tok in parse.split():
if is_ont_token(tok):
res.extend('_'.join(x))
x = []
res.a... | 84 | 2,574 |
fairseq | examples/speech_text_joint_to_text/tasks/speech_text_denoise_pretrain.py | .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 re
from argparse import Namespace
from pathlib import Path
from fairseq.data import ConcatDataset, Dictionary,... | 655 | 25,554 |
fairseq | examples/speech_text_joint_to_text/tasks/speech_text_joint.py | .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... | 378 | 13,654 |
fairseq | examples/speech_text_joint_to_text/tasks/pair_denoising.py | .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
import logging
import os
import re
import numpy as np
import torch
from examples.speech_text_joint_to_text.data.pair_denois... | 448 | 15,550 |
fairseq | examples/speech_text_joint_to_text/criterions/__init__.py | .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 importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
... | 16 | 487 |
fairseq | examples/speech_text_joint_to_text/criterions/multi_modality_compound.py | .py | #
# 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 math
from dataclasses import dataclass, field
from fairseq import utils
from fairseq.logging import metrics
from fairseq.criterions import FairseqCriterion, register_crite... | 182 | 6,513 |
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