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 | fairseq/optim/composite.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 collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, Any, List, Optional
impo... | 274 | 10,705 |
fairseq | fairseq/optim/adafactor.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adafactor")
clas... | 269 | 10,900 |
fairseq | fairseq/optim/dynamic_loss_scaler.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.
class DynamicLossScaler(object):
def __init__(
self,
init_scale=2.0**15,
scale_factor=2.0,
scale_window=2... | 71 | 2,635 |
fairseq | fairseq/optim/adam.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
from collections.abc import Collection
from dataclasses import dataclass, field
from typing import Any, List
impor... | 240 | 9,184 |
fairseq | fairseq/optim/fairseq_optimizer.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.dataclass.utils import gen_parser_from_dataclass
from collections import defaultdict
cla... | 188 | 6,669 |
fairseq | fairseq/optim/adadelta.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adadelta")
class Adadelta(LegacyFairseqOpt... | 48 | 1,835 |
fairseq | fairseq/optim/__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.
"""isort:skip_file"""
import importlib
import os
from fairseq import registry
from fairseq.optim.bmuf import FairseqBMUF # noqa
from fairseq... | 49 | 1,552 |
fairseq | fairseq/optim/fp16_optimizer.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 collections import defaultdict
from itertools import chain
import torch
from omegaconf import DictConfig
from fairseq import optim
fro... | 559 | 21,708 |
fairseq | fairseq/optim/nag.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 collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
import torch
from fairseq.dataclass i... | 112 | 3,731 |
fairseq | fairseq/optim/amp_optimizer.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 torch
from fairseq import optim
from omegaconf import DictConfig
logger = logging.getLogger(__name__)
class AMPOptim... | 107 | 3,536 |
fairseq | fairseq/optim/fused_adam.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 types
import torch
def get_fused_adam_class():
"""
Look for the FusedAdam optimizer from apex. We first try to load the
... | 390 | 15,279 |
fairseq | fairseq/optim/shard.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 Any, Dict
from fairseq.distributed import utils
try:
from fairscale.optim import OSS
_has_fairscale = True
exce... | 59 | 1,624 |
fairseq | fairseq/optim/adagrad.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adagrad")
class Adagrad(LegacyFairseqOptim... | 41 | 1,279 |
fairseq | fairseq/optim/sgd.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("sgd")
class SGD(LegacyFairseqOptimizer):
... | 44 | 1,442 |
fairseq | fairseq/optim/cpu_adam.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
from collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
import torch
from fa... | 211 | 6,795 |
fairseq | fairseq/optim/fused_lamb.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.optim import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("lamb")
class FairseqLAMB(LegacyFairseqOptimizer):
... | 52 | 1,834 |
fairseq | fairseq/optim/adamax.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
import torch.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adamax")
class FairseqAdamax(... | 173 | 6,225 |
fairseq | fairseq/optim/bmuf.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 dataclasses import dataclass, field
import torch
import torch.distributed as dist
from fairseq.dataclass.configs import FairseqBMUFConfi... | 201 | 7,449 |
fairseq | fairseq/optim/lr_scheduler/pass_through.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 dataclasses import dataclass
from fairseq.dataclass import FairseqDataclass
from fairseq.optim.lr_scheduler import FairseqLRScheduler, r... | 40 | 1,445 |
fairseq | fairseq/optim/lr_scheduler/triangular_lr_scheduler.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, field
from typing import List
from omegaconf import II
from fairseq.dataclass import FairseqD... | 84 | 2,760 |
fairseq | fairseq/optim/lr_scheduler/fixed_schedule.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 dataclasses import dataclass, field
from typing import Optional, List
from omegaconf import II
from fairseq.dataclass import FairseqData... | 77 | 2,643 |
fairseq | fairseq/optim/lr_scheduler/cosine_lr_scheduler.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 collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
... | 147 | 5,247 |
fairseq | fairseq/optim/lr_scheduler/__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.
"""isort:skip_file"""
import importlib
import os
from fairseq import registry
from fairseq.optim.lr_scheduler.fairseq_lr_scheduler import ( ... | 37 | 1,053 |
fairseq | fairseq/optim/lr_scheduler/polynomial_decay_schedule.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 dataclasses import dataclass, field
from typing import Optional, List
from omegaconf import II
from fairseq.dataclass import FairseqData... | 90 | 3,302 |
fairseq | fairseq/optim/lr_scheduler/fairseq_lr_scheduler.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 argparse import Namespace
from fairseq.dataclass.utils import gen_parser_from_dataclass
from fairseq.optim import FairseqOptimizer
cla... | 60 | 2,031 |
fairseq | fairseq/optim/lr_scheduler/reduce_lr_on_plateau.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 dataclasses import dataclass, field
from typing import List
import torch.optim.lr_scheduler
from omegaconf import II
from fairseq.datac... | 144 | 5,047 |
fairseq | fairseq/optim/lr_scheduler/step_lr_scheduler.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 collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
from fairse... | 86 | 3,154 |
fairseq | fairseq/optim/lr_scheduler/tri_stage_lr_scheduler.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, field
from typing import Optional, List, Tuple
from omegaconf import II
from fairseq.dataclass... | 176 | 5,766 |
fairseq | fairseq/optim/lr_scheduler/manual_lr_scheduler.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 . import LegacyFairseqLRScheduler, register_lr_scheduler
import logging
import ast
logger = logging.getLogger(__name__)
logger.setLevel(... | 122 | 4,174 |
fairseq | fairseq/optim/lr_scheduler/inverse_square_root_schedule.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 collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
from fairse... | 86 | 3,228 |
fairseq | examples/byte_level_bpe/gru_transformer.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.
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the r... | 108 | 5,027 |
fairseq | examples/byte_level_bpe/get_bitext.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 os
import os.path as op
from collections import namedtuple
from multiprocessing import cpu_count
from typing import Li... | 255 | 7,993 |
fairseq | examples/unsupervised_quality_estimation/aggregate_scores.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 sys
import numpy as np
aggregate_funcs = {
"std": np.std,
"var": np.var,
"median": np.median,
"mean"... | 42 | 1,136 |
fairseq | examples/unsupervised_quality_estimation/meteor.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 math
import os
import subprocess
import sys
import tempfile
from collections import defaultdict
from itertools import c... | 110 | 3,472 |
fairseq | examples/unsupervised_quality_estimation/repeat_lines.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 sys
def _normalize_spaces(line):
return " ".join(line.split())
def main():
parser = argparse.ArgumentParser... | 29 | 828 |
fairseq | examples/truncated_bptt/truncated_bptt_lm_task.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 dataclasses import dataclass, field
from typing import List, Optional, Tuple
import torch
from fairseq import u... | 286 | 9,995 |
fairseq | examples/truncated_bptt/transformer_xl_model.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, field
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import Fa... | 144 | 4,738 |
fairseq | examples/megatron_11b/detok.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 fileinput
import sacremoses
def main():
parser = argparse.ArgumentParser(description="... | 33 | 825 |
fairseq | examples/roberta/preprocess_RACE.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import re
class InputExample:
def __init__(self, paragrap... | 103 | 3,429 |
fairseq | examples/roberta/multiprocessing_bpe_encoder.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import contextlib
import sys
from collections import Counter
from multiprocessing imp... | 131 | 3,782 |
fairseq | examples/roberta/commonsense_qa/commonsense_qa_task.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 json
import os
import numpy as np
import torch
from fairseq.data import (
Dictionary,
IdDataset,
ListDataset,
NestedDi... | 191 | 6,147 |
fairseq | examples/roberta/wsc/wsc_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 json
from functools import lru_cache
def convert_sentence_to_json(sentence):
if "_" in sentence:
prefix, rest = sentence.... | 242 | 8,352 |
fairseq | examples/roberta/wsc/wsc_task.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 json
import os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.... | 402 | 13,524 |
fairseq | examples/roberta/wsc/wsc_criterion.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.functional as F
from fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, reg... | 168 | 6,037 |
fairseq | examples/laser/laser_src/laser_lstm.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
import torch.nn as nn
import torch.nn.functional as F
from fairseq import options, utils
from fairseq.models import (
Fairs... | 586 | 20,672 |
fairseq | examples/laser/laser_src/laser_transformer.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 typing import Any, Dict, List, Optional
from torch import Tensor
import torch
import torch.nn as nn
from fairseq.models... | 355 | 11,947 |
fairseq | examples/laser/laser_src/laser_task.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 collections import OrderedDict, defaultdict
import json
import os
import logging
from argparse import ArgumentError
from fairseq import... | 335 | 11,108 |
fairseq | examples/laser/laser_src/multitask_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 collections import OrderedDict
import numpy as np
from fairseq.data import BaseWrapperDataset, FairseqDataset, iterators
class MultiI... | 144 | 4,332 |
fairseq | examples/wav2vec/wav2vec_featurize.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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | 250 | 7,020 |
fairseq | examples/wav2vec/wav2vec_manifest.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.
"""
Data pre-processing: build vocabularies and binarize training data.
"""
import argparse
import glob
import os
impor... | 88 | 2,513 |
fairseq | examples/wav2vec/libri_labels.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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | 57 | 1,875 |
fairseq | examples/wav2vec/vq-wav2vec_featurize.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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | 251 | 7,680 |
fairseq | examples/wav2vec/unsupervised/w2vu_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.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
from collections import namedtuple
fr... | 715 | 22,454 |
fairseq | examples/wav2vec/unsupervised/kaldi_self_train/st/local/prepare_data_from_w2v.py | .py | import kaldi_io
import numpy as np
import os
def get_parser():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("w2v_dir", help="wav2vec feature and text directory")
parser.add_argument("tar_root", help="output data directory in kaldi's format")
parser.add_argument("split", h... | 57 | 2,137 |
fairseq | examples/wav2vec/unsupervised/kaldi_self_train/st/local/unsup_select.py | .py | """
Implement unsupervised metric for decoding hyperparameter selection:
$$ alpha * LM_PPL + ViterbitUER(%) * 100 $$
"""
import argparse
import logging
import math
import sys
import kenlm
import editdistance
from g2p_en import G2p
logging.root.setLevel(logging.INFO)
logging.basicConfig(stream=sys.stdout, level=lo... | 136 | 4,767 |
fairseq | examples/wav2vec/unsupervised/kaldi_self_train/st/local/copy_aligned_text.py | .py | import sys
for idx, line in enumerate(sys.stdin):
print(f"utt{idx:010d} {line}", end='') | 4 | 93 |
fairseq | examples/wav2vec/unsupervised/tasks/unpaired_audio_text.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 dataclasses import dataclass,... | 453 | 15,658 |
fairseq | examples/wav2vec/unsupervised/tasks/__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.
from .unpaired_audio_text import UnpairedAudioText
__all__ = [
"UnpairedAudioText",
]
| 12 | 270 |
fairseq | examples/wav2vec/unsupervised/scripts/vads.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 sys
from copy import deepcopy
from scipy.signal import lfilter
import numpy as np
from tqdm... | 99 | 2,569 |
fairseq | examples/wav2vec/unsupervised/scripts/filter_lexicon.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 sys
from fairseq.data import Dictionary
def get_parser():
parser = argparse.ArgumentPa... | 41 | 939 |
fairseq | examples/wav2vec/unsupervised/scripts/wav2vec_apply_cluster_faiss.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 os
import os.path as osp
import numpy as np
import tqdm
import torch
import sys
import faiss... | 129 | 4,015 |
fairseq | examples/wav2vec/unsupervised/scripts/wav2vec_extract_features.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 os
import os.path as osp
import tqdm
import torch
import torch.nn.functional as F
from shutil... | 120 | 3,673 |
fairseq | examples/wav2vec/unsupervised/scripts/merge_clusters.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 os
import os.path as osp
import numpy as np
import tqdm
import torch
import random
from shuti... | 115 | 3,543 |
fairseq | examples/wav2vec/unsupervised/scripts/wer.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.
"""
Implement unsupervised metric for decoding hyperparameter selection:
$$ alpha * LM_PPL + ViterbitUER(%) * 10... | 83 | 2,264 |
fairseq | examples/wav2vec/unsupervised/scripts/normalize_and_filter_text.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 fasttext as ft
import os
import regex
import sys
def get_parser():
parser = argparse.Argum... | 73 | 1,997 |
fairseq | examples/wav2vec/unsupervised/scripts/ltr_to_wrd.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 sys
def main():
for line in sys.stdin:
print(line.replace(" ", "").replace("|", " ").strip())
... | 17 | 359 |
fairseq | examples/wav2vec/unsupervised/scripts/filter_tsv.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 os
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("--tsv", required=True... | 38 | 955 |
fairseq | examples/wav2vec/unsupervised/scripts/pca.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 os
import os.path as osp
import numpy as np
import faiss
def get_parser():
parser = a... | 54 | 1,471 |
fairseq | examples/wav2vec/unsupervised/scripts/phonemize_with_sil.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 numpy as np
import sys
def get_parser():
parser = argparse.ArgumentParser(
desc... | 84 | 2,045 |
fairseq | examples/wav2vec/unsupervised/scripts/wrd_to_ltr.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 sys
def main():
for line in sys.stdin:
print(" ".join(list(line.strip().replace(" ", "|"))) + "... | 17 | 365 |
fairseq | examples/wav2vec/unsupervised/scripts/wav2vec_cluster_faiss.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 gc
import os
import os.path as osp
import random
import numpy as np
import tqdm
import torch
... | 211 | 6,315 |
fairseq | examples/wav2vec/unsupervised/scripts/remove_silence.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.
"""
get intervals from .vads file, specify output data, and this script removes silences and saves the audio data in... | 64 | 1,927 |
fairseq | examples/wav2vec/unsupervised/scripts/mean_pool.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 os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
import torch... | 100 | 3,187 |
fairseq | examples/wav2vec/unsupervised/scripts/apply_pca.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 os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
from shutil ... | 77 | 2,496 |
fairseq | examples/wav2vec/unsupervised/scripts/normalize_text.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 regex
import sys
def main():
filter_r = regex.compile(r"[^\p{L}\p{N}\p{M}\' \-]")
for line in sys.std... | 23 | 489 |
fairseq | examples/wav2vec/unsupervised/scripts/g2p_wrd_to_phn.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 sys
from g2p_en import G2p
def main():
parser = argparse.ArgumentParser()
parser.a... | 46 | 1,104 |
fairseq | examples/wav2vec/unsupervised/data/extracted_features_dataset.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 contextlib
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = l... | 168 | 5,038 |
fairseq | examples/wav2vec/unsupervised/data/__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.
from .extracted_features_dataset import ExtractedFeaturesDataset
from .random_input_dataset import RandomInputDataset
__all__ = [
"Extra... | 14 | 370 |
fairseq | examples/wav2vec/unsupervised/data/random_input_dataset.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 random
from typing import List
from fairseq.data import BaseWrapperDataset, data_utils
class RandomInputDataset(BaseWrapperDataset):... | 63 | 1,905 |
fairseq | examples/wav2vec/unsupervised/models/wav2vec_u.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 dataclasses import dataclass
from enum import Enum, auto
import math
import numpy as np
from typing import Tuple, List, Optional, Dict
i... | 688 | 22,945 |
fairseq | examples/wav2vec/unsupervised/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.
from .wav2vec_u import Wav2vec_U
__all__ = [
"Wav2vec_U",
]
| 12 | 244 |
fairseq | examples/wav2vec/xlsr/scripts/eval_speaker_clf_task.py | .py | """
Usage:
This scripts it to evaluate the classification accuracy/error rate from the embedding extracted
by gen_audio_embedding.py
Example (LID classification)
PYTHONPATH='.' python examples/wav2vec/eval_speaker_clf_task.py \
--data /fsx/androstj/exps/lid_voxlingua/infer/atj_xlsr2_100pct... | 174 | 6,786 |
fairseq | examples/wav2vec/xlsr/scripts/gen_audio_embedding.py | .py | """
Usage:
This script is used to extract the embedding / logit for speech classification task.
1. Set fdir into your model checkpoint directory
2. Run the following command (preferrably on GPU machine to speed up the inference process)
CUDA_VISIBLE_DEVICES=0 python3 examples/wav2vec/gen_audio_embeddin... | 223 | 9,209 |
fairseq | examples/bart/summarize.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.models.bart import BARTModel
import argparse
XSUM_KWARGS = dict(beam=6, lenpen=1.0, max_len_b=60, min_len=10, no_re... | 101 | 3,174 |
fairseq | examples/m2m_100/process_data/clean_histogram.py | .py | import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--src', type=str, help='Source language')
parser.add_argument('--tgt', type=str, help='Target language')
parser.add_argument('--src-file', type=str, help='Input source file')
parser.add_argument('--tgt-file', type=str, help='Input target file')
pa... | 52 | 2,010 |
fairseq | examples/m2m_100/process_data/dedup_data.py | .py | import argparse
from collections import namedtuple
import os
DATADIR = "/path/to/train_data"
DEDUP_FROM_DIR = "/path/to/eval/data"
OUTPUT_DIR = "/path/to/output/data"
def main(args):
languages = set()
for language_directory in os.listdir(DATADIR):
if "_" in language_directory:
src, tgt = ... | 92 | 3,132 |
fairseq | examples/m2m_100/process_data/remove_too_much_punc.py | .py | import gzip
import argparse
from string import punctuation
def len_no_punc(s, punc):
return len([ch for ch in s if ch in punc])
def filter_overpunc(len_npunc, len_sen):
return len_npunc < 0.5*len_sen
def main(args):
punc = punctuation + "—|–"
print('Processing file {}'.format(args.input))
with gz... | 37 | 1,545 |
fairseq | examples/m2m_100/tokenizers/tokenize_indic.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.
# Use: echo {text} | python tokenize_indic.py {language}
import sys
from indicnlp.normalize.indic_normalize import In... | 24 | 727 |
fairseq | examples/textless_nlp/dgslm/dgslm_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 numpy as np
import torch
import json
from fairseq import utils
from fairseq.models.text_to_speech.vocoder import CodeHiFiGANVocoder
#... | 79 | 2,671 |
fairseq | examples/textless_nlp/dgslm/sample_speech_dlm.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 ast
import argparse
import logging
import torch
from fairseq import utils
from fairseq.models.speech_dlm import SpeechDLM
l... | 203 | 7,422 |
fairseq | examples/textless_nlp/dgslm/create_code_file.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
def main():
"""
Create code file with the following format:
{'audio': 'file1', 'unitA': 'file1_chnl1_units',... | 80 | 2,487 |
fairseq | examples/textless_nlp/dgslm/vocoder_hifigan/generate_stereo_waveform.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 ast
import argparse
import json
import logging
from pathlib import Path
import soundfile as sf
import torch
from tqdm import tqdm
fro... | 138 | 3,949 |
fairseq | examples/textless_nlp/pgslm/quantize_f0.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 collections import defaultdict
from functools import partial
import numpy as np
import torch
from tqdm import tqdm
from data_utils impor... | 95 | 3,064 |
fairseq | examples/textless_nlp/pgslm/inference_dataset.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
class InferenceDataset:
def __init__(
self,
dataset,
prefix,
only_prefix=True,
pres... | 104 | 3,068 |
fairseq | examples/textless_nlp/pgslm/generate_waveform.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 ast
import argparse
import json
import logging
from pathlib import Path
import soundfile as sf
import torch
from tqdm import tqdm
fro... | 121 | 3,312 |
fairseq | examples/textless_nlp/pgslm/prepare_dataset.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 multiprocessing import Pool
import os
from collections import defaultdict
from itertools import starmap
import torch
from npy_append_arr... | 144 | 4,623 |
fairseq | examples/textless_nlp/pgslm/preprocess_f0.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 torch
from tqdm import tqdm
from data_utils import load_audio_path
from fairseq.data.codedataset import get_f0_by_filename
d... | 66 | 1,872 |
fairseq | examples/textless_nlp/pgslm/naive_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.
import torch
import warnings
class Naive_F0_Decoder(torch.nn.Module):
def __init__(self, bounds_path, n_units=32):
super().__init... | 41 | 1,495 |
fairseq | examples/textless_nlp/pgslm/truncated_laplace.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
import warnings
def truncated_laplace(mean, T, truncate_by_zero=False):
"""Generating a sample from a Laplace distribution, ... | 30 | 1,060 |
fairseq | examples/textless_nlp/pgslm/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 os
import torch
from tqdm import tqdm
class Stat:
def __init__(self, keep_raw=False):
self.x = 0.0
self.x2 = 0.0
... | 108 | 2,568 |
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