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/model_parallel/megatron_trainer.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.
"""
Train a network across multiple GPUs.
"""
from fairseq.dataclass.configs import FairseqConfig
from fairseq.distributed import utils as di... | 76 | 2,570 |
fairseq | fairseq/model_parallel/criterions/vocab_parallel_cross_entropy.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 fairseq import utils
from fairseq.logging import metrics
from fairseq.criterions import FairseqCriterion, register_criterion... | 89 | 3,184 |
fairseq | fairseq/model_parallel/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
# automatically import any Python files in the criterions/ directory
for file in sorted(os.listdir(os.path.dirnam... | 15 | 514 |
fairseq | fairseq/model_parallel/modules/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.model_parallel.modules import ModelParallelMultiheadAttention
from fairseq.modules import TransformerDecoderLayer, TransformerEnc... | 79 | 2,847 |
fairseq | fairseq/model_parallel/modules/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.
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from fairseq import utils... | 350 | 13,302 |
fairseq | fairseq/model_parallel/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.
"""isort:skip_file"""
from .multihead_attention import ModelParallelMultiheadAttention
from .transformer_layer import (
ModelParallelTrans... | 18 | 526 |
fairseq | fairseq/model_parallel/models/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
import torch.nn as nn
from fairseq.model_parallel.modules import (
ModelParallelTransformerDecoderLayer,
ModelParalle... | 122 | 3,905 |
fairseq | fairseq/model_parallel/models/transformer_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 torch.nn as nn
from fairseq.model_parallel.models.transformer import ModelParallelTransformerDecoder
from fairseq.models import regist... | 170 | 7,581 |
fairseq | fairseq/model_parallel/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
# automatically import any Python files in the models/ directory
models_dir = os.path.dirname(__file__)
for file ... | 21 | 701 |
fairseq | fairseq/model_parallel/models/roberta/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.
"""
RoBERTa: A Robustly Optimized BERT Pretraining Approach.
"""
import logging
import torch
import torch.nn as nn
import torch.nn.functional... | 226 | 8,003 |
fairseq | fairseq/model_parallel/models/pipeline_parallel_transformer/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
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.model_parallel.model... | 780 | 33,229 |
fairseq | fairseq/model_parallel/models/pipeline_parallel_transformer/layers.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 import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import option... | 601 | 22,687 |
fairseq | fairseq/dataclass/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 ast
import inspect
import logging
import os
import re
from argparse import ArgumentError, ArgumentParser, Namespace
from dataclasses im... | 511 | 19,408 |
fairseq | fairseq/dataclass/initialize.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 logging
from hydra.core.config_store import ConfigStore
from fairseq.dataclass.configs import FairseqConfig
from ... | 62 | 2,057 |
fairseq | fairseq/dataclass/__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 .configs import FairseqDataclass
from .constants import ChoiceEnum
__all__ = [
"FairseqDataclass",
"ChoiceEnum",
]
| 14 | 308 |
fairseq | fairseq/dataclass/configs.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 sys
from dataclasses import _MISSING_TYPE, dataclass, field
from typing import Any, List, Optional
import torch
from omegaco... | 1,148 | 40,197 |
fairseq | fairseq/dataclass/constants.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 enum import Enum, EnumMeta
from typing import List
class StrEnumMeta(EnumMeta):
# this is workaround for submitit pickling leading ... | 57 | 1,787 |
fairseq | fairseq/benchmark/dummy_mt.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 numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset
from fairseq.tasks import LegacyFairseqTa... | 120 | 3,677 |
fairseq | fairseq/benchmark/dummy_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 logging
from dataclasses import dataclass, field
from typing import Optional
import torch
from .dummy_dataset import DummyDataset
from... | 84 | 2,757 |
fairseq | fairseq/benchmark/dummy_masked_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 logging
from dataclasses import dataclass, field
from typing import Optional
import torch
from omegaconf import II
from .dummy_datase... | 95 | 3,123 |
fairseq | fairseq/benchmark/benchmark_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 itertools
import random
import torch
from torch.utils import benchmark
from fairseq.modules.multihead_attention import MultiheadAtten... | 173 | 4,828 |
fairseq | fairseq/benchmark/dummy_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 torch.nn as nn
import torch.nn.functional as F
from fairseq.data import Dictionary
from fairseq.models import (
FairseqDecoder,
... | 97 | 3,090 |
fairseq | fairseq/benchmark/dummy_dataset.py | .py | import numpy as np
from fairseq.data import FairseqDataset
class DummyDataset(FairseqDataset):
def __init__(self, batch, num_items, item_size):
super().__init__()
self.batch = batch
self.num_items = num_items
self.item_size = item_size
def __getitem__(self, index):
ret... | 37 | 803 |
fairseq | fairseq/logging/meters.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 bisect
import time
from collections import OrderedDict
from typing import Dict, Optional
try:
import torch
def type_as(a, b):... | 352 | 9,373 |
fairseq | fairseq/logging/metrics.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.
"""
A standalone module for aggregating metrics.
Metrics can be logged from anywhere using the `log_*` functions defined
in this module. The l... | 337 | 10,592 |
fairseq | fairseq/logging/progress_bar.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.
"""
Wrapper around various loggers and progress bars (e.g., tqdm).
"""
import atexit
import json
import logging
import os
import sys
from col... | 583 | 18,173 |
fairseq | fairseq/scoring/bertscore.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 numpy as np
from fairseq.dataclass import FairseqDataclass
from fairseq.scoring import BaseS... | 45 | 1,349 |
fairseq | fairseq/scoring/wer.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 fairseq.dataclass import FairseqDataclass
from fairseq.scoring import BaseScorer, register_scor... | 59 | 2,019 |
fairseq | fairseq/scoring/__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
from abc import ABC, abstractmethod
from fairseq import registry
from omegaconf import DictConfig
class BaseSco... | 56 | 1,399 |
fairseq | fairseq/scoring/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 numpy as np
from dataclasses import dataclass
from fairseq.dataclass import FairseqDataclass
from fairseq.scoring import BaseScorer, r... | 43 | 1,164 |
fairseq | fairseq/scoring/chrf.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.scoring import BaseScorer, register_scorer
@... | 37 | 954 |
fairseq | fairseq/scoring/tokenizer.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 unicodedata
import sacrebleu as sb
from fairseq.dataclass import ChoiceEnum
SACREBLEU_V2_ABOVE = int(sb.__version__[0]) >= 2
class... | 81 | 2,599 |
fairseq | fairseq/scoring/bleu.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 ctypes
import math
import sys
from dataclasses import dataclass, field
import torch
from fairseq.dataclass import FairseqDataclass
fro... | 169 | 5,347 |
fairseq | fairseq/data/round_robin_zip_datasets.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 OrderedDict
from typing import Dict, Sequence
import numpy as np
from . import FairseqDataset, Langua... | 161 | 6,381 |
fairseq | fairseq/data/offset_tokens_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 . import BaseWrapperDataset
class OffsetTokensDataset(BaseWrapperDataset):
def __init__(self, dataset, offset):
super().__i... | 16 | 444 |
fairseq | fairseq/data/add_target_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
from . import BaseWrapperDataset, data_utils
from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
cla... | 84 | 2,996 |
fairseq | fairseq/data/multi_corpus_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 asyncio
import logging
import time
from collections import OrderedDict
from typing import Dict, List, Optional
import numpy as np
fro... | 286 | 10,273 |
fairseq | fairseq/data/indexed_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 shutil
import struct
from functools import lru_cache
import numpy as np
import torch
from fairseq.dataclass.constants import DATASET_I... | 593 | 18,427 |
fairseq | fairseq/data/nested_dictionary_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 collections import OrderedDict
import torch
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
def ... | 126 | 4,029 |
fairseq | fairseq/data/denoising_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 math
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | 444 | 15,685 |
fairseq | fairseq/data/shorten_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 numpy as np
from fairseq.data import data_utils
from . import BaseWrapperDataset
class TruncateDataset(BaseWrapperDataset):
"""T... | 79 | 2,443 |
fairseq | fairseq/data/fasta_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 os
import subprocess
import threading
from pathlib import Path
import numpy as np
import torch
def fasta_file_path(prefix_path):
... | 92 | 2,599 |
fairseq | fairseq/data/roll_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
from . import BaseWrapperDataset
class RollDataset(BaseWrapperDataset):
def __init__(self, dataset, shifts):
super... | 19 | 485 |
fairseq | fairseq/data/numel_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 numpy as np
import torch
from . import BaseWrapperDataset
class NumelDataset(BaseWrapperDataset):
def __init__(self, dataset, re... | 32 | 786 |
fairseq | fairseq/data/resampling_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 numpy as np
from fairseq.data import BaseWrapperDataset, plasma_utils
logger = logging.getLogger(__name__)
class Re... | 140 | 4,314 |
fairseq | fairseq/data/add_class_target_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
from . import BaseWrapperDataset, data_utils
from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
cla... | 80 | 2,719 |
fairseq | fairseq/data/language_pair_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 numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = logging.getLogger(__name__)
d... | 478 | 19,102 |
fairseq | fairseq/data/fairseq_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 numpy as np
import torch.utils.data
from fairseq.data import data_utils
logger = logging.getLogger(__name__)
class Ep... | 206 | 7,123 |
fairseq | fairseq/data/sort_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 numpy as np
from . import BaseWrapperDataset
class SortDataset(BaseWrapperDataset):
def __init__(self, dataset, sort_order):
... | 22 | 621 |
fairseq | fairseq/data/token_block_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 numpy as np
import torch
from fairseq.data import FairseqDataset, plasma_utils
from fairseq.data.indexed_dataset import best_fitting_in... | 207 | 7,652 |
fairseq | fairseq/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.
"""isort:skip_file"""
from .dictionary import Dictionary, TruncatedDictionary
from .fairseq_dataset import FairseqDataset, FairseqIterableDat... | 138 | 4,622 |
fairseq | fairseq/data/dictionary.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 collections import Counter
from multiprocessing import Pool
import torch
from fairseq import utils
from fairseq.data import da... | 404 | 13,066 |
fairseq | fairseq/data/transform_eos_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
from . import FairseqDataset
class TransformEosDataset(FairseqDataset):
"""A :class:`~fairseq.data.FairseqDataset` wrapper... | 121 | 4,575 |
fairseq | fairseq/data/padding_mask_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
from fairseq.data import data_utils
from . import BaseWrapperDataset
class PaddingMaskDataset(BaseWrapperDataset):
def __i... | 39 | 1,082 |
fairseq | fairseq/data/speech_dlm_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 collections import OrderedDict
import numpy as np
import torch
from fairseq.data import FairseqDataset, MonolingualDataset, data_utils
... | 308 | 12,824 |
fairseq | fairseq/data/mask_tokens_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 functools import lru_cache
import numpy as np
import torch
from fairseq.data import Dictionary, data_utils
from . import BaseWrapperDat... | 227 | 8,721 |
fairseq | fairseq/data/text_compressor.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 enum import Enum
class TextCompressionLevel(Enum):
none = 0
low = 1
high = 2
class TextCompressor(object):
def __init... | 59 | 1,868 |
fairseq | fairseq/data/transform_eos_lang_pair_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 typing import Optional
import torch
from . import FairseqDataset
class TransformEosLangPairDataset(FairseqDataset):
"""A :class:... | 114 | 3,856 |
fairseq | fairseq/data/bucket_pad_length_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 numpy as np
import torch.nn.functional as F
from fairseq.data import BaseWrapperDataset
from fairseq.data.data_utils import get_buckets... | 79 | 2,360 |
fairseq | fairseq/data/replace_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 . import BaseWrapperDataset
class ReplaceDataset(BaseWrapperDataset):
"""Replaces tokens found in the dataset by a specified replac... | 37 | 1,370 |
fairseq | fairseq/data/plasma_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 hashlib
import json
import subprocess
import tempfile
from typing import Hashable
try:
import pyarrow.plasma as plasma
PYARR... | 198 | 6,230 |
fairseq | fairseq/data/noising.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
from fairseq.data import data_utils
class WordNoising(object):
"""Generate a noisy version of a sentence... | 335 | 12,422 |
fairseq | fairseq/data/id_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
from . import FairseqDataset
class IdDataset(FairseqDataset):
def __getitem__(self, index):
return index
def ... | 20 | 423 |
fairseq | fairseq/data/subsample_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 contextlib
import logging
import numpy as np
from fairseq.data.data_utils import numpy_seed
from . import BaseWrapperDataset
logger... | 76 | 2,284 |
fairseq | fairseq/data/prepend_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 numpy as np
import torch
from . import BaseWrapperDataset
class PrependDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | 29 | 953 |
fairseq | fairseq/data/strip_token_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 . import BaseWrapperDataset
class StripTokenDataset(BaseWrapperDataset):
def __init__(self, dataset, id_to_strip):
super().... | 21 | 647 |
fairseq | fairseq/data/colorize_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
from . import BaseWrapperDataset
class ColorizeDataset(BaseWrapperDataset):
"""Adds 'colors' property to net input that is... | 26 | 843 |
fairseq | fairseq/data/transform_eos_concat_langpair_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 torch
from torch.utils.data.dataloader import default_collate
from fairseq.data import ConcatDataset
logger = logging... | 140 | 5,170 |
fairseq | fairseq/data/multi_corpus_sampled_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 collections import OrderedDict
from typing import Callable, Dict, List
import numpy as np
from . import FairseqDataset
def uniform_sa... | 153 | 5,311 |
fairseq | fairseq/data/raw_label_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
from . import FairseqDataset
class RawLabelDataset(FairseqDataset):
def __init__(self, labels):
super().__init__()... | 24 | 546 |
fairseq | fairseq/data/lm_context_window_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 numpy as np
import torch
from typing import Dict
from fairseq.data.monolingual_dataset import MonolingualDataset
from . import Fairse... | 98 | 3,381 |
fairseq | fairseq/data/num_samples_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 . import FairseqDataset
class NumSamplesDataset(FairseqDataset):
def __getitem__(self, index):
return 1
def __len__(se... | 18 | 404 |
fairseq | fairseq/data/span_mask_tokens_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 numpy as np
import torch
from . import Dictionary, FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | 294 | 10,888 |
fairseq | fairseq/data/prepend_token_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 numpy as np
import torch
from . import BaseWrapperDataset
class PrependTokenDataset(BaseWrapperDataset):
def __init__(self, data... | 42 | 1,066 |
fairseq | fairseq/data/concat_sentences_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
from . import FairseqDataset
class ConcatSentencesDataset(FairseqDataset):
def __init__(self, *datasets):
super().... | 55 | 1,558 |
fairseq | fairseq/data/base_wrapper_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 torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class BaseWrapperDataset(FairseqDataset):
def __in... | 79 | 2,153 |
fairseq | fairseq/data/append_token_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 numpy as np
import torch
from . import BaseWrapperDataset
class AppendTokenDataset(BaseWrapperDataset):
def __init__(self, datas... | 42 | 1,065 |
fairseq | fairseq/data/iterators.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 math
import operator
import os
import queue
import time
from threading import Thread
from typing import... | 880 | 31,652 |
fairseq | fairseq/data/concat_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 bisect
import numpy as np
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class ConcatDataset(... | 125 | 4,645 |
fairseq | fairseq/data/backtranslation_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
from fairseq import utils
from . import FairseqDataset
def backtranslate_samples(samples, collate_fn, generate_fn, cuda=True):... | 166 | 6,247 |
fairseq | fairseq/data/pad_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 fairseq.data import data_utils
from . import BaseWrapperDataset
class PadDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | 32 | 941 |
fairseq | fairseq/data/list_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 . import BaseWrapperDataset
class ListDataset(BaseWrapperDataset):
def __init__(self, dataset, sizes=None):
super().__init_... | 33 | 729 |
fairseq | fairseq/data/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.
try:
from collections.abc import Iterable
except ImportError:
from collections import Iterable
import contextlib
import itertools
impo... | 1,145 | 39,466 |
fairseq | fairseq/data/codedataset.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 logging
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.utils.data
from . ... | 577 | 18,486 |
fairseq | fairseq/data/lru_cache_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 functools import lru_cache
from . import BaseWrapperDataset
class LRUCacheDataset(BaseWrapperDataset):
def __init__(self, dataset,... | 22 | 570 |
fairseq | fairseq/data/monolingual_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 numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(samples, pad_idx, eos_idx, fixed_pad_length=None, pad_... | 254 | 8,832 |
fairseq | fairseq/data/audio/data_cfg.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 argparse import Namespace
from copy import deepcopy
from pathlib import Path
from typing import Dict, Optional
from fairs... | 388 | 13,745 |
fairseq | fairseq/data/audio/raw_audio_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 sys
import time
import io
import numpy as np
import torch
import torch.nn.functional as F
from .. import Fa... | 432 | 14,093 |
fairseq | fairseq/data/audio/speech_to_text_joint_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
from pathlib import Path
from typing import Dict, List, NamedTuple, Optional
import torch
from fairseq.data import ConcatData... | 360 | 12,746 |
fairseq | fairseq/data/audio/frm_text_to_speech_dataset.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.abs
import csv
import logging
impor... | 206 | 6,923 |
fairseq | fairseq/data/audio/__init__.py | .py | from abc import ABC, abstractmethod
from typing import Dict, Optional
import importlib
import os
import numpy as np
class AudioTransform(ABC):
@classmethod
@abstractmethod
def from_config_dict(cls, config: Optional[Dict] = None):
pass
class CompositeAudioTransform(AudioTransform):
def _from_... | 94 | 2,721 |
fairseq | fairseq/data/audio/text_to_speech_dataset.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.abs
from dataclasses import datacla... | 251 | 8,669 |
fairseq | fairseq/data/audio/speech_to_speech_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
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import torch
from f... | 380 | 13,850 |
fairseq | fairseq/data/audio/multi_modality_dataset.py | .py | # Copyright (c) 2021-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.
import logging
import math
from ty... | 268 | 9,403 |
fairseq | fairseq/data/audio/audio_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 mmap
from pathlib import Path
import io
from typing import BinaryIO, List, Optional, Tuple, Union
import numpy as np
import torch
imp... | 390 | 13,330 |
fairseq | fairseq/data/audio/speech_to_text_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 csv
import logging
import re
from argparse import Namespace
from collections import defaultdict
from dataclasses import dataclass
from ... | 734 | 26,939 |
fairseq | fairseq/data/audio/hubert_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 itertools
import logging
import os
import sys
from typing import Any, List, Optional, Union
import numpy as np
import torch
import to... | 357 | 12,719 |
fairseq | fairseq/data/audio/dataset_transforms/noisyoverlapaugment.py | .py | import numpy as np
import torch
from fairseq.data.audio import rand_uniform
from fairseq.data.audio.dataset_transforms import (
AudioDatasetTransform,
register_audio_dataset_transform,
)
from fairseq.data.audio.waveform_transforms.noiseaugment import (
NoiseAugmentTransform,
)
_DEFAULTS = {
"rate": 0.... | 106 | 3,743 |
fairseq | fairseq/data/audio/dataset_transforms/__init__.py | .py | import os
from fairseq.data.audio import (
AudioTransform,
CompositeAudioTransform,
import_transforms,
register_audio_transform,
)
class AudioDatasetTransform(AudioTransform):
pass
AUDIO_DATASET_TRANSFORM_REGISTRY = {}
AUDIO_DATASET_TRANSFORM_CLASS_NAMES = set()
def get_audio_dataset_transform... | 54 | 1,246 |
fairseq | fairseq/data/audio/dataset_transforms/concataugment.py | .py | from typing import List
import numpy as np
from fairseq.data.audio.dataset_transforms import (
AudioDatasetTransform,
register_audio_dataset_transform,
)
_DEFAULTS = {"rate": 0.25, "max_tokens": 3000, "attempts": 5}
@register_audio_dataset_transform("concataugment")
class ConcatAugment(AudioDatasetTransform... | 62 | 1,900 |
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