repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
DMF | DMF-main/fairseq/fairseq/benchmark/dummy_masked_lm.py | # Copyright (c) Facebook, Inc. and its 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... | 3,123 | 31.884211 | 84 | py |
DMF | DMF-main/fairseq/fairseq/benchmark/dummy_lm.py | # Copyright (c) Facebook, Inc. and its 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... | 2,757 | 31.833333 | 84 | py |
DMF | DMF-main/fairseq/fairseq/data/language_pair_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = logging.getLogger(__name__)
d... | 19,102 | 38.964435 | 90 | py |
DMF | DMF-main/fairseq/fairseq/data/transform_eos_concat_langpair_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import torch
from torch.utils.data.dataloader import default_collate
from fairseq.data import ConcatDataset
logger = logging... | 5,170 | 35.935714 | 111 | py |
DMF | DMF-main/fairseq/fairseq/data/token_block_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from fairseq.data import FairseqDataset, plasma_utils
from fairseq.data.indexed_dataset import best_fitting_in... | 7,652 | 35.971014 | 87 | py |
DMF | DMF-main/fairseq/fairseq/data/subsample_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
from . import BaseWrapperDataset
logger = logging.getLogger(__name__)
class SubsampleDataset(BaseWrapp... | 2,117 | 28.013699 | 101 | py |
DMF | DMF-main/fairseq/fairseq/data/prepend_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class PrependDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | 953 | 31.896552 | 83 | py |
DMF | DMF-main/fairseq/fairseq/data/base_wrapper_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class BaseWrapperDataset(FairseqDataset):
def __in... | 2,153 | 26.265823 | 70 | py |
DMF | DMF-main/fairseq/fairseq/data/raw_label_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class RawLabelDataset(FairseqDataset):
def __init__(self, labels):
super().__init__()... | 546 | 21.791667 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/resampling_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
from fairseq.data import BaseWrapperDataset, plasma_utils
logger = logging.getLogger(__name__)
class Re... | 4,314 | 29.821429 | 78 | py |
DMF | DMF-main/fairseq/fairseq/data/dictionary.py | # Copyright (c) Facebook, Inc. and its 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... | 12,903 | 31.099502 | 96 | py |
DMF | DMF-main/fairseq/fairseq/data/append_token_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class AppendTokenDataset(BaseWrapperDataset):
def __init__(self, datas... | 1,065 | 24.380952 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/codedataset.py | # Copyright (c) Facebook, Inc. and its 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 . ... | 18,486 | 31.039861 | 109 | py |
DMF | DMF-main/fairseq/fairseq/data/fasta_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import subprocess
import threading
from pathlib import Path
import numpy as np
import torch
def fasta_file_path(prefix_path):
... | 3,387 | 30.37037 | 107 | py |
DMF | DMF-main/fairseq/fairseq/data/mask_tokens_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from functools import lru_cache
import numpy as np
import torch
from fairseq.data import Dictionary, data_utils
from . import BaseWrapperDat... | 8,777 | 38.719457 | 102 | py |
DMF | DMF-main/fairseq/fairseq/data/concat_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import bisect
import numpy as np
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class ConcatDataset(... | 4,645 | 36.168 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/data_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
try:
from collections.abc import Iterable
except ImportError:
from collections import Iterable
import contextlib
import itertools
impo... | 21,791 | 35.019835 | 120 | py |
DMF | DMF-main/fairseq/fairseq/data/nested_dictionary_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
import torch
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
def ... | 4,029 | 30.984127 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/add_target_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset, data_utils
from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
cla... | 2,996 | 34.678571 | 88 | py |
DMF | DMF-main/fairseq/fairseq/data/transform_eos_lang_pair_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import torch
from . import FairseqDataset
class TransformEosLangPairDataset(FairseqDataset):
"""A :class:... | 3,856 | 32.833333 | 98 | py |
DMF | DMF-main/fairseq/fairseq/data/lm_context_window_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from typing import Dict
from fairseq.data.monolingual_dataset import MonolingualDataset
from . import Fairse... | 3,381 | 33.510204 | 90 | py |
DMF | DMF-main/fairseq/fairseq/data/span_mask_tokens_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import Dictionary, FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | 10,888 | 36.037415 | 206 | py |
DMF | DMF-main/fairseq/fairseq/data/colorize_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset
class ColorizeDataset(BaseWrapperDataset):
"""Adds 'colors' property to net input that is... | 843 | 31.461538 | 111 | py |
DMF | DMF-main/fairseq/fairseq/data/iterators.py | # Copyright (c) Facebook, Inc. and its 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... | 31,799 | 34.972851 | 94 | py |
DMF | DMF-main/fairseq/fairseq/data/backtranslation_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq import utils
from . import FairseqDataset
def backtranslate_samples(samples, collate_fn, generate_fn, cuda=True):... | 6,247 | 36.638554 | 84 | py |
DMF | DMF-main/fairseq/fairseq/data/monolingual_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(samples, pad_idx, eos_idx, fixed_pad_length=None, pad_... | 8,832 | 33.775591 | 110 | py |
DMF | DMF-main/fairseq/fairseq/data/roll_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset
class RollDataset(BaseWrapperDataset):
def __init__(self, dataset, shifts):
super... | 485 | 24.578947 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/replace_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import BaseWrapperDataset
class ReplaceDataset(BaseWrapperDataset):
"""Replaces tokens found in the dataset by a specified replac... | 1,370 | 36.054054 | 113 | py |
DMF | DMF-main/fairseq/fairseq/data/id_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class IdDataset(FairseqDataset):
def __getitem__(self, index):
return index
def ... | 423 | 20.2 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/indexed_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import shutil
import struct
from functools import lru_cache
import numpy as np
import torch
from fairseq.dataclass.constants import DATASET_I... | 18,265 | 30.064626 | 102 | py |
DMF | DMF-main/fairseq/fairseq/data/denoising_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | 15,685 | 34.328829 | 88 | py |
DMF | DMF-main/fairseq/fairseq/data/prepend_token_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class PrependTokenDataset(BaseWrapperDataset):
def __init__(self, data... | 1,066 | 24.404762 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/numel_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class NumelDataset(BaseWrapperDataset):
def __init__(self, dataset, re... | 786 | 23.59375 | 65 | py |
DMF | DMF-main/fairseq/fairseq/data/noising.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from fairseq.data import data_utils
class WordNoising(object):
"""Generate a noisy version of a sentence... | 12,422 | 36.083582 | 88 | py |
DMF | DMF-main/fairseq/fairseq/data/bucket_pad_length_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch.nn.functional as F
from fairseq.data import BaseWrapperDataset
from fairseq.data.data_utils import get_buckets... | 2,360 | 28.886076 | 79 | py |
DMF | DMF-main/fairseq/fairseq/data/concat_sentences_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class ConcatSentencesDataset(FairseqDataset):
def __init__(self, *datasets):
super().... | 1,558 | 27.345455 | 83 | py |
DMF | DMF-main/fairseq/fairseq/data/fairseq_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch.utils.data
from fairseq.data import data_utils
logger = logging.getLogger(__name__)
class Ep... | 7,123 | 33.582524 | 91 | py |
DMF | DMF-main/fairseq/fairseq/data/transform_eos_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class TransformEosDataset(FairseqDataset):
"""A :class:`~fairseq.data.FairseqDataset` wrapper... | 4,575 | 36.818182 | 88 | py |
DMF | DMF-main/fairseq/fairseq/data/multilingual/sampled_multi_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import datetime
import hashlib
import logging
import time
from bisect import bisect_right
from collections import OrderedDict, defaultdict
fro... | 18,339 | 38.104478 | 119 | py |
DMF | DMF-main/fairseq/fairseq/data/multilingual/multilingual_utils.py | from enum import Enum
from typing import Dict, List, Optional, Sequence
import torch
from fairseq.data import Dictionary
class EncoderLangtok(Enum):
"""
Prepend to the beginning of source sentence either the
source or target language token. (src/tgt).
"""
src = "src"
tgt = "tgt"
class Lang... | 1,623 | 24.375 | 85 | py |
DMF | DMF-main/fairseq/fairseq/data/multilingual/sampled_multi_epoch_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import hashlib
import logging
import math
import numpy as np
from fairseq.data import SampledMultiDataset
from .sampled_multi_dataset impor... | 7,823 | 38.12 | 119 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/hubert_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import logging
import os
import sys
from typing import Any, List, Optional, Union
import numpy as np
import torch
import to... | 12,719 | 34.630252 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/multi_modality_dataset.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... | 10,161 | 34.65614 | 93 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/speech_to_speech_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import torch
from f... | 13,850 | 35.45 | 99 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/text_to_speech_dataset.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... | 8,669 | 33.541833 | 87 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/frm_text_to_speech_dataset.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... | 6,923 | 32.61165 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/raw_audio_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
import io
import numpy as np
import torch
import torch.nn.functional as F
from .. import FairseqDataset... | 13,679 | 33.720812 | 111 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/audio_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import mmap
from pathlib import Path
import io
from typing import BinaryIO, List, Optional, Tuple, Union
import numpy as np
import torch
imp... | 13,330 | 33.182051 | 84 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/speech_to_text_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
import logging
import re
from argparse import Namespace
from collections import defaultdict
from dataclasses import dataclass
from ... | 26,935 | 35.697548 | 87 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/speech_to_text_joint_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from pathlib import Path
from typing import Dict, List, NamedTuple, Optional
import torch
from fairseq.data import ConcatData... | 12,746 | 34.408333 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/dataset_transforms/noisyoverlapaugment.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.... | 3,743 | 34.320755 | 86 | py |
DMF | DMF-main/fairseq/fairseq/data/audio/feature_transforms/delta_deltas.py | import numpy as np
import torch
from fairseq.data.audio.feature_transforms import (
AudioFeatureTransform,
register_audio_feature_transform,
)
@register_audio_feature_transform("delta_deltas")
class DeltaDeltas(AudioFeatureTransform):
"""Expand delta-deltas features from spectrum."""
@classmethod
... | 1,192 | 30.394737 | 79 | py |
DMF | DMF-main/fairseq/fairseq/data/encoders/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.data import encoders
def get_whole_word_mask(args, dictionary):
bpe = encoders.build_bpe(args)
if bpe is n... | 909 | 28.354839 | 67 | py |
DMF | DMF-main/fairseq/fairseq/data/huffman/huffman_mmap_indexed_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import mmap
import os
import shutil
import struct
import typing as tp
from functools import lru_cache
import numpy as np
import torch
from fa... | 8,807 | 29.583333 | 108 | py |
DMF | DMF-main/fairseq/fairseq/data/legacy/block_pair_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import numpy as np
import torch
from fairseq.data import FairseqDataset
class BlockPairDataset(FairseqDataset):
"""Break a ... | 12,877 | 40.275641 | 99 | py |
DMF | DMF-main/fairseq/fairseq/data/legacy/masked_lm_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, List, Tuple
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset, data_ut... | 12,168 | 39.029605 | 88 | py |
DMF | DMF-main/fairseq/fairseq/tasks/text_to_speech.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import os.path as op
import torch
import torch.nn.functional as F
import numpy as np
from fairseq.data.audio.text_t... | 17,256 | 33.376494 | 88 | py |
DMF | DMF-main/fairseq/fairseq/tasks/translation_from_pretrained_bart.py | # Copyright (c) Facebook, Inc. and its 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.data import LanguagePairDataset
from . import register_task
from .translation import Tran... | 5,243 | 38.428571 | 108 | py |
DMF | DMF-main/fairseq/fairseq/tasks/language_modeling.py | # Copyright (c) Facebook, Inc. and its 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 Optional
import numpy as np
import torch
from fairseq im... | 13,952 | 35.335938 | 91 | py |
DMF | DMF-main/fairseq/fairseq/tasks/translation.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import itertools
import json
import logging
import os
from typing import Optional
from argparse impor... | 17,938 | 35.022088 | 108 | py |
DMF | DMF-main/fairseq/fairseq/tasks/multilingual_masked_lm.py | # Copyright (c) Facebook, Inc. and its 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 numpy as np
import torch
from fairseq import utils
from fairseq.data import (
ConcatDataset,
Diction... | 12,144 | 34.825959 | 87 | py |
DMF | DMF-main/fairseq/fairseq/tasks/multilingual_language_modeling.py | # Copyright (c) Facebook, Inc. and its 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 Optional
import numpy as np
import torch
from omegaconf ... | 22,960 | 35.562102 | 102 | py |
DMF | DMF-main/fairseq/fairseq/tasks/online_backtranslation.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import json
import logging
import math
import os
from argparse import Namespace
from collections import OrderedDict, default... | 28,618 | 40.901903 | 118 | py |
DMF | DMF-main/fairseq/fairseq/tasks/speech_ulm_task.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.
import logging
import sys
import t... | 7,533 | 32.484444 | 88 | py |
DMF | DMF-main/fairseq/fairseq/tasks/multilingual_translation.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import os
from collections import OrderedDict
from argparse import ArgumentError
import torch
from fairseq i... | 18,165 | 38.235421 | 118 | py |
DMF | DMF-main/fairseq/fairseq/tasks/translation_lev.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import torch
from fairseq import utils
from fairseq.data import LanguagePairDataset
from fairseq.data... | 7,416 | 36.841837 | 103 | py |
DMF | DMF-main/fairseq/fairseq/tasks/fairseq_task.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import warnings
from argparse import Namespace
from typing import Any, Callable, Dict, List
import torch
from fairse... | 26,655 | 37.409222 | 110 | py |
DMF | DMF-main/fairseq/fairseq/tasks/speech_to_speech.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import logging
import math
from argparse import Namespace
from pathlib import Path
from typing import List
import torch
import to... | 22,609 | 36.809365 | 130 | py |
DMF | DMF-main/fairseq/fairseq/tasks/nlu_finetuning.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.
import logging
import os
import to... | 19,006 | 38.763598 | 95 | py |
DMF | DMF-main/fairseq/fairseq/tasks/audio_finetuning.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.
import logging
import os
import to... | 13,503 | 38.255814 | 95 | py |
DMF | DMF-main/fairseq/fairseq/tasks/translation_multi_simple_epoch.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import datetime
import logging
import time
import torch
from fairseq.data import (
FairseqDataset,
LanguagePairDataset,
ListDatas... | 17,926 | 39.558824 | 113 | py |
DMF | DMF-main/fairseq/docs/conf.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# fairseq documentation build configuration file, created by
# sphinx-quickstart on Fri Aug 17 21:45:30 2018.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# au... | 3,133 | 30.656566 | 79 | py |
DMF | DMF-main/fairseq/fairseq_cli/generate.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 ast
import logging
import math
import os
import sy... | 15,805 | 36.813397 | 180 | py |
DMF | DMF-main/fairseq/fairseq_cli/validate.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 logging
import os
import sys
from argparse import Namespace
from itertools import chain
import torch
from om... | 5,228 | 32.954545 | 88 | py |
DMF | DMF-main/fairseq/fairseq_cli/hydra_train.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 logging
import os
import hydra
import torch
from hydra.core.hydra_config import HydraConfig
from omegaconf i... | 2,714 | 28.51087 | 116 | py |
DMF | DMF-main/fairseq/fairseq_cli/eval_lm.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.
"""
Evaluate the perplexity of a trained language model.
"""
import logging
import math
import os
import sys
from a... | 11,960 | 33.37069 | 108 | py |
DMF | DMF-main/fairseq/fairseq_cli/interactive.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 raw text with a trained model. Batches data on-the-fly.
"""
import ast
import fileinput
import logging... | 11,465 | 35.056604 | 88 | py |
DMF | DMF-main/fairseq/fairseq_cli/train.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.
"""
Train a new model on one or across multiple GPUs.
"""
import argparse
import logging
import math
import os
impor... | 19,932 | 34.279646 | 108 | py |
DMF | DMF-main/loss/metric_learning.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.autograd
from torch.nn import Parameter
import math
class ContrastiveLoss(nn.Module):
def __init__(self, margin=0.3, **kwargs):
super(ContrastiveLoss, self).__init__()
self.margin = margin
def forward(self, inputs... | 7,001 | 36.047619 | 121 | py |
DMF | DMF-main/loss/softmax_loss.py | import torch
import torch.nn as nn
from torch.nn import functional as F
class CrossEntropyLabelSmooth(nn.Module):
"""Cross entropy loss with label smoothing regularizer.
Reference:
Szegedy et al. Rethinking the Inception Architecture for Computer Vision. CVPR 2016.
Equation: y = (1 - epsilon) * y + eps... | 2,037 | 35.392857 | 95 | py |
DMF | DMF-main/loss/triplet_loss.py | import torch
from torch import nn
def normalize(x, axis=-1):
"""Normalizing to unit length along the specified dimension.
Args:
x: pytorch Variable
Returns:
x: pytorch Variable, same shape as input
"""
x = 1. * x / (torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12)
return ... | 4,748 | 33.413043 | 82 | py |
DMF | DMF-main/loss/arcface.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Parameter
import math
class ArcFace(nn.Module):
def __init__(self, in_features, out_features, s=30.0, m=0.50, bias=False):
super(ArcFace, self).__init__()
self.in_features = in_features
self.out_feature... | 2,975 | 36.2 | 105 | py |
DMF | DMF-main/loss/center_loss.py | from __future__ import absolute_import
import torch
from torch import nn
class CenterLoss(nn.Module):
"""Center loss.
Reference:
Wen et al. A Discriminative Feature Learning Approach for Deep Face Recognition. ECCV 2016.
Args:
num_classes (int): number of classes.
feat_dim (int): fe... | 2,335 | 33.352941 | 110 | py |
DMF | DMF-main/loss/make_loss.py | # encoding: utf-8
"""
@author: liaoxingyu
@contact: sherlockliao01@gmail.com
"""
import torch
import torch.nn.functional as F
from .softmax_loss import CrossEntropyLabelSmooth, LabelSmoothingCrossEntropy
from .triplet_loss import TripletLoss
from .center_loss import CenterLoss
def make_loss(cfg, num_classes): # m... | 3,924 | 44.114943 | 119 | py |
DMF | DMF-main/utils/reranking.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri, 25 May 2018 20:29:09
"""
"""
CVPR2017 paper:Zhong Z, Zheng L, Cao D, et al. Re-ranking Person Re-identification with k-reciprocal Encoding[J]. 2017.
url:http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhong_Re-Ranking_Person_Re-Identification_C... | 4,397 | 42.117647 | 119 | py |
DMF | DMF-main/utils/metrics.py | import torch
import numpy as np
import os
from utils.reranking import re_ranking
def euclidean_distance(qf, gf):
m = qf.shape[0]
n = gf.shape[0]
dist_mat = torch.pow(qf, 2).sum(dim=1, keepdim=True).expand(m, n) + \
torch.pow(gf, 2).sum(dim=1, keepdim=True).expand(n, m).t()
dist_mat.addm... | 4,677 | 33.145985 | 112 | py |
DMF | DMF-main/model/make_model.py | import torch
import torch.nn as nn
from .backbones.resnet import ResNet, Bottleneck
import copy
from .backbones.vit_pytorch import vit_base_patch16_224_TransReID, vit_small_patch16_224_TransReID, deit_small_patch16_224_TransReID, vit_base_patch16_224_Transcross
from loss.metric_learning import Arcface, Cosface, AMSoftm... | 23,022 | 44.320866 | 249 | py |
DMF | DMF-main/model/backbones/vit_pytorch.py | """ Vision Transformer (ViT) in PyTorch
A PyTorch implement of Vision Transformers as described in
'An Image Is Worth 16 x 16 Words: Transformers for Image Recognition at Scale' - https://arxiv.org/abs/2010.11929
The official jax code is released and available at https://github.com/google-research/vision_transformer
... | 35,948 | 42.416667 | 132 | py |
DMF | DMF-main/model/backbones/resnet.py | import math
import torch
from torch import nn
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=False)
class BasicBlock(nn.Module):
expansion = 1
def __init__(s... | 4,463 | 30.659574 | 81 | py |
WoBERT | WoBERT-master/train.py | #! -*- coding: utf-8 -*-
# 词级别的中文BERT预训练
# MLM任务
import os, json
import numpy as np
from bert4keras.backend import keras, K
from bert4keras.layers import Loss
from bert4keras.models import build_transformer_model
from bert4keras.tokenizers import Tokenizer, load_vocab
from bert4keras.optimizers import Adam
from bert4k... | 5,847 | 28.989744 | 89 | py |
WoBERT | WoBERT-master/test/tnews.py | #! -*- coding:utf-8 -*-
# tnews文本分类例子
import os, json
import numpy as np
from bert4keras.backend import keras, set_gelu
from bert4keras.tokenizers import Tokenizer
from bert4keras.models import build_transformer_model
from bert4keras.optimizers import Adam
from bert4keras.snippets import sequence_padding, DataGenerato... | 4,430 | 27.587097 | 114 | py |
WoBERT | WoBERT-master/test/csl.py | #! -*- coding: utf-8 -*-
# WoBERT做Seq2Seq任务，采用UniLM方案
# 介绍链接：https://kexue.fm/archives/6933
# 数据集：https://github.com/CLUEbenchmark/CLGE 中的CSL数据集
# 补充了评测指标bleu、rouge-1、rouge-2、rouge-l
from __future__ import print_function
import json
import numpy as np
from tqdm import tqdm
from bert4keras.backend import keras, K
from ... | 5,709 | 31.078652 | 80 | py |
WoBERT | WoBERT-master/test/iflytek.py | #! -*- coding:utf-8 -*-
# iflytek文本分类例子
import os, json
import numpy as np
from bert4keras.backend import keras, set_gelu
from bert4keras.tokenizers import Tokenizer
from bert4keras.models import build_transformer_model
from bert4keras.optimizers import Adam
from bert4keras.snippets import sequence_padding, DataGenera... | 4,305 | 26.961039 | 80 | py |
WoBERT | WoBERT-master/test/sentiment.py | #! -*- coding:utf-8 -*-
# 情感分析例子
import os, json
import numpy as np
from bert4keras.backend import keras, set_gelu
from bert4keras.tokenizers import Tokenizer
from bert4keras.models import build_transformer_model
from bert4keras.optimizers import Adam
from bert4keras.snippets import sequence_padding, DataGenerator
fro... | 3,971 | 27.782609 | 80 | py |
WoBERT | WoBERT-master/test/lcsts.py | #! -*- coding: utf-8 -*-
# WoBERT做Seq2Seq任务，采用UniLM方案
# 介绍链接：https://kexue.fm/archives/6933
# 数据集：https://github.com/CLUEbenchmark/CLGE 中的LCSTS数据集
# 补充了评测指标bleu、rouge-1、rouge-2、rouge-l
from __future__ import print_function
import json
import numpy as np
from tqdm import tqdm
from bert4keras.backend import keras, K
fro... | 5,721 | 31.146067 | 80 | py |
quantum_package | quantum_package-master/doc/source/conf.py | # -*- coding: utf-8 -*-
#
# Selected CI documentation build configuration file, created by
# sphinx-quickstart on Mon Feb 10 15:53:11 2014.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
#... | 9,145 | 30.979021 | 121 | py |
fastonn | fastonn-master/setup.py | from setuptools import setup,find_packages
# read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(name='fastonn',
version='0.1.1',
desc... | 1,195 | 35.242424 | 83 | py |
fastonn | fastonn-master/tests/fastonn_test.py | from fastonn import OpNetwork,utils,OpTier,OpBlock,Trainer,SelfONN
from fastonn.osl import *
import numpy as np
import torch
def test_configure_oplib():
nodal = [mul]
pool = [summ]
act = [tanh]
try:
OPLIB = getOPLIB(nodal,pool,act)
except:
raise
def test_OpNetwork():
try:
... | 3,350 | 38.892857 | 159 | py |
fastonn | fastonn-master/fastonn/OpBlock.py | from .utils import *
from .osl import *
from torch import nn
from torch.nn.parameter import Parameter
from torch.nn import init
import math
import numpy as np
from tqdm import tqdm
class OpBlock(nn.Module):
# Initialize block
def __init__(self,in_channels,out_channels,kernel_size,op_idx,OPLIB):
super... | 1,961 | 29.65625 | 96 | py |
fastonn | fastonn-master/fastonn/SelfONN.py | from collections.abc import Iterable
from itertools import repeat
import math
from typing import Optional, Tuple, Union
import torch
from torch import Tensor, cat, no_grad
from torch import nn
from torch.nn import Module, Parameter
import torch.nn.functional as F
from torch.nn.init import _calculate_fan_in_and_fan_out... | 13,944 | 36.386059 | 120 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.