repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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RegularizedBN | RegularizedBN-main/examples/speech_recognition/data/asr_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
from fairseq.data import FairseqDataset
from . import data_utils
from .collaters import Seq2SeqCollater
class ... | 3,870 | 33.5625 | 82 | py |
RegularizedBN | RegularizedBN-main/examples/speech_recognition/tasks/speech_recognition.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
import re
import sys
import torch
from fairseq.data import Dictionary
from fairseq.tasks import FairseqTask, register_t... | 5,094 | 34.381944 | 97 | py |
RegularizedBN | RegularizedBN-main/examples/byte_level_bpe/gru_transformer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the r... | 5,028 | 46.895238 | 87 | py |
RegularizedBN | RegularizedBN-main/examples/simultaneous_translation/modules/monotonic_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
import torch.nn as nn
from fairseq import utils
from fairseq.modules import Multihe... | 21,349 | 35.125212 | 119 | py |
RegularizedBN | RegularizedBN-main/examples/simultaneous_translation/eval/eval_latency.py | # Copyright (c) Facebook, Inc. and 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 examples.simultaneous_translation.utils.latency import LatencyInference
import argparse
import torch
import json
LATENCY_METRICS = [
... | 2,432 | 29.037037 | 85 | py |
RegularizedBN | RegularizedBN-main/examples/simultaneous_translation/models/transformer_monotonic_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
register_model,
register_model_archit... | 11,249 | 30.163435 | 95 | py |
RegularizedBN | RegularizedBN-main/examples/simultaneous_translation/utils/functions.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
def exclusive_cumprod(tensor, dim: int, eps: float = 1e-10):
"""
Implementing exclusive cumprod.
There is cumprod i... | 3,908 | 25.773973 | 95 | py |
RegularizedBN | RegularizedBN-main/examples/simultaneous_translation/utils/latency.py | # Copyright (c) Facebook, Inc. and its 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 LatencyMetric(object):
@staticmethod
def length_from_padding_mask(padding_mask, batch_first: bool = False):
... | 14,598 | 32.407323 | 110 | py |
RegularizedBN | RegularizedBN-main/scripts/average_checkpoints.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import collections
import torch
import os
import re
from fairseq.file_io import PathManager
def aver... | 6,012 | 38.821192 | 175 | py |
RegularizedBN | RegularizedBN-main/tests/test_train.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import unittest
from io import StringIO
from unittest.mock import MagicMock, patch
import torch
from fairse... | 8,428 | 40.318627 | 110 | py |
RegularizedBN | RegularizedBN-main/tests/test_average_checkpoints.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import collections
import os
import tempfile
import unittest
import shutil
import numpy as np
import torch
from torch import nn
from script... | 4,494 | 30.215278 | 80 | py |
RegularizedBN | RegularizedBN-main/tests/test_reproducibility.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
from io import StringIO
import json
import os
import tempfile
import unittest
import torch
from . import test_binaries
c... | 3,864 | 36.163462 | 97 | py |
RegularizedBN | RegularizedBN-main/tests/test_sequence_scorer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import unittest
import torch
from fairseq.sequence_scorer import SequenceScorer
import tests.utils as test_utils
class Te... | 3,949 | 33.051724 | 75 | py |
RegularizedBN | RegularizedBN-main/tests/test_memory_efficient_fp16.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
import unittest
import torch
from fairseq.optim.adam import FairseqAdam
from fairseq.optim.fp16_optimizer imp... | 2,002 | 28.028986 | 70 | py |
RegularizedBN | RegularizedBN-main/tests/test_lstm_jitable.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.lstm import L... | 3,995 | 34.052632 | 99 | py |
RegularizedBN | RegularizedBN-main/tests/test_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import unittest
from fairseq.modules.multihead_attention import MultiheadAttention
class TestMultiheadAttention(unittest.TestCa... | 1,904 | 30.229508 | 80 | py |
RegularizedBN | RegularizedBN-main/tests/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import sys
import torch
import torch.nn.functional as F
from io import StringIO
from fairseq import o... | 16,382 | 32.09697 | 107 | py |
RegularizedBN | RegularizedBN-main/tests/test_binaries.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
from io import StringIO
import logging
import os
import random
import tempfile
import unittest
import torch
from fairseq i... | 40,028 | 40.959119 | 122 | py |
RegularizedBN | RegularizedBN-main/tests/test_concat_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | 1,943 | 28.907692 | 66 | py |
RegularizedBN | RegularizedBN-main/tests/test_noising.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from typing import Dict, List
import tests.utils as test_utils
import torch
from fairseq import utils
from fairseq.data impor... | 19,779 | 36.533207 | 87 | py |
RegularizedBN | RegularizedBN-main/tests/test_constraints.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
import torch
import unittest
from fairseq.token_generation_constraints import *
def tensorize(constraints: List[List[int]]) -> t... | 10,242 | 39.168627 | 204 | py |
RegularizedBN | RegularizedBN-main/tests/test_sparse_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import unittest
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAttent... | 2,545 | 50.959184 | 114 | py |
RegularizedBN | RegularizedBN-main/tests/test_export.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairs... | 3,499 | 31.110092 | 86 | py |
RegularizedBN | RegularizedBN-main/tests/test_backtranslation_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.data import (
BacktranslationDataset,
LanguagePairDataset,
TransformEosDataset,
)
from... | 4,030 | 33.452991 | 90 | py |
RegularizedBN | RegularizedBN-main/tests/test_fp16_optimizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import unittest
import torch
from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficientFP16Optimize... | 2,720 | 33.884615 | 129 | py |
RegularizedBN | RegularizedBN-main/tests/test_sequence_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import tests.utils as test_utils
import torch
from fairseq import search
from fairseq.data.di... | 23,549 | 38.780405 | 102 | py |
RegularizedBN | RegularizedBN-main/tests/test_label_smoothing.py | # Copyright (c) Facebook, Inc. and its 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 copy
import unittest
import torch
from fairseq.criterions.cross_entropy import CrossEntropyCriterion
from fairseq.cri... | 4,235 | 41.36 | 101 | py |
RegularizedBN | RegularizedBN-main/tests/test_convtbc.py | # Copyright (c) Facebook, Inc. and its 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 unittest
from fairseq.modules import ConvTBC
import torch.nn as nn
class TestConvTBC(unittest.TestCase):
def test_c... | 1,679 | 33.285714 | 102 | py |
RegularizedBN | RegularizedBN-main/tests/test_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 unittest
import torch
from fairseq.data import TokenBlockDataset
import tests.utils as test_utils
class TestTokenBlockDataset(unit... | 2,970 | 36.607595 | 89 | py |
RegularizedBN | RegularizedBN-main/tests/test_multi_corpus_sampled_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from collections import OrderedDict
import numpy as np
import torch
from fairseq.data import LanguagePairDataset, TokenBlockD... | 3,105 | 31.354167 | 79 | py |
RegularizedBN | RegularizedBN-main/tests/test_bmuf.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from multiprocessing import Manager
import random
import unittest
import torch
import torch.nn as nn
from fairseq import dis... | 5,351 | 29.758621 | 88 | py |
RegularizedBN | RegularizedBN-main/tests/test_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 io
import tempfile
import unittest
import torch
from fairseq.data import Dictionary
class TestDictionary(unittest.TestCase):
d... | 3,336 | 27.521368 | 80 | py |
RegularizedBN | RegularizedBN-main/tests/test_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 unittest
import torch
from fairseq import utils
class TestUtils(unittest.TestCase):
def test_convert_padding_direction(self):
... | 3,067 | 28.219048 | 78 | py |
RegularizedBN | RegularizedBN-main/tests/test_character_token_embedder.py | # Copyright (c) Facebook, Inc. and its 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 unittest
from fairseq.data import Dictionary
from fairseq.modules import CharacterTokenEmbedder
class TestCharacterToke... | 1,656 | 34.255319 | 96 | py |
RegularizedBN | RegularizedBN-main/tests/gpu/test_binaries_gpu.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import os
import tempfile
import unittest
from io import StringIO
import torch
from fairseq import options
f... | 9,920 | 31.421569 | 92 | py |
RegularizedBN | RegularizedBN-main/tests/speech_recognition/test_data_utils.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from examples.speech_recognition.data import data_utils
class DataUtilsTest(unittest.Te... | 1,039 | 42.333333 | 108 | py |
RegularizedBN | RegularizedBN-main/tests/speech_recognition/asr_test_base.py | #!/usr/bin/env python3
import argparse
import os
import unittest
from inspect import currentframe, getframeinfo
import numpy as np
import torch
from fairseq.data import data_utils as fairseq_data_utils
from fairseq.data.dictionary import Dictionary
from fairseq.models import (
BaseFairseqModel,
FairseqDecoder... | 19,491 | 33.9319 | 92 | py |
RegularizedBN | RegularizedBN-main/tests/speech_recognition/test_collaters.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import numpy as np
import torch
from examples.speech_recognition.data.collaters import Seq2SeqCollater... | 2,048 | 33.728814 | 87 | py |
RegularizedBN | RegularizedBN-main/fairseq/checkpoint_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import collections
import logging
import os
import re
import traceback
from collections import OrderedDict
from typing import Union
import to... | 20,546 | 37.84121 | 114 | py |
RegularizedBN | RegularizedBN-main/fairseq/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import copy
import importlib.util
import logging
import math
import os
import sys
import warnings
from collections import de... | 19,882 | 31.864463 | 111 | py |
RegularizedBN | RegularizedBN-main/fairseq/hub_utils.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 copy
import logging
import os
from typing import List, Dict, Iterator, Tuple, Any
import tor... | 10,099 | 36.269373 | 114 | py |
RegularizedBN | RegularizedBN-main/fairseq/sequence_scorer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import sys
from fairseq import utils
class SequenceScorer(object):
"""Scores the target for a given source sentence."""
... | 5,071 | 36.850746 | 107 | py |
RegularizedBN | RegularizedBN-main/fairseq/binarizer.py | # Copyright (c) Facebook, Inc. and its 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 fairseq.tokenizer import tokenize_line
import torch
from fairseq.file_io import PathManager
d... | 3,354 | 30.952381 | 84 | py |
RegularizedBN | RegularizedBN-main/fairseq/distributed_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 logging
import os
import pickle
import random
import socket
import struct
import subprocess
import warnings
from collections import Ord... | 11,970 | 36.06192 | 107 | py |
RegularizedBN | RegularizedBN-main/fairseq/sequence_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, List, Optional
import torch
import torch.nn as nn
from fairseq import search, utils
from fairseq.data im... | 39,633 | 39.31943 | 118 | py |
RegularizedBN | RegularizedBN-main/fairseq/legacy_distributed_data_parallel.py | # Copyright (c) Facebook, Inc. and 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 modified version of the legacy DistributedDataParallel module that uses c10d
communication primitives. This version is simpler than the ... | 6,223 | 35.397661 | 88 | py |
RegularizedBN | RegularizedBN-main/fairseq/options.py | # Copyright (c) Facebook, Inc. and its 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 typing import Callable, List, Optional
import torch
from fairseq import utils
from fairseq.data.indexed_data... | 36,241 | 52.375552 | 120 | py |
RegularizedBN | RegularizedBN-main/fairseq/checkpoint_utils_bn.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#****************
#for testing bn
#****************
import collections
import logging
import os
import re
import traceback
from collections im... | 20,533 | 37.597744 | 114 | py |
RegularizedBN | RegularizedBN-main/fairseq/token_generation_constraints.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Implements tracking of constraints for a beam item.
A list of constraints is given as a list of one or more token
sequences, each of lengt... | 16,525 | 31.986028 | 108 | py |
RegularizedBN | RegularizedBN-main/fairseq/file_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.
"""
Utilities for working with the local dataset cache.
This file is adapted from `AllenNLP <https://github.com/allenai/allennlp>`_.
and `hugg... | 11,036 | 32.243976 | 103 | py |
RegularizedBN | RegularizedBN-main/fairseq/incremental_decoding_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.
from typing import Dict, Optional
import uuid
from torch import Tensor
class FairseqIncrementalState(object):
def __init__(self, *args... | 1,760 | 33.529412 | 112 | py |
RegularizedBN | RegularizedBN-main/fairseq/search.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Optional, List
import torch
import torch.nn as nn
from torch import Tensor
from fairseq.token_generation_cons... | 27,939 | 40.0279 | 114 | py |
RegularizedBN | RegularizedBN-main/fairseq/nan_detector.py | # Copyright (c) Facebook, Inc. and its 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
logger = logging.getLogger(__name__)
class NanDetector:
"""
Detects the first NaN or Inf in forward... | 3,041 | 32.065217 | 119 | py |
RegularizedBN | RegularizedBN-main/fairseq/iterative_refinement_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import namedtuple
import torch
import numpy as np
from fairseq import utils
DecoderOut = namedtuple('IterativeRefinementD... | 12,517 | 38.36478 | 122 | py |
RegularizedBN | RegularizedBN-main/fairseq/trainer.py | # Copyright (c) Facebook, Inc. and 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.
"""
import contextlib
from itertools import chain
import logging
import sys
import time
from typing... | 41,387 | 37.608209 | 117 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/transformer_sentence_encoder_layer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, Optional
import torch
import torch.nn as nn
from fairseq import utils
from fairseq.modules import (
LayerNo... | 4,160 | 28.721429 | 112 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/learned_positional_embedding.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Dict, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from torch imp... | 2,259 | 35.451613 | 94 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/sparse_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
from .multihead_attention import MultiheadAttention
class SparseMultiheadAttention(MultiheadAttention):
""" Spa... | 4,525 | 42.104762 | 100 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/statistics_utils.py | import numpy as np
import torch
from scipy import io
#save: save statistics in a file
#record: only record
def save_residual_proportion(self, x, residual, module):
# T,B,C
assert module in ['att','ffn'], "wrong module in residual proportion!"
if not self.training or not self.record_residual_proportion:
... | 14,971 | 42.397101 | 115 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from torch.nn ... | 23,984 | 40.070205 | 110 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/transpose_last.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
transpose last 2 dimensions of the input
"""
import torch.nn as nn
class TransposeLast(nn.Module):
def __init__(self, deconstruct_id... | 550 | 25.238095 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/norm_select.py | # Copyright (c) Facebook, Inc. and 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 .norm.mask_layernorm3d import MaskLayerNorm3d
from .norm.mask_batchnorm3d import MaskBatchNorm3d
from .norm.mask_powernorm3d import MaskP... | 2,685 | 40.323077 | 155 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/same_pad.py | # Copyright (c) Facebook, Inc. and 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 import nn
class SamePad(nn.Module):
def __init__(self, kernel_size):
super().__init__()
self.remove = kernel... | 432 | 21.789474 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/multihead_attention_simple.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from torch.nn ... | 13,929 | 37.480663 | 161 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/linearized_convolution.py | # Copyright (c) Facebook, Inc. and its 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.functional as F
from fairseq import utils
from .conv_tbc import ConvTBC
from fairseq.incremental_decoding_utils ... | 4,261 | 41.19802 | 95 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/downsampled_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.modules.scalar_bias import scalar_bias
from fai... | 9,863 | 37.381323 | 106 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/multihead_attention_relative.py | import torch
from torch import nn
import torch.nn.functional as F
import math
class RelativeEmbedding(nn.Module):
def forward(self, input):
"""Input is expected to be of size [bsz x seqlen].
"""
bsz, seq_len = input.size()
max_pos = self.padding_idx + seq_len
if max_pos > s... | 6,946 | 35.952128 | 118 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/quant_noise.py | # Copyright (c) Facebook, Inc. and its 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
def quant_noise(module, p, block_size):
"""
Wraps modules and applies quantization noise to the w... | 3,666 | 39.296703 | 110 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/gelu.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
See "Gaussian Error Linear Units (GELUs)" by Dan Hendrycks and Kevin Gimpel with
the corresponding GitHub repo: https://github.com/hendryck... | 706 | 26.192308 | 87 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/statistics_init.py | import numpy as np
import torch
from scipy import io
from .statistics_utils import save_forward_backward_weight_norm
#need to define self.prefix, self.id before initializing statistics
def init_residual_proportion(self, args):
self.record_residual_proportion = args.record_residual_proportion
if self.record_re... | 8,439 | 43.188482 | 144 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/positional_embedding.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
from .learned_positional_embedding import LearnedPositionalEmbedding
from .sinusoidal_positional_embedding import Sinuso... | 1,286 | 38 | 83 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/fairseq_dropout.py | # Copyright (c) Facebook, Inc. and its 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 List, Optional
import torch.nn as nn
import torch.nn.functional as F
logger = logging.getLogger(__name__)... | 1,687 | 30.849057 | 83 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/cross_entropy.py | # Copyright (c) Facebook, Inc. and its 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.functional as F
logger = logging.getLogger(__name__)
def _cross_entropy_pytorch(logits, targe... | 1,650 | 30.75 | 82 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/adaptive_input.py | # Copyright (c) Facebook, Inc. and its 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 torch import nn
from fairseq.modules.quant_noise import quant_noise
from typing import List
class AdaptiveInput(nn.Modul... | 2,514 | 30.835443 | 92 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/gumbel_vector_quantizer.py | # Copyright (c) Facebook, Inc. and its 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
class GumbelVectorQuantizer(nn.Module):
def __init__(
self,
... | 6,792 | 33.135678 | 117 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/vggblock.py | # Copyright (c) Facebook, Inc. and 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 __future__ import absolute_import, division, print_function, unicode_literals
from collections.abc import Iterable
from itertools import... | 4,057 | 33.683761 | 88 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/character_token_embedder.py | # Copyright (c) Facebook, Inc. and its 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 List, Tuple
import torch
from torch import nn
import torch.nn.functional as F
from fairseq.data import Dic... | 6,846 | 32.4 | 106 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/unfold.py | # Copyright (c) Facebook, Inc. and its 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.functional as F
def unfold1d(x, kernel_size, padding_l, pad_value=0):
'''unfold T x B x C to T x B x C x K'''
if ker... | 570 | 30.722222 | 91 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/fp32_group_norm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Layer norm done in fp32 (for fp16 training)
"""
import torch.nn as nn
import torch.nn.functional as F
class Fp32GroupNorm(nn.GroupNorm):... | 727 | 27 | 69 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/adaptive_softmax.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import operator
import functools
import torch
import torch.nn.functional as F
from fairseq.modules.quant_noise import quant_noise
from fairse... | 7,945 | 35.95814 | 137 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/fc_select.py | # Copyright (c) Facebook, Inc. and its 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 .fc.wn import CWN
from .fc.conv import Conv1d
from .fc.dropout_fc import DropoutFC
from .fc.oni_fc import ONI_Linea... | 2,654 | 38.044118 | 113 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/dropout_select.py | # Copyright (c) Facebook, Inc. and its 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 .noise_dropout import NoiseDropout
def parse_dropout(dropout_type):
args = dropout_type.split("_")
return ... | 642 | 25.791667 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/conv_tbc.py | # Copyright (c) Facebook, Inc. and its 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 torch.nn.modules.utils import _single
class ConvTBC(torch.nn.Module):
"""1D convolution over an input of shape (time x... | 1,356 | 35.675676 | 90 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/transformer_layer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Dict, List, Optional
import torch
import torch.nn as nn
from torch.serialization import save
from fairseq import utils
fro... | 24,120 | 40.162116 | 125 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/beamable_mm.py | # Copyright (c) Facebook, Inc. and its 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
class BeamableMM(nn.Module):
"""This module provides an optimized MM for beam decoding with attention... | 1,779 | 36.083333 | 80 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/multihead_attention_ori.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from torch.nn ... | 19,130 | 39.023013 | 103 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/layer_norm.py | # Copyright (c) Facebook, Inc. and its 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
try:
from apex.normalization import FusedLayerNorm as _FusedLayerNorm... | 1,499 | 29 | 81 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/kmeans_vector_quantizer.py | # Copyright (c) Facebook, Inc. and its 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
from fairseq.modules import Fp32GroupNorm
class KmeansVectorQuantizer(nn.Module):
def __init__(
... | 4,248 | 31.937984 | 89 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/layer_drop.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
LayerDrop as described in https://arxiv.org/abs/1909.11556.
"""
import torch
import torch.nn as nn
class LayerDropModuleList(nn.ModuleLi... | 1,409 | 30.333333 | 71 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/dynamic_crf_layer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
This file is to re-implemented the low-rank and beam approximation of CRF layer
Proposed by:
Sun, Zhiqing, et al.
Fast Structured Decodin... | 7,676 | 40.497297 | 99 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/scalar_bias.py | # Copyright (c) Facebook, Inc. and its 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 ScalarBias(torch.autograd.Function):
"""
Adds a vector of scalars, used in self-attention mechanism to allow
... | 888 | 26.78125 | 74 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/transformer_sentence_encoder.py | # Copyright (c) Facebook, Inc. and 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, Tuple
import torch
import torch.nn as nn
from fairseq.modules import (
FairseqDropout,
LayerDropModuleLi... | 9,720 | 33.842294 | 90 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/grad_multiply.py | # Copyright (c) Facebook, Inc. and its 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 GradMultiply(torch.autograd.Function):
@staticmethod
def forward(ctx, x, scale):
ctx.scale = scale
... | 442 | 22.315789 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/sparse_transformer_sentence_encoder.py | # Copyright (c) Facebook, Inc. and its 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.modules import TransformerSentenceEncoder
from fairseq.modules.sparse_transformer_sentence_encoder_layer im... | 2,965 | 36.075 | 107 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/activation_select.py | # Copyright (c) Facebook, Inc. and its 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
def parse_activation(activation_type):
args = activation_type.split("_")
return args
def ActivationSelect(act... | 1,317 | 28.288889 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/sinusoidal_positional_embedding.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Any, Optional
import torch
import torch.onnx.operators
from fairseq import utils
from torch import Tensor, nn
... | 3,880 | 35.613208 | 87 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/lightweight_convolution.py | # Copyright (c) Facebook, Inc. and its 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 utils
from fairseq.modules.unfold import unfold1d
from... | 10,496 | 39.844358 | 104 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/dynamic_convolution.py | # Copyright (c) Facebook, Inc. and its 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 utils
from .unfold import unfold1d
from fairseq.increm... | 11,057 | 43.95122 | 132 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/noise_dropout.py | # Copyright (c) Facebook, Inc. and its 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 List, Optional
import torch.nn as nn
import torch.nn.functional as F
import torch
logger = logging.getLogg... | 700 | 22.366667 | 65 | py |
RegularizedBN | RegularizedBN-main/fairseq/modules/norm/mask_powernorm3d.py | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : MaskBatchNorm.py
# Distributed under MIT License.
import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from torch.nn.modules._functions import SyncBatchNorm as sync_batch_norm
... | 9,403 | 38.512605 | 141 | py |
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