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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ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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... | 4,554 | 28.198718 | 88 | py |
ELLE | ELLE-main/fairseq_ELLE/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 tempfile
import unittest
import torch
from fairseq.data import Dictionary
class TestDictionary(unittest.TestCase):
def test_fi... | 1,863 | 25.253521 | 80 | py |
ELLE | ELLE-main/fairseq_ELLE/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):
... | 2,131 | 24.380952 | 65 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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... | 19,247 | 33.80651 | 87 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/fairseq/FPI.py | """
preprocessing script before training distillBert
specific to bert->distillbert
"""
import collections
import sys
import torch.nn as nn
import torch
import math
import numpy as np
import random
from . import checkpoint_utils
def wider3d(w,dim,new_width,choices,div=False):
old_width = w.size(dim)
if dim==0:
new_... | 12,372 | 32.082888 | 245 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/FPI_gpt.py | """
preprocessing script before training distillBert
specific to bert->distillbert
"""
import collections
import sys
import torch.nn as nn
import torch
import math
import numpy as np
import random
from . import checkpoint_utils
def wider3d(w,dim,new_width,choices,div=False, add_noise=False):
old_width = w.size(dim... | 15,279 | 35.908213 | 287 | py |
ELLE | ELLE-main/fairseq_ELLE/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 shutil
import traceback
from collections import OrderedDict
from typing import Un... | 18,166 | 36.151329 | 124 | py |
ELLE | ELLE-main/fairseq_ELLE/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.
from collections import defaultdict
import contextlib
import copy
import importlib.util
import math
import os
import sys
from typing import Ca... | 13,882 | 31.665882 | 111 | py |
ELLE | ELLE-main/fairseq_ELLE/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 os
import torch
from torch import nn
from fairseq import utils
from fairseq.dat... | 8,171 | 33.627119 | 117 | py |
ELLE | ELLE-main/fairseq_ELLE/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."""
... | 4,508 | 36.575 | 107 | py |
ELLE | ELLE-main/fairseq_ELLE/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 os
import pickle
import socket
import subprocess
import warnings
import torch
import torch.distributed as dist
from fairseq import ut... | 6,952 | 35.984043 | 97 | py |
ELLE | ELLE-main/fairseq_ELLE/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
import torch
from fairseq import search, utils
from fairseq.data import data_utils
from fairseq.models import FairseqIncremental... | 30,353 | 41.512605 | 118 | py |
ELLE | ELLE-main/fairseq_ELLE/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 ... | 6,724 | 36.154696 | 88 | py |
ELLE | ELLE-main/fairseq_ELLE/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 torch
import sys
from fairseq import utils
from fairseq.data.indexed_dataset import get_available_dataset_impl
def ... | 31,643 | 53 | 120 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/bleu.py | # Copyright (c) Facebook, Inc. and its 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 torch
try:
from fairseq import libbleu
except ImportError as e:
import sys
sys.stderr.write('ERR... | 3,955 | 29.430769 | 83 | py |
ELLE | ELLE-main/fairseq_ELLE/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... | 10,466 | 31.811912 | 98 | py |
ELLE | ELLE-main/fairseq_ELLE/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
import torch
class Search(object):
def __init__(self, tgt_dict):
self.pad = tgt_dict.pad()
self.unk = tgt_... | 11,223 | 36.918919 | 104 | py |
ELLE | ELLE-main/fairseq_ELLE/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
from fairseq import utils
DecoderOut = namedtuple('IterativeRefinementDecoderOut', [
'... | 9,288 | 36.007968 | 117 | py |
ELLE | ELLE-main/fairseq_ELLE/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
import math
import os
import sys
from collections import OrderedDict
from ite... | 30,786 | 37.872475 | 197 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/FPI_new.py | """
preprocessing script before training distillBert
specific to bert->distillbert
"""
import collections
import sys
import torch.nn as nn
import torch
import math
import numpy as np
import random
from . import checkpoint_utils
def wider3d(w,dim,new_width,choices,div=False, add_noise=False):
old_width = w.size(dim... | 15,991 | 36.451991 | 287 | py |
ELLE | ELLE-main/fairseq_ELLE/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.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.modules import (
LayerNorm,
... | 2,916 | 30.365591 | 80 | py |
ELLE | ELLE-main/fairseq_ELLE/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.
import torch.nn as nn
from fairseq import utils
class LearnedPositionalEmbedding(nn.Embedding):
"""
This module learns positional e... | 1,881 | 35.901961 | 94 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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
import torch
from torch import nn
from torch.nn import Parameter
import torch.nn.functional as F
from fairseq import utils
clas... | 15,711 | 42.283747 | 116 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/highway.py | # Copyright (c) Facebook, Inc. and its 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
class Highway(torch.nn.Module):
"""
A `Highway layer <https://arxiv.org/abs/1505.00387>`_.
Ad... | 1,745 | 31.943396 | 97 | py |
ELLE | ELLE-main/fairseq_ELLE/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
class LinearizedConvolution(ConvTBC):... | 3,598 | 39.897727 | 95 | py |
ELLE | ELLE-main/fairseq_ELLE/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
class ... | 9,815 | 37.194553 | 106 | py |
ELLE | ELLE-main/fairseq_ELLE/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... | 790 | 29.423077 | 90 | py |
ELLE | ELLE-main/fairseq_ELLE/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 Sinus... | 1,287 | 36.882353 | 83 | py |
ELLE | ELLE-main/fairseq_ELLE/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 typing import List
class AdaptiveInput(nn.Module):
def __init__(
self,
vocab_s... | 2,283 | 30.287671 | 80 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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 torch
import torch.nn.functional as F
from torch import nn
from typing import List, Tuple
from .highway import Highway
from fairseq.... | 5,298 | 32.327044 | 106 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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 torch import nn
class TiedLinear(nn.Module):
def __i... | 7,207 | 33.821256 | 112 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.modules import LayerNorm, MultiheadA... | 13,496 | 42.259615 | 147 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/mean_pool_gating_network.py | # Copyright (c) Facebook, Inc. and its 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
class MeanPoolGatingNetwork(torch.nn.Module):
"""A simple mean-pooling gating network for s... | 2,007 | 38.372549 | 84 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/logsumexp_moe.py | # Copyright (c) Facebook, Inc. and its 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 LogSumExpMoE(torch.autograd.Function):
"""Standard LogSumExp forward pass, but use *posterior* for the backward.
... | 835 | 29.962963 | 78 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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
def LayerNorm(normalized_shape, eps=1e-5, elementwise_affine=True, export=False):
if not export and torch.cuda.is_available... | 590 | 33.764706 | 81 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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
import torch.nn.functional as F
from fairseq.modules import (
Layer... | 8,950 | 34.804 | 106 | py |
ELLE | ELLE-main/fairseq_ELLE/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 |
ELLE | ELLE-main/fairseq_ELLE/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... | 3,164 | 36.678571 | 107 | py |
ELLE | ELLE-main/fairseq_ELLE/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
import torch
import torch.nn as nn
import torch.onnx.operators
from fairseq import utils
class SinusoidalPositionalEmbedding(n... | 3,539 | 40.162791 | 116 | py |
ELLE | ELLE-main/fairseq_ELLE/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
de... | 10,290 | 39.356863 | 103 | py |
ELLE | ELLE-main/fairseq_ELLE/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
def DynamicConv(i... | 10,910 | 43.901235 | 132 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/dynamicconv_layer/setup.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.
from setuptools import setup
from torch.utils.cpp_extension import CUDAExtension, BuildExtension
setup(
name='dyna... | 613 | 24.583333 | 67 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/dynamicconv_layer/dynamicconv_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.
import torch
from torch import nn
from torch.autograd import Function
import torch.nn.functional as F
import dynamicconv_cuda
from fairseq im... | 8,605 | 39.403756 | 129 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/lightconv_layer/setup.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.
from setuptools import setup
from torch.utils.cpp_extension import CUDAExtension, BuildExtension
setup(
name='ligh... | 545 | 25 | 67 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/modules/lightconv_layer/lightconv_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.
import torch
from torch import nn
from torch.autograd import Function
import torch.nn.functional as F
import lightconv_cuda
from fairseq impo... | 4,235 | 34.3 | 98 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/fairseq_criterion.py | # Copyright (c) Facebook, Inc. and 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.nn.modules.loss import _Loss
class FairseqCriterion(_Loss):
def __init__(self, args, task):
super().__init__()
... | 1,359 | 29.222222 | 103 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/nat_loss.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn.functional as F
from fairseq import utils
import torch
from torch import Tensor
from . import FairseqCriterion, ... | 6,035 | 34.298246 | 88 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/continual_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 math
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@register_criteri... | 2,685 | 38.5 | 109 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/legacy_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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
def ... | 6,360 | 41.97973 | 100 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/adaptive_loss.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@register_criteri... | 3,600 | 37.72043 | 105 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@re... | 2,837 | 33.609756 | 130 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/continual_KI.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@re... | 6,437 | 38.018182 | 143 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/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 math
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@register_criteri... | 2,607 | 37.352941 | 95 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/clmb_criterion.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@re... | 2,844 | 33.695122 | 130 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/sentence_prediction.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@re... | 3,341 | 33.453608 | 97 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/sentence_ranking.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@re... | 3,874 | 34.227273 | 87 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/composite_loss.py | # Copyright (c) Facebook, Inc. and 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
from fairseq import utils
from . import FairseqCriterion, register_criterion
@register_criterion('composite_loss')
cla... | 3,386 | 35.815217 | 96 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/criterions/binary_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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from . import FairseqCriterion, register_criterion
@reg... | 2,468 | 33.291667 | 82 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/levenshtein_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.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.iterative_refinement_generator import DecoderOut
from fairseq... | 27,687 | 36.670748 | 120 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/wav2vec.py | # Copyright (c) Facebook, Inc. and its 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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
from . import (
BaseFairseqModel, register_mo... | 18,421 | 37.864979 | 119 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/lstm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import options, utils
from fairseq.models import (
Fairse... | 24,690 | 42.700885 | 105 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/nonautoregressive_ensembles.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq.models.levenshtein_transformer import (
_fill,
_skip,
_ski... | 9,040 | 37.969828 | 120 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/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 torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.models import (
BaseFairseqMode... | 15,476 | 42.231844 | 100 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/model_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 List, Optional
import torch
from torch import Tensor
@torch.jit.script
def script_skip_tensor_list(x: List[Tensor], mask... | 2,335 | 24.67033 | 103 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/insertion_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.
import numpy as np
import torch
import torch.nn.functional as F
from fairseq.models import register_model, register_model_architecture
from f... | 10,516 | 36.560714 | 88 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/fairseq_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
class FairseqEncoder(nn.Module):
"""Base class for encoders."""
def __init__(self, dictionary):
super... | 1,396 | 29.369565 | 78 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/fconv.py | # Copyright (c) Facebook, Inc. and its 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 import utils
from fairseq.models import (
Fai... | 27,654 | 40.399701 | 127 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/lightconv.py | # Copyright (c) Facebook, Inc. and its 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 import options, utils
from fairseq.models import... | 34,158 | 44.00527 | 125 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/nonautoregressive_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.
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.iterative_refinement_generator import DecoderOut
from fai... | 15,538 | 35.997619 | 108 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/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.
from collections import namedtuple
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import option... | 39,647 | 43.498316 | 159 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/fconv_self_att.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import checkpoint_utils
from fairseq.m... | 24,122 | 40.591379 | 111 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/fairseq_decoder.py | # Copyright (c) Facebook, Inc. and its 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 import utils
class FairseqDecoder(nn.Module):
"""Base class for decoders."""
def __init__(self,... | 2,829 | 33.512195 | 95 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/fairseq_model.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Base classes for various fairseq models.
"""
from typing import Dict, List, Optional
import torch
import torch.nn as nn
import torch.nn.f... | 16,053 | 34.995516 | 110 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/iterative_nonautoregressive_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.
import torch
from fairseq.models import register_model, register_model_architecture
from fairseq.models.nonautoregressive_transformer import ... | 8,248 | 40.039801 | 99 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/distributed_fairseq_model.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import inspect
import torch.nn as nn
from fairseq.legacy_distributed_data_parallel import LegacyDistributedDataParallel
from fairseq.models ... | 2,426 | 35.223881 | 82 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/bart/hub_interface.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import List
from fairseq impor... | 6,872 | 36.763736 | 129 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/bart/model.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
BART: Denoising Sequence-to-Sequence Pre-training for
Natural Language Generation, Translation, and Comprehension
"""
import torch.nn as n... | 10,444 | 41.287449 | 121 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/roberta/hub_interface.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.data import enco... | 8,410 | 40.029268 | 114 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/roberta/model.py | # Copyright (c) Facebook, Inc. and 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 torch
import torch.nn as nn
import torch.nn.functional as F
from fair... | 22,285 | 43.483034 | 142 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/models/roberta/alignment_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 collections import Counter
from typing import List
import torch
def align_bpe_to_words(roberta, bpe_tokens: torch.LongTensor, other_to... | 4,074 | 34.12931 | 98 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/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 torch
import torch.distributed as dist
from . import FairseqOptimizer
class FairseqBMUF(FairseqOptimizer):
"""
Implements in... | 8,016 | 34.631111 | 90 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/nag.py | # Copyright (c) Facebook, Inc. and its 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.optim.optimizer import Optimizer, required
from . import FairseqOptimizer, register_optimizer
@register_optimizer('... | 3,210 | 32.103093 | 96 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/sgd.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('sgd')
class SGD(FairseqOptimizer):
def __ini... | 1,359 | 33 | 92 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/adamax.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adamax')
class FairseqAdamax(Fairse... | 5,819 | 37.289474 | 92 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/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.
from itertools import chain
import torch
from fairseq import optim, utils
class DynamicLossScaler(object):
def __init__(
self... | 14,764 | 36.379747 | 97 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/adam.py | # Copyright (c) Facebook, Inc. and its 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 types
import torch
import torch.optim
import torch.distributed as dist
from . import FairseqOptimizer, register_optimizer... | 13,968 | 41.458967 | 139 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/adafactor.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adafactor')
class Fairs... | 9,545 | 43.607477 | 110 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/adagrad.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adagrad')
class Adagrad(FairseqOptimizer):
d... | 1,195 | 31.324324 | 92 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/fairseq_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 math
import torch
class FairseqOptimizer(object):
def __init__(self, args):
super().__init__()
self.args = args... | 3,751 | 31.912281 | 99 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/adadelta.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adadelta')
class Adadelta(FairseqOptimizer):
... | 1,752 | 38.840909 | 105 | py |
ELLE | ELLE-main/fairseq_ELLE/fairseq/optim/lr_scheduler/inverse_square_root_schedule.py | # Copyright (c) Facebook, Inc. and 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 FairseqLRScheduler, register_lr_scheduler
@register_lr_scheduler('inverse_sqrt')
class InverseSquareRootSchedule(FairseqLRSche... | 3,027 | 39.373333 | 97 | py |
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