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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DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 ... | 6,265 | 35.430233 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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
from typing import Callable, List, Optional
import torch
from fairseq import utils
from fairseq.data.indexed_dataset import g... | 19,595 | 43.334842 | 120 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 16,555 | 31.654832 | 96 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 11,237 | 30.745763 | 92 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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.
import uuid
from typing import Dict, Optional
from torch import Tensor
class FairseqIncrementalState(object):
def __init__(self, *args,... | 1,773 | 33.115385 | 76 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 List, Optional
import torch
import torch.nn as nn
from fairseq.token_generation_constraints import (
Const... | 31,337 | 37.451534 | 100 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 a... | 3,755 | 33.458716 | 119 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 numpy as np
import torch
from fairseq import utils
DecoderOut = namedtuple(
"IterativeRefinem... | 13,238 | 35.775 | 93 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 logging
import sys
import time
from itertools import chain
from typing... | 43,187 | 36.851008 | 94 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 LayerNorm, Mul... | 4,145 | 29.711111 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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):
"""Sp... | 4,931 | 33.978723 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 fairseq import utils
from fairseq.incr... | 19,274 | 38.417178 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 fairseq.incremental_decoding_utils import with_incremental_state
... | 4,314 | 40.095238 | 83 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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.fairseq_dropout import FairseqDropout
f... | 10,673 | 32.671924 | 106 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 4,005 | 36.092593 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 1,295 | 35 | 83 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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__)... | 1,686 | 31.442308 | 83 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 1,737 | 27.966667 | 82 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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.
from typing import List
import torch
from fairseq.modules.quant_noise import quant_noise
from torch import nn
class AdaptiveInput(nn.Modul... | 2,566 | 30.691358 | 82 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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,
... | 6,781 | 32.91 | 117 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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
import torch.nn.functional as F
from fairseq.data import Dictionary
from torch imp... | 6,974 | 31.44186 | 97 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 596 | 28.85 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 functools
import operator
import torch
import torch.nn.functional as F
from fairseq.modules.fairseq_dropout import FairseqDropout
from... | 8,789 | 31.67658 | 85 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 1,409 | 31.790698 | 80 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 fairseq import utils
from fairseq.modules import LayerNorm, M... | 16,954 | 38.988208 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 1,763 | 34.28 | 80 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 1,500 | 28.431373 | 81 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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__(
... | 4,170 | 31.585938 | 83 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 7,717 | 39.621053 | 99 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 9,983 | 33.787456 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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... | 3,155 | 31.536082 | 71 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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.incremental_decoding_utils import wi... | 10,919 | 34.11254 | 103 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 fairseq.incremental_decoding_utils import wi... | 11,579 | 36.967213 | 132 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 BuildExtension, CUDAExtension
setup(
name="dyn... | 602 | 24.125 | 67 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 dynamicconv_cuda
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_decoding_utils import ... | 8,921 | 38.131579 | 116 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/pq/em.py | # Copyright (c) Facebook, Inc. and its 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 random
from collections import Counter
import torch
class EM:
"""
EM algorithm used to quantize the... | 7,333 | 33.59434 | 92 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/pq/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 re
from operator import attrgetter, itemgetter
import numpy as np
import torch.distributed as dist
import torch.nn as n... | 11,619 | 33.378698 | 100 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/pq/modules/qlinear.py | # Copyright (c) Facebook, Inc. and its 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 PQLinear(nn.Module):
"""
Quantized counterpart of nn.Linear... | 2,547 | 34.388889 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/pq/modules/qconv.py | # Copyright (c) Facebook, Inc. and its 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 torch.nn.modules.utils import _pair
class PQConv2... | 4,245 | 35.603448 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/pq/modules/qemb.py | # Copyright (c) Facebook, Inc. and its 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 PQEmbedding(nn.Module):
"""
Quantized counterpart of nn.Emb... | 3,719 | 33.444444 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/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
from operator import attrgetter
import torch.distributed as dist
import torch.nn as nn
from ..pq.utils import attrsetter, get... | 2,446 | 30.371795 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/ops.py | # Copyright (c) Facebook, Inc. and its 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 emulate_int(w, bits, method, scale=None, zero_point=None):
q = globals()[f"emulate_int{bits}_{method}"]
return q(w,... | 1,683 | 32.68 | 77 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/modules/qlinear.py | # Copyright (c) Facebook, Inc. and its 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 ..ops import emulate_int
class IntLinear(nn.Module):
"""
Qu... | 3,631 | 30.859649 | 101 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/modules/qconv.py | # Copyright (c) Facebook, Inc. and its 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.nn.modules.conv import _ConvNd
from torch.nn.modules.utils import _pair
from ..ops im... | 4,450 | 28.673333 | 90 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/modules/qemb.py | # Copyright (c) Facebook, Inc. and its 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 ..ops import emulate_int
class IntEmbedding(nn.Module):
"""
... | 4,986 | 32.695946 | 93 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/modules/quantization/scalar/modules/qact.py | # Copyright (c) Facebook, Inc. and its 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 ..ops import emulate_int
class ActivationQuantizer:
"""
Fake scalar quantization of the activations using a forwa... | 3,079 | 33.606742 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 BuildExtension, CUDAExtension
setup(
name="lig... | 581 | 23.25 | 67 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/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 lightconv_cuda
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.incremental_decoding_utils import wi... | 4,799 | 33.782609 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/dataclass/data_class.py | # Copyright (c) Facebook, Inc. and its 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
from argparse import Namespace
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Tuple, Type
... | 28,804 | 36.215762 | 150 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/linformer/linformer_src/modules/multihead_linear_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 fairseq import utils
from fairseq.incr... | 19,243 | 38.596708 | 98 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/linformer/linformer_src/modules/linformer_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 math
import torch.nn as nn
from fairseq.modules import TransformerSentenceEncoder
from .linformer_sentence_encoder_layer import Linfo... | 6,319 | 36.176471 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/wav2vec/vq-wav2vec_featurize.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Helper script to pre-compute embeddings for a wav2letter++ dataset
"""
import argparse
import glob
import os
impor... | 7,751 | 29.519685 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/wav2vec/wav2vec_featurize.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Helper script to pre-compute embeddings for a wav2letter++ dataset
"""
import argparse
import glob
import os
from ... | 7,110 | 27.218254 | 135 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/criss/save_encoder.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 numpy as np
import torch
from fairseq import check... | 7,420 | 33.67757 | 90 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/translation_moe/translation_moe_src/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... | 2,005 | 38.333333 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/translation_moe/translation_moe_src/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.
... | 837 | 30.037037 | 78 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/translation_moe/translation_moe_src/translation_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
from fairseq import metrics, utils
from fairseq.tasks import register_task
from fairseq.tasks.translation import TranslationTask
... | 9,385 | 38.108333 | 95 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/latent_depth/latent_depth_src/modules/latent_layers.py | # Copyright (c) Facebook, Inc. and its 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 LayerSelect(nn.Module):
"""Compute samples (from a Gumbel-Sigmoid distribution) which is used a... | 2,956 | 32.988506 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/latent_depth/latent_depth_src/models/latent_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 typing import Any, Dict, Optional
import torch.nn as nn
from fairseq.models.fairseq_encoder import EncoderOut
from fairseq.models.transf... | 5,240 | 34.653061 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/latent_depth/latent_depth_src/loss/latent_depth.py | # Copyright (c) Facebook, Inc. and its 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.nn.modules.loss import _Loss
class LatentLayersKLLoss(_Loss):
def __init__(self, args):
sup... | 3,802 | 37.03 | 86 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_to_text/prep_covost_data.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 csv
import logging
import os
import os.path as op
import shutil
from tempfile import NamedTempor... | 9,618 | 31.60678 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_to_text/prep_librispeech_data.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 logging
import os
import os.path as op
import shutil
from tempfile import NamedTemporaryFile
im... | 3,758 | 30.325 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_to_text/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 csv
import os
import os.path as op
import zipfile
from functools import reduce
from glob import glob
from multip... | 8,037 | 29.562738 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_to_text/prep_mustc_data.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 logging
import os
import os.path as op
import shutil
from itertools import groupby
from tempfile... | 7,506 | 36.348259 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/roberta/commonsense_qa/commonsense_qa_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 json
import os
import numpy as np
import torch
from fairseq.data import (
Dictionary,
IdDataset,
ListDataset,
NestedDi... | 6,124 | 31.068063 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/roberta/wsc/wsc_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 json
import os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.... | 13,524 | 32.644279 | 90 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/roberta/wsc/wsc_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 fairseq.criterions import LegacyFairseqCriterion, reg... | 6,023 | 34.857143 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/infer.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Run inference for pre-processed data with a trained model.
"""
import logging
import math
import os
import sys
... | 15,443 | 32.212903 | 111 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/w2l_decoder.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.
"""
Wav2letter decoders.
"""
import gc
import itertools as it
import os.path as osp
import warnings
from collections ... | 14,874 | 33.116972 | 164 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/criterions/cross_entropy_acc.py | # Copyright (c) Facebook, Inc. and 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
import logging
import math
import torch
import torch.nn.f... | 5,372 | 40.015267 | 85 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/criterions/ASG_loss.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 torch
from examples.speech_recognition.data.replabels import pack_replabels
from fairseq import utils
from fair... | 5,857 | 33.25731 | 85 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/models/vggtransformer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import math
from collections.abc import Iterable
import torch
import torch.nn as nn
from examples.speech_recognition.data.dat... | 37,226 | 35.497059 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/models/w2l_conv_glu_enc.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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
Fairs... | 6,078 | 33.151685 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/datasets/asr_prep_json.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 __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import concurrent.f... | 3,775 | 28.968254 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/data/collaters.py | # Copyright (c) Facebook, Inc. and 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 module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | 4,796 | 35.340909 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/speech_recognition/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.
import torch
def calc_mean_invstddev(feature):
if len(feature.size()) != 2:
raise ValueError("We expect the input feature to be ... | 3,429 | 32.960396 | 84 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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... | 3,955 | 31.162602 | 82 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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 examples.speech_recognition.data import AsrDataset
from examples.speech_recognit... | 5,397 | 33.164557 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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... | 5,027 | 45.555556 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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 as nn
import torch.nn.functional as F
from examples.simultaneous_translation.utils.functions import ... | 21,794 | 33.983949 | 105 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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.
import argparse
import json
import torch
from examples.simultaneous_translation.utils.latency import LatencyInference
LATENCY_METRICS = [
... | 2,385 | 29.202532 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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 examples.simultaneous_translation.modules.monotonic_transformer_layer ... | 10,868 | 32.650155 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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... | 3,950 | 25.34 | 87 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/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):
... | 14,758 | 31.652655 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/pointer_generator/pointer_generator_src/transformer_pg.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from typing import Any, Dict, Optional
import torch
import torch.nn as nn
from fairseq import metrics, utils
from fairseq.mode... | 21,402 | 44.635394 | 102 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/rxf/rxf_src/label_smoothed_cross_entropy_r3f.py | # Copyright (c) Facebook, Inc. and its 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 metrics, utils
from fairseq.criterions import FairseqCriterion, ... | 6,109 | 37.670886 | 91 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/examples/rxf/rxf_src/sentence_prediction_r3f.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import FairseqCriterion, register_... | 6,515 | 37.105263 | 96 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/logging/progress_bar.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Wrapper around various loggers and progress bars (e.g., tqdm).
"""
import atexit
import json
import logging
import os
import sys
from col... | 10,993 | 29.882022 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/logging/metrics.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
A standalone module for aggregating metrics.
Metrics can be logged from anywhere using the `log_*` functions defined
in this module. The l... | 9,304 | 31.197232 | 88 | py |
DDRS-NAT | DDRS-NAT-master/build/lib.linux-x86_64-3.8/fairseq/logging/meters.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import bisect
import time
from collections import OrderedDict
from typing import Dict, Optional
try:
import torch
def type_as(a, b)... | 7,927 | 26.150685 | 79 | py |
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