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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rej-summ | rej-summ-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 List, Optional
import torch
import torch.nn as nn
from fairseq.token_generation_constraints import (
Const... | 31,938 | 37.620314 | 100 | py |
rej-summ | rej-summ-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 a... | 3,742 | 33.33945 | 119 | py |
rej-summ | rej-summ-main/fairseq/speech_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 numpy as np
import torch
from fairseq.data.audio.speech_to_text_dataset import S2TDataConfig
class SpeechGenerator(object):
def ... | 16,297 | 37.079439 | 88 | py |
rej-summ | rej-summ-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 numpy as np
import torch
from fairseq import utils
DecoderOut = namedtuple(
"IterativeRefinem... | 13,238 | 35.775 | 93 | py |
rej-summ | rej-summ-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
import logging
import os
import sys
import time
from argparse import Namespac... | 65,747 | 40.298995 | 202 | py |
rej-summ | rej-summ-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 LayerNorm, Mul... | 4,326 | 29.907143 | 84 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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):
"""Sp... | 4,931 | 33.978723 | 86 | py |
rej-summ | rej-summ-main/fairseq/modules/transformer_layer_aug.py | # Copyright (c) Facebook, Inc. and 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
from numpy.random import uniform
from torch import Tensor
from fairseq.modules import L... | 13,235 | 40.886076 | 88 | py |
rej-summ | rej-summ-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, List, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from tor... | 35,187 | 37.625686 | 104 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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, causal=False):
super().__init__()
if cau... | 552 | 24.136364 | 65 | py |
rej-summ | rej-summ-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 fairseq.incremental_decoding_utils import with_incremental_state
... | 4,744 | 36.65873 | 83 | py |
rej-summ | rej-summ-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.fairseq_dropout import FairseqDropout
... | 10,672 | 32.562893 | 106 | py |
rej-summ | rej-summ-main/fairseq/modules/base_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.nn as nn
import torch
import sys
from fairseq import utils
from fairseq.distributed import utils as distributed_utils
from fairse... | 6,693 | 38.146199 | 118 | py |
rej-summ | rej-summ-main/fairseq/modules/kmeans_attention.py | import math
from functools import reduce, wraps
from inspect import isfunction
from operator import mul
import torch
import torch.nn as nn
import torch.nn.functional as F
from aml.multimodal_video.utils.einops.lib import rearrange, repeat
from aml.multimodal_video.utils.einops.lib.layers.torch import Rearrange
from f... | 21,840 | 28.316779 | 88 | py |
rej-summ | rej-summ-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... | 4,005 | 36.092593 | 87 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-main/fairseq/modules/fp32_batch_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.
"""
batch norm done in fp32 (for fp16 training)
"""
import torch
import torch.nn as nn
class Fp32BatchNorm(nn.Module):
def __init__(self,... | 1,320 | 28.355556 | 67 | py |
rej-summ | rej-summ-main/fairseq/modules/lstm_cell_with_zoneout.py | # Copyright (c) Facebook, Inc. and its 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 LSTMCellWithZoneOut(nn.Module):
"""
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations... | 1,220 | 31.131579 | 86 | py |
rej-summ | rej-summ-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 Sinus... | 1,293 | 34.944444 | 83 | py |
rej-summ | rej-summ-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__)... | 1,703 | 31.769231 | 83 | py |
rej-summ | rej-summ-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, target... | 1,871 | 30.2 | 82 | py |
rej-summ | rej-summ-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.
from typing import List
import torch
from torch import nn
from fairseq.modules.quant_noise import quant_noise
class AdaptiveInput(nn.Modu... | 2,565 | 30.292683 | 82 | py |
rej-summ | rej-summ-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,
... | 6,891 | 32.784314 | 117 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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
import torch.nn.functional as F
from fairseq.data import Dictionary
from torch imp... | 6,974 | 31.44186 | 97 | py |
rej-summ | rej-summ-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: int, padding_l: int, pad_value: float = 0):
"""unfold T x B x C to T x B x ... | 615 | 29.8 | 84 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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 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 |
rej-summ | rej-summ-main/fairseq/modules/conformer_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 Optional
import torch
from fairseq.modules import (
ESPNETMultiHeadedAttention,
LayerNorm,
MultiheadAttentio... | 9,132 | 29.241722 | 131 | py |
rej-summ | rej-summ-main/fairseq/modules/espnet_multihead_attention.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2019 Shigeki Karita
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Multi-Head Attention layer definition."""
import math
import torch
from torch import nn
from fairseq.modules.rotary_positional_embedding import (
RotaryPositionalEmbeddi... | 9,673 | 36.642023 | 84 | py |
rej-summ | rej-summ-main/fairseq/modules/rotary_positional_embedding.py | import torch
class RotaryPositionalEmbedding(torch.nn.Module):
def __init__(self, dim, base=10000, precision=torch.half):
"""Rotary positional embedding
Reference : https://blog.eleuther.ai/rotary-embeddings/
Paper: https://arxiv.org/pdf/2104.09864.pdf
Args:
dim: Dimens... | 1,851 | 34.615385 | 81 | py |
rej-summ | rej-summ-main/fairseq/modules/location_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.nn as nn
import torch
import torch.nn.functional as F
class LocationAttention(nn.Module):
"""
Attention-Based Models fo... | 2,909 | 33.642857 | 80 | py |
rej-summ | rej-summ-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 import nn
from torch.nn.modules.utils import _single
from torch import Tensor
class ConvTBC(torch.nn.Module):
""... | 1,683 | 30.185185 | 80 | py |
rej-summ | rej-summ-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 import Tensor
from fairseq import utils
from fairseq.m... | 21,701 | 37.547069 | 88 | py |
rej-summ | rej-summ-main/fairseq/modules/ema_module.py | #!/usr/bin/env python3
"""
Used for EMA tracking a given pytorch module. The user is responsible for calling step()
and setting the appropriate decay
"""
import copy
from dataclasses import dataclass, field
import logging
import torch
from fairseq.dataclass import FairseqDataclass
@dataclass
class EMAModuleConfig... | 4,872 | 31.271523 | 88 | py |
rej-summ | rej-summ-main/fairseq/modules/positional_encoding.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch.nn as nn
import math
import torch
class PositionalEncoding(nn.Module):
"""Positional encoding.
Args:
d_model: ... | 4,950 | 37.084615 | 84 | py |
rej-summ | rej-summ-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... | 1,763 | 34.28 | 80 | py |
rej-summ | rej-summ-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
... | 1,524 | 30.122449 | 81 | py |
rej-summ | rej-summ-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__(
... | 4,170 | 31.585938 | 83 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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... | 7,717 | 39.621053 | 99 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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... | 10,162 | 33.804795 | 88 | py |
rej-summ | rej-summ-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 |
rej-summ | rej-summ-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... | 3,155 | 31.536082 | 71 | py |
rej-summ | rej-summ-main/fairseq/modules/fp32_instance_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 Fp32InstanceNorm(nn.Instance... | 1,238 | 33.416667 | 85 | py |
rej-summ | rej-summ-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
... | 3,914 | 35.933962 | 87 | py |
rej-summ | rej-summ-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.incremental_decoding_utils import wi... | 10,919 | 34.11254 | 103 | py |
rej-summ | rej-summ-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.
from typing import Dict, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.i... | 19,697 | 36.377609 | 140 | py |
rej-summ | rej-summ-main/fairseq/modules/checkpoint_activations.py | # Copyright (c) Facebook, Inc. and its 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
from typing import Any, Dict, List, Tuple, Union
import torch
import torch.utils.checkpoint as checkpoint
from fairseq impor... | 8,825 | 35.320988 | 98 | py |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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 ... | 8,922 | 38.135965 | 117 | py |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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 torch
import numpy as np
import torch.distributed as dist
import t... | 13,493 | 34.793103 | 100 | py |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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... | 2,657 | 31.814815 | 94 | py |
rej-summ | rej-summ-main/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
try:
import torch.ao.quantization as quantization
except ImportError:
import torch.quantization as quantization
def em... | 2,029 | 32.833333 | 81 | py |
rej-summ | rej-summ-main/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... | 3,629 | 30.842105 | 101 | py |
rej-summ | rej-summ-main/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... | 4,448 | 28.66 | 90 | py |
rej-summ | rej-summ-main/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):
"""
... | 4,984 | 32.682432 | 93 | py |
rej-summ | rej-summ-main/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... | 3,077 | 33.58427 | 87 | py |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/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 |
rej-summ | rej-summ-main/fairseq/dataclass/constants.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from enum import Enum, EnumMeta
from typing import List
class StrEnumMeta(EnumMeta):
# this is workaround for submitit pickling leading ... | 1,787 | 30.368421 | 107 | py |
rej-summ | rej-summ-main/fairseq/dataclass/configs.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import sys
from dataclasses import _MISSING_TYPE, dataclass, field
from typing import Any, List, Optional
import torch
from omegaco... | 40,161 | 34.014821 | 236 | py |
rej-summ | rej-summ-main/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... | 18,173 | 30.173242 | 88 | py |
rej-summ | rej-summ-main/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... | 10,012 | 30.586751 | 88 | py |
rej-summ | rej-summ-main/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):... | 8,710 | 26.052795 | 79 | py |
rej-summ | rej-summ-main/fairseq/criterions/hubert_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 re
from dataclasses import dataclass, field
from typing import List, Optional
import torch
import torch.nn.functional as F... | 7,665 | 38.312821 | 103 | py |
rej-summ | rej-summ-main/fairseq/criterions/tacotron2_loss.py | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import logging
from dataclasses im... | 8,330 | 35.700441 | 88 | py |
rej-summ | rej-summ-main/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.
import inspect
from typing import Any, Dict, List
from fairseq import metrics, utils
from fairseq.dataclass import FairseqDataclass
from fair... | 4,424 | 35.570248 | 79 | py |
rej-summ | rej-summ-main/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
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | 6,355 | 34.116022 | 88 | py |
rej-summ | rej-summ-main/fairseq/criterions/label_smoothed_cross_entropy_latency_augmented.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import torch
from fairseq import metrics, utils
from fairseq.criterions import register_criterion
fro... | 7,969 | 35.063348 | 88 | py |
rej-summ | rej-summ-main/fairseq/criterions/model_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 logging
from dataclasses import dataclass, field
from typing import Dict, List
import torch
from fairseq import metrics, utils
from f... | 5,380 | 33.49359 | 88 | py |
rej-summ | rej-summ-main/fairseq/criterions/wav2vec_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
from dataclasses import dataclass, field
from typing import List, Optional
import torch
import torch.nn.functional as F
from fair... | 8,981 | 37.883117 | 100 | py |
rej-summ | rej-summ-main/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 metrics, utils
from fairseq.criterions import FairseqCriterion, ... | 7,006 | 38.365169 | 87 | py |
rej-summ | rej-summ-main/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
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | 4,558 | 35.766129 | 105 | py |
rej-summ | rej-summ-main/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.
from dataclasses import dataclass
import math
from omegaconf import II
import torch
from fairseq import metrics, modules, utils
from fairseq.... | 3,402 | 33.373737 | 79 | py |
rej-summ | rej-summ-main/fairseq/criterions/fastspeech2_loss.py | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from typing import List, Dict, Any... | 5,323 | 37.861314 | 85 | py |
rej-summ | rej-summ-main/fairseq/criterions/label_smoothed_cross_entropy_with_ctc.py | # Copyright (c) Facebook, Inc. and its 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 dataclasses import dataclass, field
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fa... | 3,376 | 33.814433 | 84 | py |
rej-summ | rej-summ-main/fairseq/criterions/speech_ulm_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 torch
from dataclasses import dataclass, field
import torch.nn.functional as F
from fairseq import metrics
from fairseq.tasks import F... | 4,579 | 35.062992 | 94 | py |
rej-summ | rej-summ-main/fairseq/criterions/speech_to_speech_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 logging
import math
from collections import OrderedDict
import torch
from fairseq import metrics, utils
from fairseq.criterions impor... | 19,214 | 36.166344 | 89 | py |
rej-summ | rej-summ-main/fairseq/criterions/ctc.py | # All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from argparse import Namespace
from dataclasses import dataclass, f... | 12,015 | 36.55 | 104 | py |
rej-summ | rej-summ-main/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
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | 3,345 | 35.769231 | 82 | py |
rej-summ | rej-summ-main/fairseq/criterions/label_smoothed_cross_entropy_with_rdrop.py | # Copyright (c) Facebook, Inc. and its 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 dataclasses import dataclass, field
import torch
from fairseq import metrics, utils
from fairseq.criterions import register... | 6,174 | 33.887006 | 87 | py |
rej-summ | rej-summ-main/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
from dataclasses import dataclass, field
import torch
import torch.nn.functional as F
from fairseq import metrics
from fairseq.c... | 5,278 | 36.176056 | 96 | py |
rej-summ | rej-summ-main/fairseq/criterions/sentence_prediction_adapters.py | # Copyright (c) Facebook, Inc. and its 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.criterions import register_criterion
from fairseq.criterions.sentence_prediction imp... | 2,349 | 35.71875 | 96 | py |
rej-summ | rej-summ-main/fairseq/criterions/label_smoothed_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
from dataclasses import dataclass, field
import torch
from omegaconf import II
from fairseq import metrics, utils
from fairseq.c... | 6,263 | 36.508982 | 86 | py |
rej-summ | rej-summ-main/fairseq/criterions/label_smoothed_cross_entropy_with_rejection.py | # -*- coding: utf-8 -*-
"""Implementation of rejection loss
Check our paper: Learning with Rejection for Abstractive Text Summarization
"""
import math
import torch
from fairseq import metrics, utils
from fairseq.criterions import register_criterion
from .label_smoothed_cross_entropy import (
LabelSmoothedCross... | 6,570 | 34.711957 | 88 | py |
rej-summ | rej-summ-main/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 metrics, utils
from fairseq.criterions import FairseqCriterion, ... | 4,614 | 37.140496 | 87 | py |
rej-summ | rej-summ-main/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 fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, register_criterion
from torch import nn
@register_criterion... | 3,793 | 36.564356 | 93 | py |
rej-summ | rej-summ-main/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.
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
f... | 30,557 | 39.420635 | 91 | py |
rej-summ | rej-summ-main/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 logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.models import (
... | 15,244 | 36.641975 | 88 | py |
rej-summ | rej-summ-main/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... | 2,343 | 24.204301 | 79 | py |
rej-summ | rej-summ-main/fairseq/models/transformer_ulm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq.models.fairseq_decoder import FairseqDecoder
import numpy as np
from typing import Opti... | 13,870 | 32.914425 | 88 | py |
rej-summ | rej-summ-main/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.
from typing import Dict, List, NamedTuple, Optional
import torch
import torch.nn as nn
from torch import Tensor
EncoderOut = NamedTuple(
... | 2,930 | 30.516129 | 78 | py |
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