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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OFA | OFA-main/fairseq/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 math
import torch.nn as nn
import torch
from .learned_positional_embedding import LearnedPositionalEmbedding
from .sinusoidal_position... | 4,062 | 38.446602 | 84 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 1,873 | 29.225806 | 82 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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,
... | 6,898 | 32.985222 | 117 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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.
import torch
from typing import Optional
from fairseq.modules import (
LayerNorm,
MultiheadAttention,
ESPNETMultiHeadedAttention,... | 9,130 | 29.436667 | 131 | py |
OFA | OFA-main/fairseq/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 (
RotaryPositionalEmbedding... | 9,673 | 36.937255 | 84 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 2,861 | 38.205479 | 80 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 17,823 | 37.747826 | 88 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 10,154 | 33.777397 | 90 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 11,802 | 36.951768 | 132 | py |
OFA | OFA-main/fairseq/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... | 8,624 | 35.392405 | 102 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 13,470 | 34.922667 | 100 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 2,651 | 32.56962 | 102 | py |
OFA | OFA-main/fairseq/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_int8_{method}"]
return q(w, scal... | 1,928 | 34.072727 | 81 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 ... | 1,754 | 30.909091 | 107 | py |
OFA | OFA-main/fairseq/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 sys
from dataclasses import _MISSING_TYPE, dataclass, field
from typing import Any, List, Optional
import torch
from fairseq.dataclas... | 37,835 | 34.728045 | 236 | py |
OFA | OFA-main/fairseq/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... | 15,348 | 30.260692 | 88 | py |
OFA | OFA-main/fairseq/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... | 10,010 | 30.780952 | 88 | py |
OFA | OFA-main/fairseq/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)... | 8,712 | 25.891975 | 79 | py |
OFA | OFA-main/fairseq/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... | 7,467 | 40.955056 | 112 | py |
OFA | OFA-main/fairseq/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 typing import ... | 8,350 | 38.578199 | 88 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 8,135 | 33.769231 | 88 | py |
OFA | OFA-main/fairseq/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... | 8,978 | 38.03913 | 100 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 5,019 | 38.84127 | 79 | py |
OFA | OFA-main/fairseq/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... | 11,065 | 36.385135 | 104 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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, utils
from fai... | 3,927 | 36.409524 | 96 | py |
OFA | OFA-main/fairseq/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 fairseq import metrics, utils
from fairseq.criterions import FairseqCr... | 6,465 | 36.812865 | 86 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 30,535 | 39.498674 | 97 | py |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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 |
OFA | OFA-main/fairseq/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... | 28,661 | 36.862616 | 95 | py |
OFA | OFA-main/fairseq/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 utils
from fairseq.models import (
Fai... | 38,655 | 36.898039 | 165 | py |
OFA | OFA-main/fairseq/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 logging
import math
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import checkpoint_utils
... | 25,347 | 36.552593 | 98 | py |
OFA | OFA-main/fairseq/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.
from typing import Dict, List, Optional, Tuple
import torch.nn as nn
from fairseq import utils
from torch import Tensor
class FairseqDecode... | 3,751 | 34.396226 | 83 | py |
OFA | OFA-main/fairseq/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.
"""
import logging
from argparse import Namespace
from typing import Dict, List, Optional, Tuple
... | 20,439 | 34.859649 | 102 | py |
OFA | OFA-main/fairseq/fairseq/models/fairseq_incremental_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 logging
from typing import Dict, Optional
from fairseq.incremental_decoding_utils import with_incremental_state
from fairseq.models im... | 4,468 | 36.554622 | 89 | py |
OFA | OFA-main/fairseq/fairseq/models/transformer_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, field
from typing import Optional
from fairseq import options, utils
from fairseq.dataclass import Choice... | 24,384 | 43.661172 | 129 | py |
OFA | OFA-main/fairseq/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 logging
import os
import signal
import threading
import torch
import torch.nn as nn
from torch.nn.parallel import DistributedDataParal... | 5,618 | 37.22449 | 132 | py |
OFA | OFA-main/fairseq/fairseq/models/wav2vec/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.
from dataclasses import dataclass, field
import logging
import math
from typing import Optional, Tuple
from omegaconf import II
import sys
im... | 20,928 | 32.167987 | 179 | py |
OFA | OFA-main/fairseq/fairseq/models/wav2vec/wav2vec2_asr.py | # Copyright (c) Facebook, Inc. and 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 argparse import Namespace
import contextlib
import copy
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn... | 23,081 | 33.709774 | 90 | py |
OFA | OFA-main/fairseq/fairseq/models/wav2vec/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 math
import torch.nn.functional as F
def pad_to_multiple(x, multiple, dim=-1, value=0):
# Inspired from https://github.com/lucidr... | 680 | 29.954545 | 116 | py |
OFA | OFA-main/fairseq/fairseq/models/wav2vec/wav2vec2.py | # Copyright (c) Facebook, Inc. and its 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, Tuple
import numpy as np
import torch
import torch.nn as nn
imp... | 43,514 | 32.863813 | 120 | py |
OFA | OFA-main/fairseq/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 logging
from typing import Dict, List
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as ... | 7,812 | 36.382775 | 88 | py |
OFA | OFA-main/fairseq/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
"""
from typing import Op... | 15,518 | 39.309091 | 101 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/levenshtein_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.utils import new_arange
# -------------- Helper Functions --------------------------------------------------- #
... | 9,508 | 31.343537 | 89 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/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.... | 20,131 | 38.39726 | 89 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/fairseq_nat_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 math
import torch
from fairseq.models.transformer import (
TransformerDecoder,
TransformerEncoder,
TransformerModel,
)
fro... | 5,541 | 31.409357 | 112 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/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.nat import (
_apply_del_words,
_apply_ins_masks,
_ap... | 9,268 | 35.492126 | 89 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/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 fa... | 10,460 | 36.227758 | 88 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/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 fair... | 16,891 | 35.962801 | 92 | py |
OFA | OFA-main/fairseq/fairseq/models/nat/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.nat import NATransformerModel
def _s... | 8,647 | 36.764192 | 88 | py |
OFA | OFA-main/fairseq/fairseq/models/hubert/hubert.py | # Copyright (c) Facebook, Inc. and its 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 Dict, List, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
from dataclasses import ... | 19,362 | 33.33156 | 79 | py |
OFA | OFA-main/fairseq/fairseq/models/hubert/hubert_asr.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
from argparse import Namespace
from typing import Any
import torch
import torch.nn as nn
from dataclasses import dataclass,... | 12,533 | 32.246684 | 79 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/berard.py | #!/usr/bin/env python3
from ast import literal_eval
from typing import List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import checkpoint_utils, utils
from fairseq.data.data_utils import lengths_to_padding_mask
from fairseq.models import (
FairseqEncoder,
FairseqEnco... | 23,124 | 37.097199 | 88 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/xm_transformer.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 logging
import copy
from typing import Dict, List, Optional, Tuple
from fairseq import utils, checkpoint_utils
... | 20,235 | 38.992095 | 100 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/utils.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 collections.a... | 18,585 | 31.953901 | 88 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/convtransformer.py | #!/usr/bin/env python3
import logging
import math
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import checkpoint_utils, utils
from fairseq.data.data_utils import lengths_to_padding_mask
from fairseq.models import (
FairseqEncoder,
... | 16,567 | 35.899777 | 101 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/s2t_transformer.py | #!/usr/bin/env python3
import logging
import math
from typing import Dict, List, Optional, Tuple
from pathlib import Path
import torch
import torch.nn as nn
from fairseq import checkpoint_utils, utils
from fairseq.data.data_utils import lengths_to_padding_mask
from fairseq.models import (
FairseqEncoder,
Fair... | 18,876 | 36.528827 | 106 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/modules/emformer.py | #!/usr/bin/env python3
# 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 mat... | 68,259 | 36.138194 | 97 | py |
OFA | OFA-main/fairseq/fairseq/models/speech_to_text/modules/augmented_memory_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.
from typing import Tuple, List
import torch
import torch.nn.functional as F
from fairseq.models import FairseqEncoder
from fairseq.models.spe... | 16,097 | 31.920245 | 88 | py |
OFA | OFA-main/fairseq/fairseq/models/ema/ema.py | #!/usr/bin/env python3
"""
This module has the EMA class used to store a copy of the exponentially decayed
model params.
Typical usage of EMA class involves initializing an object using an existing
model (random or from a seed model) and setting the config like ema_decay,
ema_start_update which determine how the EMA ... | 8,216 | 39.880597 | 115 | py |
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