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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sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/model_training_utils.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 17,136 | 39.03972 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/modeling.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39,139 | 36.240723 | 93 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/bert_models.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 16,982 | 38.131336 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/embedding_layer.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 4,001 | 36.401869 | 81 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/run_pretraining.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 7,510 | 35.461165 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/model_saving_utils.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 4,416 | 37.745614 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/benchmark/bert_benchmark.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 11,596 | 36.898693 | 109 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/benchmark/benchmark_utils.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 4,024 | 31.723577 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/bert/benchmark/bert_squad_benchmark.py | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 12,048 | 32.7507 | 109 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/logs/hooks_helper_test.py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 2,704 | 35.554054 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/logs/logger_test.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 14,791 | 39.195652 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/misc/model_helpers_test.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 4,911 | 37.375 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/misc/keras_utils.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 7,832 | 36.3 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/flags/_performance.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 12,433 | 41.728522 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/official/utils/data/file_io_test.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 6,358 | 30.795 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/modules/from_parlai.py | import tensorflow as tf
import re
import requests
import os
import zipfile
re_art = re.compile(r'\b(a|an|the)\b')
re_punc = re.compile(r'[!"#$%&()*+,-./:;<=>?@\[\]\\^`{|}~_\']')
def normalize_answer(s):
"""Lower text and remove punctuation, articles and extra whitespace."""
def remove_articles(text):
... | 3,290 | 28.123894 | 85 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/modules/losses.py | import tensorflow as tf
import logging
import tensorflow as tf
import tensorflow_addons as tfa
def masked_categorical_crossentropy(y_true,
y_pred,
y_mask,
from_logits=False,
... | 8,015 | 44.545455 | 126 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/modules/rnn.py | import tensorflow as tf
def single_rnn_cell(units: int,
cell_type: str = "gru",
name: str = None):
if cell_type == "gru":
# Masking is not supported for CuDNN RNNs
return tf.keras.layers.GRU(
units,
return_sequences=True,
... | 2,070 | 29.014493 | 85 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/modules/weight_norm.py | import tensorflow as tf
from tensorflow.python.keras.layers import convolutional
class WeightNormDense(tf.keras.layers.Dense):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def build(self, input_shape):
self.scale = self.add_weight(
'scale',
sh... | 2,022 | 30.123077 | 59 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/modules/trainer.py | import os
from collections import defaultdict
import random
from pprint import PrettyPrinter
import tensorflow as tf
import numpy as np
import language_evaluation
from tqdm import tqdm
import colorful
from sklearn.metrics import accuracy_score
from data import vocabulary as data_vocab
from data.wizard_of_wikipedia im... | 12,941 | 44.094077 | 114 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/base.py | from typing import Dict, Union
import tensorflow as tf
import colorlog
import numpy as np
from tensorflow.python.framework.ops import EagerTensor # pylint: disable=no-name-in-module
from tensorflow.python.framework.ops import Tensor # pylint: disable=no-name-in-module
from data.vocabulary import Vocabulary
class ... | 1,846 | 35.215686 | 127 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/sequential_knowledge_transformer.py | import os
import tensorflow as tf
#import tensorflow_addons as tfa
import colorlog
from utils.etc_utils import NEAR_INF
from utils.config_utils import add_argument
from utils.custom_argparsers import str2bool
from data import vocabulary as data_vocab
from data.holle import _MAX_NUM_MULTI
from models import BaseModel
... | 27,925 | 55.076305 | 146 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/transformer/embedding_layer.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 3,863 | 35.8 | 80 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/transformer/ffn_layer.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 3,051 | 33.681818 | 99 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/transformer/transformer.py | import tensorflow as tf
import colorlog
from models import BaseModel
from models.transformer import model_utils
from models.transformer import attention_layer
from models.transformer.attention_layer import _float32_softmax
from models.transformer import ffn_layer
from models.transformer import beam_search
from data im... | 29,932 | 43.676119 | 119 | py |
sequential-knowledge-transformer | sequential-knowledge-transformer-master/models/transformer/attention_layer.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 7,401 | 36.573604 | 104 | py |
DDRS-NAT | DDRS-NAT-master/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.
import os
import sys
from setuptools import Extension, find_packages, setup
if sys.version_info < (3, 6):
sys.ex... | 6,060 | 26.802752 | 92 | py |
DDRS-NAT | DDRS-NAT-master/generate.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 ast
import logging
import math
import os
import sy... | 13,923 | 35.260417 | 180 | py |
DDRS-NAT | DDRS-NAT-master/hubconf.py | # Copyright (c) Facebook, Inc. and its 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 importlib
from fairseq.hub_utils import ( # noqa; noqa
BPEHubInterface as bpe,
TokenizerHubInterface as toke... | 2,001 | 27.6 | 82 | py |
DDRS-NAT | DDRS-NAT-master/train.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.
"""
Train a new model on one or across multiple GPUs.
"""
import pdb
import argparse
import logging
import math
impor... | 12,073 | 32.726257 | 93 | py |
DDRS-NAT | DDRS-NAT-master/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/scripts/average_checkpoints.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import collections
import os
import re
import torch
from fairseq.file_io import PathManager
def aver... | 6,021 | 36.874214 | 175 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_train.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import unittest
from io import StringIO
from unittest.mock import MagicMock, patch
import torch
from fairseq... | 8,771 | 37.305677 | 101 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_average_checkpoints.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import collections
import os
import shutil
import tempfile
import unittest
import numpy as np
import torch
from scripts.average_checkpoints i... | 4,385 | 31.488889 | 88 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_reproducibility.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import json
import os
import tempfile
import unittest
from io import StringIO
import torch
from . import test_binaries
c... | 4,528 | 31.582734 | 88 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_sequence_scorer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import unittest
import tests.utils as test_utils
import torch
from fairseq.sequence_scorer import SequenceScorer
class Test... | 4,150 | 33.305785 | 76 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_memory_efficient_fp16.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import logging
import unittest
import torch
from fairseq.optim.adam import FairseqAdam
from fairseq.optim.fp16_optimizer impo... | 2,000 | 28.865672 | 70 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_lstm_jitable.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.lstm import L... | 4,041 | 33.844828 | 85 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.modules.multihead_attention import MultiheadAttention
class TestMultiheadAttention(unittest.TestC... | 1,905 | 29.741935 | 80 | py |
DDRS-NAT | DDRS-NAT-master/tests/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import sys
from io import StringIO
import torch
import torch.nn.functional as F
from fairseq import o... | 18,658 | 29.638752 | 86 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_binaries.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import os
import random
import sys
import tempfile
import unittest
from io import StringIO
import torch
from... | 58,976 | 36.517176 | 105 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_concat_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | 1,866 | 30.644068 | 81 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_noising.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from typing import Dict, List
import tests.utils as test_utils
import torch
from fairseq import utils
from fairseq.data impor... | 19,815 | 36.318267 | 87 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_constraints.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
import unittest
import torch
from fairseq.token_generation_constraints import *
def tensorize(constraints: List[List[int]]) -> t... | 10,488 | 37.848148 | 147 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_sparse_multihead_attention.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAtten... | 3,738 | 31.513043 | 84 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_export.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import torch
from fairseq.data.dictionary import Dictionary
from fairs... | 3,511 | 31.220183 | 86 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_backtranslation_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import tests.utils as test_utils
import torch
from fairseq.data import (
BacktranslationDataset,
LanguagePairDataset,... | 4,140 | 32.395161 | 85 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_fp16_optimizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import unittest
import torch
from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficientFP16Optimizer... | 3,124 | 30.565657 | 87 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_sequence_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import tempfile
import unittest
import tests.utils as test_utils
import torch
from fairseq import search
from fairseq.data.di... | 24,402 | 36.658951 | 88 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_label_smoothing.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import unittest
import tests.utils as test_utils
import torch
from fairseq.criterions.cross_entropy import CrossE... | 4,629 | 36.33871 | 88 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_convtbc.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
import torch.nn as nn
from fairseq.modules import ConvTBC
class TestConvTBC(unittest.TestCase):
def test_c... | 1,745 | 30.745455 | 82 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_token_block_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import tests.utils as test_utils
import torch
from fairseq.data import TokenBlockDataset
class TestTokenBlockDataset(unitte... | 3,011 | 36.65 | 87 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_multi_corpus_sampled_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from collections import OrderedDict
import numpy as np
import torch
from fairseq.data import LanguagePairDataset, TokenBlockD... | 3,105 | 31.354167 | 79 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_bmuf.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import random
import unittest
from multiprocessing import Manager
import torch
import torch.nn as nn
from fairseq import dist... | 5,350 | 29.930636 | 88 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_dictionary.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import io
import tempfile
import unittest
import torch
from fairseq.data import Dictionary
class TestDictionary(unittest.TestCase):
def... | 3,458 | 28.564103 | 80 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq import utils
class TestUtils(unittest.TestCase):
def test_convert_padding_direction(self):
... | 3,295 | 27.66087 | 78 | py |
DDRS-NAT | DDRS-NAT-master/tests/test_character_token_embedder.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from fairseq.data import Dictionary
from fairseq.modules import CharacterTokenEmbedder
class TestCharacterToke... | 1,678 | 33.265306 | 81 | py |
DDRS-NAT | DDRS-NAT-master/tests/gpu/test_binaries_gpu.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import contextlib
import logging
import os
import tempfile
import unittest
from io import StringIO
import torch
from fairseq import options
f... | 9,928 | 31.447712 | 92 | py |
DDRS-NAT | DDRS-NAT-master/tests/speech_recognition/test_data_utils.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
from examples.speech_recognition.data import data_utils
class DataUtilsTest(unittest.Tes... | 1,736 | 26.571429 | 65 | py |
DDRS-NAT | DDRS-NAT-master/tests/speech_recognition/asr_test_base.py | #!/usr/bin/env python3
import argparse
import os
import unittest
from inspect import currentframe, getframeinfo
import numpy as np
import torch
from examples.speech_recognition.data.data_utils import lengths_to_encoder_padding_mask
from fairseq.data import data_utils as fairseq_data_utils
from fairseq.data.dictionary... | 19,495 | 33.876565 | 87 | py |
DDRS-NAT | DDRS-NAT-master/tests/speech_recognition/test_collaters.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import numpy as np
import torch
from examples.speech_recognition.data.collaters import Seq2SeqCollater... | 2,048 | 33.728814 | 87 | py |
DDRS-NAT | DDRS-NAT-master/fairseq/checkpoint_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import collections
import logging
import os
import re
import traceback
from collections import OrderedDict
from typing import Union
import to... | 21,300 | 36.109756 | 114 | py |
DDRS-NAT | DDRS-NAT-master/fairseq/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import pdb
import argparse
import contextlib
import copy
import importlib
import logging
import os
import sys
import tempfile
import warnings
f... | 22,615 | 31.216524 | 111 | py |
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