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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bert-nmt | bert-nmt-master/fairseq/binarizer.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 collections import Counter
im... | 3,090 | 36.695122 | 104 | py |
bert-nmt | bert-nmt-master/fairseq/distributed_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.
from collections import namedtuple... | 6,562 | 35.461111 | 97 | py |
bert-nmt | bert-nmt-master/fairseq/sequence_generator.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 math
import torch
from fa... | 29,187 | 43.493902 | 142 | py |
bert-nmt | bert-nmt-master/fairseq/legacy_distributed_data_parallel.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.
"""
A modified version of the lega... | 6,450 | 36.289017 | 88 | py |
bert-nmt | bert-nmt-master/fairseq/options.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 argparse
import torch
impo... | 24,932 | 51.161088 | 114 | py |
bert-nmt | bert-nmt-master/fairseq/bleu.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 ctypes
import math
import t... | 4,063 | 29.787879 | 83 | py |
bert-nmt | bert-nmt-master/fairseq/file_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.
"""
Utilities for working with the... | 12,275 | 34.582609 | 127 | py |
bert-nmt | bert-nmt-master/fairseq/search.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 math
import torch
class ... | 8,917 | 35.105263 | 104 | py |
bert-nmt | bert-nmt-master/fairseq/trainer.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.
"""
Train a network across multipl... | 20,283 | 39.406375 | 126 | py |
bert-nmt | bert-nmt-master/fairseq/sequence_generator_ensemble.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 math
import torch
from fa... | 29,416 | 43.503782 | 142 | py |
bert-nmt | bert-nmt-master/fairseq/modules/transformer_sentence_encoder_layer.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 torch
import torch.nn as nn... | 3,030 | 30.905263 | 80 | py |
bert-nmt | bert-nmt-master/fairseq/modules/learned_positional_embedding.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 torch.nn as nn
from fairse... | 1,894 | 35.442308 | 88 | py |
bert-nmt | bert-nmt-master/fairseq/modules/multihead_attention.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 torch
from torch import nn
... | 12,130 | 39.302326 | 114 | py |
bert-nmt | bert-nmt-master/fairseq/modules/highway.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 torch
from torch import nn... | 1,853 | 32.709091 | 97 | py |
bert-nmt | bert-nmt-master/fairseq/modules/linearized_convolution.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 torch
import torch.nn.funct... | 3,686 | 39.966667 | 95 | py |
bert-nmt | bert-nmt-master/fairseq/modules/downsampled_multihead_attention.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 math
import torch
import... | 9,923 | 37.316602 | 106 | py |
bert-nmt | bert-nmt-master/fairseq/modules/gelu.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.
"""
See "Gaussian Error Linear Unit... | 777 | 30.12 | 90 | py |
bert-nmt | bert-nmt-master/fairseq/modules/positional_embedding.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 torch.nn as nn
from .learn... | 1,395 | 37.777778 | 83 | py |
bert-nmt | bert-nmt-master/fairseq/modules/adaptive_input.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 torch
from torch import nn... | 2,391 | 30.893333 | 80 | py |
bert-nmt | bert-nmt-master/fairseq/modules/character_token_embedder.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 torch
import torch.nn.funct... | 5,406 | 32.583851 | 106 | py |
bert-nmt | bert-nmt-master/fairseq/modules/unfold.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 torch.nn.functional as F
... | 678 | 32.95 | 91 | py |
bert-nmt | bert-nmt-master/fairseq/modules/adaptive_softmax.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 operator
import functools
... | 7,315 | 34.004785 | 112 | py |
bert-nmt | bert-nmt-master/fairseq/modules/conv_tbc.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 torch
from torch.nn.modules... | 1,464 | 36.564103 | 90 | py |
bert-nmt | bert-nmt-master/fairseq/modules/mean_pool_gating_network.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 torch
import torch.nn.funct... | 2,159 | 39 | 84 | py |
bert-nmt | bert-nmt-master/fairseq/modules/logsumexp_moe.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 torch
class LogSumExpMoE(... | 943 | 31.551724 | 78 | py |
bert-nmt | bert-nmt-master/fairseq/modules/beamable_mm.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 torch
import torch.nn as nn... | 1,887 | 36.76 | 80 | py |
bert-nmt | bert-nmt-master/fairseq/modules/layer_norm.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 torch
def LayerNorm(norma... | 698 | 35.789474 | 81 | py |
bert-nmt | bert-nmt-master/fairseq/modules/scalar_bias.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 torch
class ScalarBias(... | 996 | 28.323529 | 78 | py |
bert-nmt | bert-nmt-master/fairseq/modules/transformer_sentence_encoder.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 Tuple, Optional... | 7,317 | 33.037209 | 84 | py |
bert-nmt | bert-nmt-master/fairseq/modules/grad_multiply.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 torch
class GradMultiply(... | 550 | 25.238095 | 78 | py |
bert-nmt | bert-nmt-master/fairseq/modules/sinusoidal_positional_embedding.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 math
import torch
import t... | 3,627 | 40.227273 | 105 | py |
bert-nmt | bert-nmt-master/fairseq/modules/lightweight_convolution.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 torch
import torch.nn as nn... | 9,506 | 38.6125 | 103 | py |
bert-nmt | bert-nmt-master/fairseq/modules/dynamic_convolution.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 torch
import torch.nn as nn... | 10,037 | 43.026316 | 132 | py |
bert-nmt | bert-nmt-master/fairseq/criterions/fairseq_criterion.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 torch.nn.modules.loss import ... | 1,394 | 29.326087 | 78 | py |
bert-nmt | bert-nmt-master/fairseq/criterions/adaptive_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 math
import torch.nn.funct... | 3,631 | 37.231579 | 105 | py |
bert-nmt | bert-nmt-master/fairseq/criterions/cross_entropy.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 math
import torch.nn.functi... | 2,616 | 36.927536 | 95 | py |
bert-nmt | bert-nmt-master/fairseq/criterions/masked_lm_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 math
import torch
import t... | 6,356 | 41.38 | 81 | py |
bert-nmt | bert-nmt-master/fairseq/criterions/composite_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 torch import nn
from fairseq... | 3,494 | 36.180851 | 96 | py |
bert-nmt | bert-nmt-master/fairseq/models/lstm.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 torch
import torch.nn as nn... | 24,290 | 43.005435 | 103 | py |
bert-nmt | bert-nmt-master/fairseq/models/masked_lm.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 torch
import torch.nn as nn... | 15,443 | 42.382022 | 100 | py |
bert-nmt | bert-nmt-master/fairseq/models/fairseq_encoder.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 torch.nn as nn
class Fair... | 1,504 | 30.354167 | 78 | py |
bert-nmt | bert-nmt-master/fairseq/models/fconv.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 math
import torch
import to... | 27,135 | 40.492355 | 114 | py |
bert-nmt | bert-nmt-master/fairseq/models/lightconv.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 math
import torch
import t... | 34,360 | 44.152431 | 125 | py |
bert-nmt | bert-nmt-master/fairseq/models/transformer.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 math
import torch
import t... | 98,189 | 45.055347 | 140 | py |
bert-nmt | bert-nmt-master/fairseq/models/fconv_self_att.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 math
import torch
import t... | 23,106 | 40.48474 | 111 | py |
bert-nmt | bert-nmt-master/fairseq/models/fairseq_decoder.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 torch.nn as nn
from fairse... | 2,951 | 34.142857 | 95 | py |
bert-nmt | bert-nmt-master/fairseq/models/fairseq_model.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.
"""
Base classes for various fairse... | 17,271 | 35.985011 | 140 | py |
bert-nmt | bert-nmt-master/fairseq/models/distributed_fairseq_model.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 inspect
from torch.nn impo... | 2,546 | 35.913043 | 82 | py |
bert-nmt | bert-nmt-master/fairseq/optim/nag.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 torch
from torch.optim.opti... | 3,326 | 32.606061 | 96 | py |
bert-nmt | bert-nmt-master/fairseq/optim/sgd.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 torch.optim
from . import ... | 1,475 | 34.142857 | 92 | py |
bert-nmt | bert-nmt-master/fairseq/optim/fp16_optimizer.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 torch
from fairseq import ... | 13,279 | 36.514124 | 97 | py |
bert-nmt | bert-nmt-master/fairseq/optim/adam.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 math
import types
import t... | 13,323 | 41.56869 | 139 | py |
bert-nmt | bert-nmt-master/fairseq/optim/adafactor.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 math
import torch
import to... | 9,602 | 43.665116 | 110 | py |
bert-nmt | bert-nmt-master/fairseq/optim/adagrad.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 torch.optim
from . import ... | 1,311 | 32.641026 | 92 | py |
bert-nmt | bert-nmt-master/fairseq/optim/fairseq_optimizer.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 math
import torch
class ... | 3,610 | 33.390476 | 99 | py |
bert-nmt | bert-nmt-master/fairseq/optim/adadelta.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 torch.optim
from . import ... | 1,868 | 39.630435 | 105 | py |
bert-nmt | bert-nmt-master/fairseq/optim/lamb.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.
"""
LAMB optimizer from github.com/... | 5,862 | 38.884354 | 109 | py |
bert-nmt | bert-nmt-master/fairseq/optim/lr_scheduler/inverse_square_root_schedule.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 . import FairseqLRScheduler, ... | 3,026 | 38.828947 | 97 | py |
bert-nmt | bert-nmt-master/fairseq/optim/lr_scheduler/reduce_lr_on_plateau.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 torch.optim.lr_scheduler
f... | 2,337 | 38.627119 | 90 | py |
bert-nmt | bert-nmt-master/fairseq/optim/lr_scheduler/cosine_lr_scheduler.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 math
from . import Fairseq... | 4,867 | 39.231405 | 105 | py |
bert-nmt | bert-nmt-master/fairseq/data/language_pair_dataset.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 numpy as np
import torch
f... | 9,840 | 41.786957 | 117 | py |
bert-nmt | bert-nmt-master/fairseq/data/token_block_dataset.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 math
import numpy as np
im... | 6,411 | 39.582278 | 101 | py |
bert-nmt | bert-nmt-master/fairseq/data/block_pair_dataset.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 math
import numpy as np
im... | 12,975 | 40.193651 | 99 | py |
bert-nmt | bert-nmt-master/fairseq/data/dictionary.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 collections import Counter
fr... | 10,544 | 33.460784 | 109 | py |
bert-nmt | bert-nmt-master/fairseq/data/masked_lm_dataset.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 math
import numpy as np
im... | 12,558 | 37.643077 | 83 | py |
bert-nmt | bert-nmt-master/fairseq/data/lm_context_window_dataset.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 numpy as np
import torch
f... | 3,018 | 36.271605 | 90 | py |
bert-nmt | bert-nmt-master/fairseq/data/iterators.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 itertools
import math
impo... | 8,973 | 32.864151 | 91 | py |
bert-nmt | bert-nmt-master/fairseq/data/backtranslation_dataset.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 torch
from fairseq import ... | 6,343 | 36.761905 | 93 | py |
bert-nmt | bert-nmt-master/fairseq/data/monolingual_dataset.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 numpy as np
import torch
f... | 7,577 | 36.330049 | 117 | py |
bert-nmt | bert-nmt-master/fairseq/data/indexed_dataset.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 os
import shutil
import str... | 14,793 | 29.756757 | 115 | py |
bert-nmt | bert-nmt-master/fairseq/data/noising.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 torch
import numpy as np
f... | 12,285 | 37.63522 | 110 | py |
bert-nmt | bert-nmt-master/fairseq/data/fairseq_dataset.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 torch.utils.data
class Fa... | 1,652 | 29.611111 | 80 | py |
bert-nmt | bert-nmt-master/fairseq/data/transform_eos_dataset.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 torch
from . import Fairse... | 4,408 | 35.741667 | 88 | py |
bert-nmt | bert-nmt-master/fairseq/tasks/language_modeling.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 itertools
import os
import... | 9,622 | 38.438525 | 117 | py |
bert-nmt | bert-nmt-master/fairseq/tasks/multilingual_translation.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 collections import OrderedDic... | 15,605 | 43.209632 | 113 | py |
bert-nmt | bert-nmt-master/fairseq/tasks/translation_moe.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 contextlib
import torch
... | 9,130 | 40.316742 | 110 | py |
bert-nmt | bert-nmt-master/fairseq/tasks/fairseq_task.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 torch
from fairseq import ... | 10,256 | 36.434307 | 104 | py |
bert-nmt | bert-nmt-master/bert/tokenization.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# 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/LICEN... | 17,894 | 39.763098 | 135 | py |
bert-nmt | bert-nmt-master/bert/modeling.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 co... | 60,510 | 48.235964 | 171 | py |
bert-nmt | bert-nmt-master/bert/file_utils.py | """
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP authors.
"""
from __future__ import (absolute_import, division, print_function, unicode_literals)
import sys
import json
import logging
import os
impor... | 9,347 | 32.385714 | 98 | py |
grad-cam-text | grad-cam-text-master/dataset-ko.py | import gensim.models as word2vec
from konlpy.tag import Mecab
import jamotools
import tensorflow as tf
import numpy as np
from dataset import Word2vecEmbedder, Dataset
class Word2vecKoMorphEmbedder(Word2vecEmbedder):
def __init__(self):
model = word2vec.Word2Vec.load('./word2vec/word2vec_news_morph_300.mod... | 3,012 | 34.034884 | 130 | py |
grad-cam-text | grad-cam-text-master/dataset.py | import gensim.models as word2vec
import tensorflow as tf
import numpy as np
class Word2vecEmbedder():
def __init__(self, model, max_vocab_size, embedding_dim):
self.w2v = model
self.max_vocab_size = max_vocab_size
self.embedding_dim = embedding_dim
self._build()
def _build(self... | 4,973 | 41.152542 | 160 | py |
GNS-Modeling | GNS-Modeling-master/gns/viz/gmm.py | import sys
if 'matplotlib' not in sys.modules:
import matplotlib as mpl
mpl.use('Agg')
from matplotlib import transforms
from matplotlib.patches import Ellipse
from matplotlib.colors import Normalize
import matplotlib.pyplot as plt
import numpy as np
import torch
from .general import get_color
from ..mixnet.lo... | 4,810 | 31.727891 | 100 | py |
GNS-Modeling | GNS-Modeling-master/gns/viz/strokes.py | import numpy as np
import torch
from pybpl.util.stroke import dist_along_traj
from ..utils import torch_to_numpy, traj_from_spline
from .general import get_color
def space_motor_to_img(x):
x = torch_to_numpy(x)
x = np.copy(x)
x[:,1] = -x[:,1]
return x
def add_arrow(line, size=15, **kwargs):
col... | 2,153 | 31.149254 | 74 | py |
GNS-Modeling | GNS-Modeling-master/gns/token/model.py | import torch
import torch.nn as nn
import torch.distributions as dist
from pybpl.util import apply_warp
class TokenModel(nn.Module):
def __init__(self, shape_noise=True, loc_noise=True, affine_noise=True):
super().__init__()
# control points noise
self.register_buffer('mu_shape', torch.te... | 5,148 | 32.219355 | 86 | py |
GNS-Modeling | GNS-Modeling-master/gns/mixnet/losses.py | import math
import torch
import torch.nn as nn
import torch.utils.data
from torch.distributions import Normal, Independent, MultivariateNormal
from ..utils.nn import apply_mask
def mvn_full(x, means, covs):
x = x.unsqueeze(-2) # (...,1,d)
mvn_logprobs = MultivariateNormal(means, covs).log_prob(x) # (...,k)
... | 2,913 | 27.851485 | 87 | py |
GNS-Modeling | GNS-Modeling-master/gns/mixnet/sampling.py | import math
import torch
from torch.distributions import Normal, Independent, MultivariateNormal
from torch.distributions import Categorical
def sample_xy_diag(mix_probs, means, scales):
# get MVN means and scales
mixtures = Categorical(mix_probs).sample() # (n,)
means_sel = torch.stack([elt[i] for elt, i... | 1,856 | 28.015625 | 82 | py |
GNS-Modeling | GNS-Modeling-master/gns/omniglot/minimal_splines.py | import torch
from pybpl.splines import fit_bspline_to_traj
def fit_minimal_spline(stroke, thresh, max_nland=100, normalize=True):
assert isinstance(stroke, torch.Tensor)
ntraj = stroke.size(0)
# determine num control points
for nland in range(1, min(ntraj+1, max_nland)):
spline, residuals = f... | 546 | 29.388889 | 82 | py |
GNS-Modeling | GNS-Modeling-master/gns/type/location_model.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..utils.mvn import tikhonov, compute_cov2d, gauss_norm_to_orig
from ..mixnet.losses import gmm_losses
from ..mixnet.sampling import sample_xy_full, adjust_gmm
def conv_block(in_channels, out_channels, dropout=0.):
block = nn.Sequential(
... | 5,513 | 30.508571 | 88 | py |
GNS-Modeling | GNS-Modeling-master/gns/type/model.py | import os
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.rnn as rnn
from pybpl.splines import get_stk_from_bspline
from .. import MODEL_SAVE_PATH
from ..rendering import Renderer
from .terminate_model import CNNTerminate
from .location_model import CNNStart
from .s... | 8,892 | 38.176211 | 99 | py |
GNS-Modeling | GNS-Modeling-master/gns/type/stroke_model.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Bernoulli
from ..utils.mvn import tikhonov, compute_cov2d, gauss_norm_to_orig
from ..mixnet.losses import gmm_losses_seq, end_losses_seq
from ..mixnet.sampling import sample_xy_full, adjust_gmm, adjust_bernoulli
class... | 14,780 | 31.202614 | 84 | py |
GNS-Modeling | GNS-Modeling-master/gns/type/terminate_model.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Bernoulli
from ..mixnet.sampling import adjust_bernoulli
class ConvBlock(nn.Module):
def __init__(self, in_channels, out_channels, dropout=0.):
super().__init__()
self.conv = nn.Conv2d(in_channels,... | 3,837 | 29.220472 | 88 | py |
GNS-Modeling | GNS-Modeling-master/gns/rendering/renderer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from pybpl.parameters import Parameters
from pybpl.util.general import fspecial
def drawings_to_cpu(drawings):
if isinstance(drawings[0], list):
if drawings[0][0].is_cuda:
drawings = [[stk.cpu() for stk in drawing] for drawing... | 9,661 | 30.575163 | 85 | py |
GNS-Modeling | GNS-Modeling-master/gns/utils/mvn.py | import numpy as np
import torch
def set_triu(R, corrs):
d = R.size(-1)
x_ix, y_ix = np.triu_indices(d, 1)
ix = np.stack([x_ix, y_ix])
ix = torch.from_numpy(ix)
R[...,ix[0],ix[1]] = corrs # (n,d,d)
def set_tril(R, corrs):
d = R.size(-1)
x_ix, y_ix = np.tril_indices(d, -1)
ix = np.stack... | 1,676 | 21.662162 | 66 | py |
GNS-Modeling | GNS-Modeling-master/gns/utils/nn.py | import torch
import torch.nn as nn
def load_submodule(f, submod_name, cpu=False):
if cpu:
mod_state_dict = torch.load(f, map_location='cpu')
else:
mod_state_dict = torch.load(f)
submod_state_dict = {}
for mod_key,val in mod_state_dict.items():
if mod_key.startswith(submod_name)... | 3,092 | 29.323529 | 81 | py |
GNS-Modeling | GNS-Modeling-master/gns/utils/hausdorff.py | """
Taken from Omniglot repo:
https://github.com/brendenlake/omniglot/blob/9afc3137708d2c6e7b780ce3ed545492fcc873e3/python/one-shot-classification/demo_classification.py
"""
from tqdm import tqdm
import numpy as np
import torch
import torch.nn.functional as F
from scipy.spatial.distance import cdist
from . import para... | 3,307 | 25.894309 | 139 | py |
GNS-Modeling | GNS-Modeling-master/gns/utils/general.py | import sys
import multiprocessing as mp
import numpy as np
if 'matplotlib' not in sys.modules:
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import torch
from pybpl.splines import get_stk_from_bspline
from pybpl.rendering import render_image
from pybpl.parameters import Parameters
de... | 2,737 | 23.446429 | 82 | py |
GNS-Modeling | GNS-Modeling-master/gns/inference/parsing/top_k.py | import warnings
import math
import itertools
import numpy as np
import torch
from pybpl.data import unif_space
from pybpl.matlab.bottomup import generate_random_parses
from ...omniglot.minimal_splines import fit_minimal_spline
from .util import sample_from_generator
def process_parse(parse, device=None):
parse_... | 3,189 | 35.666667 | 89 | py |
GNS-Modeling | GNS-Modeling-master/gns/inference/viz/opt_progress_token.py | import sys
if 'matplotlib' not in sys.modules:
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import torch
from pybpl.util.stroke import dist_along_traj
from pybpl.util.affine import apply_warp
from pybpl.splines import get_stk_from_bspline
from ...viz import get_color, plot_image, plo... | 2,796 | 35.324675 | 85 | py |
GNS-Modeling | GNS-Modeling-master/gns/inference/viz/util.py | import numpy as np
import torch
def get_loss_limits(losses, pct=90):
if torch.is_tensor(losses):
losses = losses.numpy()
losses = losses.flatten()
vmax = np.percentile(losses, pct)
vmin = np.min(losses)
vmean = (vmax+vmin)/2
vmin = vmean - 1.5*(vmax-vmin)/2
vmax = vmean + 1.5*(vma... | 507 | 24.4 | 53 | py |
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