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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|---|---|---|---|---|---|---|
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/evals/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 806 | 35.681818 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/evals/bleu_transformer_test.py | # -*- coding: utf-8 -*-
#
"""
Unit tests for bleu_tool.
"""
import unittest
import tempfile
from texar.torch.evals.bleu_transformer import (
bleu_transformer_tokenize, file_bleu)
class BLEUToolTest(unittest.TestCase):
r"""Test bleu_tool.
"""
def _create_temp_file(self, text):
temp_file = t... | 2,610 | 33.813333 | 77 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/condition.py | # Copyright 2019 The Texar 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 applicable ... | 13,906 | 32.836983 | 98 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/executor_utils.py | # Copyright 2019 The Texar 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 applicable ... | 13,263 | 30.505938 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/condition_test.py | import unittest
import torch
import texar.torch as tx
from texar.torch.run import condition as cond
from texar.torch.run.executor_test import DummyClassifier, DummyData
class ConditionTest(unittest.TestCase):
def _create_dataset(self, n_examples: int):
data = torch.randint(self.vocab_size, size=(n_examp... | 2,171 | 32.415385 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/action.py | # Copyright 2019 The Texar 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 applicable ... | 2,533 | 30.283951 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/executor_test.py | import shutil
import tempfile
import unittest
from pathlib import Path
import os
from typing import List, Dict, Tuple
import torch
from torch import nn
from torch.nn import functional as F
import texar.torch as tx
from texar.torch.run import *
class DummyClassifier(nn.Module):
def __init__(self, vocab_size: int... | 6,150 | 37.685535 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/executor.py | # Copyright 2019 The Texar 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 applicable ... | 82,899 | 41.339122 | 102 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 903 | 29.133333 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/classification.py | # Copyright 2019 The Texar 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 applicable ... | 13,477 | 39.232836 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/summary_test.py | import unittest
import numpy as np
from texar.torch.run.metric.summary import *
class RegressionMetricTest(unittest.TestCase):
def setUp(self) -> None:
self.n_examples = 100
self.batch_size = 2
self.values = np.random.randn(self.n_examples)
def test_running_average(self):
qu... | 703 | 29.608696 | 77 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/regression.py | # Copyright 2019 The Texar 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 applicable ... | 4,003 | 36.074074 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/regression_test.py | import unittest
import numpy as np
from texar.torch.run.metric.regression import *
from texar.torch.utils.test import external_library_test
class RegressionMetricTest(unittest.TestCase):
def setUp(self) -> None:
self.n_examples = 100
self.batch_size = 2
self.labels = np.random.randn(self... | 1,256 | 33.916667 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/generation.py | # Copyright 2019 The Texar 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 applicable ... | 6,239 | 37.518519 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/base_metric.py | # Copyright 2019 The Texar 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 applicable ... | 7,467 | 34.903846 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 888 | 37.652174 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/generation_test.py | import unittest
from texar.torch.run.metric.generation import *
from texar.torch.evals.bleu import corpus_bleu
class GenerationMetricTest(unittest.TestCase):
def setUp(self) -> None:
self.hypotheses = [
"this is a test sentence to evaluate the good bleu score . 词",
"i believe that... | 1,087 | 37.857143 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/classification_test.py | import functools
import unittest
import numpy as np
from texar.torch.run.executor import make_deterministic
from texar.torch.run.metric.classification import *
from texar.torch.utils.test import external_library_test
@external_library_test("sklearn")
class ClassificationMetricTest(unittest.TestCase):
def setUp(... | 2,429 | 38.836066 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/run/metric/summary.py | # Copyright 2019 The Texar 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 applicable ... | 6,021 | 35.05988 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/average_recorder_test.py | """
Unit tests for average recoder.
"""
import unittest
from texar.torch.utils.average_recorder import _SingleAverageRecorder, AverageRecorder
class AverageRecorderTest(unittest.TestCase):
r"""Tests average recoder.
"""
def test_single_average_recoder(self):
r"""Tests :class:`~texar.torch.utils... | 2,298 | 32.318841 | 86 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/rnn_test.py | # -*- coding: utf-8 -*-
#
"""
Unit tests for rnn helpers.
"""
import unittest
import torch
from texar.torch.core.cell_wrappers import RNNCell, GRUCell, LSTMCell
from texar.torch.utils.rnn import (
dynamic_rnn, reverse_sequence, bidirectional_dynamic_rnn)
class ReverseSequenceTest(unittest.TestCase):
r"""Te... | 30,097 | 47.311396 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/nest.py | # Apply from Tensorflow:
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/util/nest.py
"""This module can perform operations on nested structures. A nested
structure is a Python sequence, tuple (including `namedtuple`), or
dict that can contain further sequences, tuples, and dicts.
"""
import ... | 9,158 | 36.231707 | 85 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/average_recorder.py | # Copyright 2019 The Texar 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 applicable ... | 11,951 | 35.439024 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/utils.py | # Copyright 2019 The Texar 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 applicable ... | 40,879 | 33.066667 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/shapes_test.py | """
Unit tests for shape-related utility functions.
"""
import unittest
import numpy as np
import torch
from texar.torch.utils import shapes
class ShapesTest(unittest.TestCase):
r"""Tests shape-related utility functions.
"""
def test_mask_sequences(self):
r"""Tests :func:`texar.torch.utils.sha... | 2,006 | 31.901639 | 69 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/beam_search.py | # Adapted from the Tensor2Tensor's implementation.
#
# 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 applicable law... | 27,642 | 38.265625 | 130 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/shapes.py | # Copyright 2019 The Texar 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 applicable ... | 7,828 | 33.950893 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/transformer_attentions.py | # Copyright 2019 The Texar 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 applicable ... | 3,541 | 32.102804 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 894 | 36.291667 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/rnn.py | # Copyright 2019 The Texar 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 applicable ... | 16,989 | 43.828496 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/beam_search_test.py | """
Unit tests for beam search.
"""
import unittest
import torch
import numpy as np
from texar.torch.utils import beam_search
class BeamSearchTest(unittest.TestCase):
r"""Tests beam_search.
"""
def testShapes(self):
batch_size = 2
beam_size = 3
vocab_size = 4
decode_len... | 14,252 | 35.546154 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/utils_test.py | """
Unit tests for utility functions.
"""
import unittest
import numpy as np
import torch
from texar.torch.utils import utils
class UtilsTest(unittest.TestCase):
r"""Tests utility functions.
"""
def test_sequence_mask(self):
r"""Tests :meth:`texar.torch.utils.sequence_mask`.
"""
... | 7,165 | 33.451923 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/utils/dtypes.py | # Copyright 2019 The Texar 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 applicable ... | 5,380 | 29.230337 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/embedding.py | # Copyright 2018 The Texar 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 applicable ... | 8,432 | 34.885106 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/vocabulary.py | # -*- coding: utf-8 -*-
# Copyright 2019 The Texar 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... | 11,559 | 34.900621 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/vocabulary_test.py | """
Unit tests for vocabulary related operations.
"""
import tempfile
import unittest
from texar.torch.data import vocabulary
class VocabularyTest(unittest.TestCase):
"""Tests vocabulary related operations.
"""
def test_make_defaultdict(self):
"""Tests the _make_defaultdict function.
"""... | 1,468 | 26.716981 | 73 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/embedding_test.py | # -*- coding: utf-8 -*-
# Copyright 2018 The Texar 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... | 2,802 | 31.593023 | 76 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data_utils.py | # Copyright 2019 The Texar 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 applicable ... | 10,412 | 32.808442 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 846 | 37.5 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/tokenizer_base.py | # Copyright 2019 The Texar 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 applicable ... | 21,246 | 38.128913 | 112 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/xlnet_tokenizer.py | # Copyright 2019 The Texar 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 applicable ... | 14,068 | 35.074359 | 112 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/roberta_tokenizer_test.py | """
Unit tests for pre-trained RoBERTa tokenizer.
"""
import unittest
import json
import os
import pickle
import tempfile
from texar.torch.data.tokenizers.roberta_tokenizer import \
RoBERTaTokenizer
from texar.torch.utils.test import pretrained_test
class RoBERTaTokenizerTest(unittest.TestCase):
def setUp... | 7,448 | 35.514706 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/bert_tokenizer.py | # Copyright 2019 The Texar 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 applicable ... | 14,396 | 37.087302 | 111 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/sentencepiece_tokenizer.py | # Copyright 2019 The Texar 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 applicable ... | 11,107 | 35.539474 | 87 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/gpt2_tokenizer_test.py | """
Unit tests for pre-trained GPT2 tokenizer.
"""
import unittest
import json
import os
import pickle
import tempfile
from texar.torch.data.tokenizers.gpt2_tokenizer import \
GPT2Tokenizer
from texar.torch.utils.test import pretrained_test
class GPT2TokenizerTest(unittest.TestCase):
def setUp(self):
... | 7,051 | 34.979592 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/xlnet_tokenizer_test.py | """
Unit tests for pre-trained XLNet tokenizer.
"""
import unittest
import os
import pickle
import tempfile
from texar.torch.data.data_utils import maybe_download
from texar.torch.data.tokenizers.xlnet_tokenizer import \
XLNetTokenizer, SPIECE_UNDERLINE
from texar.torch.utils.test import pretrained_test
class ... | 10,862 | 41.433594 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/bert_tokenizer_utils.py | # Copyright 2019 The Texar 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 applicable ... | 11,630 | 33.513353 | 111 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/bert_tokenizer_utils_test.py | """
Unit tests for pre-trained BERT tokenizer utils.
"""
import unittest
from texar.torch.data.tokenizers.bert_tokenizer_utils import (
BasicTokenizer, WordpieceTokenizer, _is_control,
_is_punctuation, _is_whitespace)
class BERTTokenizerUtilsTest(unittest.TestCase):
def test_chinese(self):
tok... | 2,716 | 28.215054 | 84 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/bert_tokenizer_test.py | """
Unit tests for pre-trained BERT tokenizer.
"""
import unittest
import os
import pickle
import tempfile
from texar.torch.data.tokenizers.bert_tokenizer import \
BERTTokenizer
from texar.torch.utils.test import pretrained_test
class BERTTokenizerTest(unittest.TestCase):
def setUp(self):
vocab_to... | 6,700 | 34.834225 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/sentencepiece_tokenizer_test.py | """
Unit tests for SentencePiece tokenizer.
"""
import unittest
import os
import pickle
import tempfile
from texar.torch.data.data_utils import maybe_download
from texar.torch.data.tokenizers.sentencepiece_tokenizer import \
SentencePieceTokenizer
class SentencePieceTokenizerTest(unittest.TestCase):
def s... | 5,734 | 35.528662 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/roberta_tokenizer.py | # Copyright 2019 The Texar 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 applicable ... | 7,976 | 33.682609 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 1,004 | 40.875 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/gpt2_tokenizer.py | # Copyright 2019 The Texar 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 applicable ... | 13,201 | 35.469613 | 111 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/tokenizers/gpt2_tokenizer_utils.py | # Copyright 2019 The Texar 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 applicable ... | 2,330 | 32.782609 | 111 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/multi_aligned_data.py | # Copyright 2019 The Texar 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 applicable ... | 23,256 | 40.754039 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/large_file_test.py | import contextlib
import resource
import time
import unittest
from typing import List, Optional, Tuple
import gc
import numpy as np
import torch
from texar.torch.data.data.data_base import DatasetBase, DataSource
from texar.torch.data.data.data_iterators import DataIterator
from texar.torch.data.data.dataset_utils im... | 5,487 | 36.848276 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/scalar_data_test.py | # -*- coding: utf-8 -*-
#
"""
Unit tests for data related operations.
"""
import torch
import copy
import tempfile
import numpy as np
import unittest
from texar.torch.data import DataIterator, ScalarData
from texar.torch.utils.dtypes import torch_bool
class ScalarDataTest(unittest.TestCase):
"""Tests scalar da... | 4,888 | 28.810976 | 72 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/scalar_data.py | # Copyright 2019 The Texar 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 applicable ... | 7,307 | 33.309859 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/dataset_utils.py | """
Various utilities for data module
"""
from enum import Enum
from typing import (
Any, Dict, ItemsView, KeysView, List, Optional, Tuple, Union, ValuesView)
import numpy as np
__all__ = [
'padded_batch',
'connect_name',
'Batch',
'_LazyStrategy',
'_CacheStrategy',
]
def padded_batch(exampl... | 3,675 | 27.71875 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/record_data_test.py | """
Unit tests for data related operations.
"""
import copy
import os
import shutil
import tempfile
import unittest
import numpy as np
import torch
from texar.torch.data.data.record_data import RecordData
from texar.torch.data.data.data_iterators import DataIterator
from texar.torch.data.data_utils import maybe_down... | 6,963 | 34.530612 | 75 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/mono_text_data.py | # Copyright 2019 The Texar 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 applicable ... | 17,341 | 36.782135 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/paired_text_data_test.py | # -*- coding: utf-8 -*-
#
"""
Unit tests for data related operations.
"""
import tempfile
import copy
import numpy as np
import unittest
from texar.torch.data.data.data_iterators import DataIterator
from texar.torch.data.data.paired_text_data import PairedTextData
from texar.torch.data.vocabulary import SpecialTokens... | 6,132 | 35.505952 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/data_iterators_test.py | """
Unit tests for data iterator related operations.
"""
import copy
import tempfile
import unittest
from unittest.mock import patch
from typing import List, Tuple, no_type_check
import numpy as np
import torch
from texar.torch.data.data.data_base import (
DatasetBase, DataSource, IterDataSource, SequenceDataSour... | 18,143 | 38.615721 | 84 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/data_base.py | # Copyright 2019 The Texar 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 applicable ... | 43,333 | 42.727548 | 120 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/paired_text_data.py | # Copyright 2019 The Texar 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 applicable ... | 20,701 | 39.198058 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 1,104 | 39.925926 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/text_data_base.py | # Copyright 2019 The Texar 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 applicable ... | 6,359 | 35.551724 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/data_iterators.py | # Copyright 2019 The Texar 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 applicable ... | 39,354 | 40.209424 | 99 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/multi_aligned_data_test.py | # -*- coding: utf-8 -*-
#
"""
Unit tests for data related operations.
"""
import copy
import os
import tempfile
import unittest
import numpy as np
import torch
from texar.torch.data.data.data_iterators import DataIterator
from texar.torch.data.data.multi_aligned_data import MultiAlignedData
from texar.torch.data.data... | 9,082 | 34.342412 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/mono_text_data_test.py | """
Unit tests for data related operations.
"""
import copy
import tempfile
import unittest
import numpy as np
from texar.torch.data.data.data_iterators import DataIterator
from texar.torch.data.data.mono_text_data import MonoTextData
from texar.torch.data.vocabulary import SpecialTokens
class MonoTextDataTest(unit... | 11,099 | 34.691318 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/data/data/record_data.py | # Copyright 2019 The Texar 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 applicable ... | 28,474 | 37.584011 | 89 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/custom/initializers.py | """
Custom initializers used in various methods.
"""
import math
import torch
def variance_scaling_initializer(inputs: torch.Tensor,
factor: float = 2.0, mode: str = 'FAN_IN',
uniform: bool = False):
r"""Returns an initializer that generates tens... | 3,540 | 38.344444 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/custom/distributions.py | from torch.distributions import Normal, Independent
def MultivariateNormalDiag(loc, scale_diag):
if loc.dim() < 1:
raise ValueError("loc must be at least one-dimensional.")
return Independent(Normal(loc, scale_diag), 1)
| 238 | 28.875 | 65 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/custom/activation.py | """
Custom activation functions used in various methods.
"""
import math
import torch
from torch import nn
class BertGELU(nn.Module):
r"""Bert uses GELU as the activation function for the position-wise network.
"""
def forward(self, x):
return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
c... | 603 | 21.37037 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/custom/__init__.py | """
Custom modules in Texar
"""
from texar.torch.custom.activation import *
from texar.torch.custom.initializers import *
from texar.torch.custom.distributions import *
| 170 | 20.375 | 46 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/adv_losses.py | # Copyright 2019 The Texar 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 applicable ... | 3,704 | 36.806122 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/adv_losses_test.py | """
Unit tests for adv_losses.
"""
import unittest
import torch
from texar.torch.losses.adv_losses import binary_adversarial_losses
class AdvLossesTest(unittest.TestCase):
"""Tests adversarial losses.
"""
def test_binary_adversarial_losses(self):
"""Tests :meth:`~texar.torch.losses.adv_losses.... | 1,210 | 30.868421 | 81 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/rewards.py | # Copyright 2019 The Texar 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 applicable ... | 5,564 | 34.44586 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/rewards_test.py | """
Unit tests for RL rewards.
"""
import unittest
import numpy as np
import torch
from texar.torch.losses import rewards
class RewardTest(unittest.TestCase):
"""Tests reward related functions.
"""
def test_discount_reward(self):
"""Tests :func:`texar.torch.losses.rewards.discount_reward`
... | 4,285 | 34.421488 | 78 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/entropy_test.py | """
Unit tests for entropy.
"""
import unittest
import torch
from texar.torch.losses import entropy
from texar.torch.utils.shapes import get_rank
class EntropyTest(unittest.TestCase):
"""Tests entropy.
"""
def setUp(self):
self._batch_size = 64
self._max_time = 128
self._d = 16... | 3,498 | 36.623656 | 75 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/mle_losses_test.py | """
Unit tests for mle losses.
"""
import unittest
import torch
import torch.nn.functional as F
from texar.torch.losses import mle_losses
from texar.torch.utils.shapes import get_rank
class MLELossesTest(unittest.TestCase):
"""Tests mle losses.
"""
def setUp(self):
self._batch_size = 64
... | 3,844 | 35.619048 | 77 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/losses_utils.py | # Copyright 2019 The Texar 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 applicable ... | 10,032 | 42.812227 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/pg_losses.py | # Copyright 2019 The Texar 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 applicable ... | 12,253 | 46.496124 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/mle_losses.py | # Copyright 2019 The Texar 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 applicable ... | 19,923 | 43.873874 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/__init__.py | # Copyright 2019 The Texar 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 applicable ... | 897 | 36.416667 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/entropy.py | # Copyright 2019 The Texar 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 applicable ... | 8,787 | 40.258216 | 79 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/texar/torch/losses/pg_losses_test.py | """
Unit tests for pg losses.
"""
import unittest
import torch
from texar.torch.losses.pg_losses import pg_loss_with_logits
from texar.torch.utils.shapes import get_rank
class PGLossesTest(unittest.TestCase):
"""Tests pg losses
"""
def setUp(self):
self._batch_size = 64
self._max_time ... | 4,198 | 37.172727 | 80 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/main.py | from utils import setup_seed
import torch
import torch.nn as nn
import texar.torch as tx
from utils import read_vocab, Tokenizer, resume_training, set_tb_logger, save_checkpoint
from env import load_features, TouchdownBatch
from agent import TouchdownRConcat, TouchdownVLNTransformer, TouchdownGA
from trainer import Tou... | 8,329 | 53.802632 | 154 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/utils.py | import json, re, string
import numpy as np
import os, sys, torch
import warnings
from tensorboardX import SummaryWriter
import networkx as nx
import random
import shutil
base_vocab = ['<PAD>', '<START>', '<EOS>', '<UNK>']
padding_idx = 0
def setup_seed(seed):
torch.manual_seed(seed)
torch.cuda.manual_seed... | 9,328 | 35.873518 | 117 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/agent.py | import random, torch
from torch import nn
import numpy as np
from utils import padding_idx
class BaseAgent:
def __init__(self, env):
self.env = env
random.seed(1)
def _get_tensor_and_length(self, encodings):
"""
:param encodings: a list of 1-d numpy arrays, K elements
... | 11,297 | 48.552632 | 135 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/env.py | import numpy as np
import glob, re, random
from base_navigator import BaseNavigator
from utils import load_datasets, print_progress, load_nav_graph, input_img, random_list
import networkx as nx
import torch
import torch.nn.functional as F
from pyxdameraulevenshtein import damerau_levenshtein_distance as edit_dis
_SUC... | 9,978 | 38.442688 | 132 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/trainer.py | import torch
from utils import load_datasets, AverageMeter
import time
import math
class TouchdownTrainer:
def __init__(self, opts, agent, optimizer, bert_optimizer=None):
self.opts = opts
self.agent = agent
self.optimizer = optimizer
self.bert_optimizer = bert_optimizer
se... | 4,433 | 39.309091 | 114 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/models/RConcat.py | import torch
from torch import nn
from models.rnn import CustomRNN
from utils import padding_idx
class Conv_net(nn.Module):
def __init__(self, opts):
super(Conv_net, self).__init__()
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.opts = opts
self.co... | 3,528 | 39.102273 | 93 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/models/VLNTransformer.py | from typing import Optional, Union, Tuple
import torch
from torch import nn
from torch.nn import functional as F
from texar.torch.core import layers
from texar.torch.modules.embedders.embedders import WordEmbedder
from texar.torch.modules.embedders.position_embedders import PositionEmbedder
from texar.torch.modules.e... | 14,776 | 39.374317 | 88 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/models/GA.py | import torch
from torch import nn
class Conv(nn.Module):
def __init__(self):
super(Conv, self).__init__()
self.conv = nn.Sequential(nn.Conv2d(1, 128, kernel_size=8, stride=4),
nn.ReLU(),
nn.Conv2d(128, 64, kernel_size=4, stride=2)... | 1,560 | 33.688889 | 82 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/models/rnn.py | import torch
from torch import nn
class CustomRNN(nn.Module):
"""
A module that runs multiple steps of RNN cell
With this module, you can use mask for variable-length input
"""
def __init__(self, cell_class, input_size, hidden_size, num_layers=1,
use_bias=True, batch_first=False, ... | 2,729 | 34.921053 | 74 | py |
Diagnose_VLN | Diagnose_VLN-master/touchdown/model/VLN-Transformer/touchdown/checkpoints/download_ckpt.py | """
Download RCONCAT and VLN Transformer checkpoints.
"""
import os
import texar.torch as tx
models = ['rconcat', 'vlntrans', 'ga']
experiments = ['vanilla', 'finetuned_manh50', 'finetuned_mask']
model_name = {'rconcat': 'RCONCAT', 'vlntrans': 'VLN Transformer', 'ga': 'GA'}
def check_dir(model):
if not os.path.i... | 1,196 | 31.351351 | 100 | py |
Diagnose_VLN | Diagnose_VLN-master/r2r/model/PREVALENT_R2R/r2r_src/vilmodel.py |
from __future__ import absolute_import, division, print_function, unicode_literals
import json
import logging
import math
import os
import sys
from io import open
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from modeling_utils import (WEIGHTS_NAME, CONFIG_NAME, PretrainedConfig,... | 74,130 | 50.731333 | 187 | py |
Diagnose_VLN | Diagnose_VLN-master/r2r/model/PREVALENT_R2R/r2r_src/r2rmodel.py |
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from pytorch_pretrained_bert import BertModel, OpenAIGPTModel
from vilmodel import BertImgModel,BertLayer,BertLayerNorm,BertPooler,BertAddModel... | 171,546 | 44.868182 | 223 | py |
Diagnose_VLN | Diagnose_VLN-master/r2r/model/PREVALENT_R2R/r2r_src/modeling_utils.py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import copy
import json
import logging
import os
from io import open
import six
import torch
from torch import nn
from torch.nn import CrossEntropyLoss
from torch.nn import functional as F
#from .file_utils i... | 48,476 | 53.714447 | 480 | py |
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