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Functions2,799 in github.com/CLUEbenchmark/CLUE

⨍ Functions 2,799◇ Types & classes 431
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/ernie/run_ner.py:305
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert_wwm_ext/run_ner.py:211
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert_wwm_ext/run_ner.py:243
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert_wwm_ext/run_ner.py:305
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/roberta_wwm_large_ext/run_ner.py:211
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/roberta_wwm_large_ext/run_ner.py:243
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/roberta_wwm_large_ext/run_ner.py:305
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert/run_ner.py:217
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert/run_ner.py:249
↓ 3 callersMethod_create_example
(self, lines, set_type)
baselines/models/bert/run_ner.py:312
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:168
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:206
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:241
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:275
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:311
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:348
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/classifier_pytorch/processors/clue.py:383
↓ 3 callersMethod_create_examples
(self, lines, set_type)
baselines/models_pytorch/classifier_pytorch/processors/clue.py:437
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models_pytorch/mrc_pytorch/run_c3.py:146
↓ 3 callersMethod_create_examples
See base class.
baselines/models/classifier_utils.py:155
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:241
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:319
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:354
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:427
↓ 3 callersMethod_create_examples
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:801
↓ 3 callersMethod_create_examples
(self, lines, set_type)
baselines/models/classifier_utils.py:887
↓ 3 callersMethod_create_examples_json
Creates examples for the training and dev sets.
baselines/models/classifier_utils.py:386
↓ 3 callersFunction_get_scaffold
Retrieves the Scaffold from `captured_scaffold_fn`.
baselines/models/xlnet/tpu_estimator.py:3055
↓ 3 callersMethod_parse_inputs
(return_values)
baselines/models/xlnet/tpu_estimator.py:3139
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/roberta/run_ner.py:165
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/roberta_wwm_ext/run_ner.py:165
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/ernie/run_ner.py:165
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/bert_wwm_ext/run_ner.py:165
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/roberta_wwm_large_ext/run_ner.py:165
↓ 3 callersMethod_read_data
Reads a BIO data.
baselines/models/bert/run_ner.py:171
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta/run_ner.py:252
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta/run_ner.py:314
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta_wwm_ext/run_ner.py:252
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta_wwm_ext/run_ner.py:314
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/ernie/run_ner.py:252
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/ernie/run_ner.py:314
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/bert_wwm_ext/run_ner.py:252
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/bert_wwm_ext/run_ner.py:314
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta_wwm_large_ext/run_ner.py:252
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/roberta_wwm_large_ext/run_ner.py:314
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/bert/run_ner.py:258
↓ 3 callersMethod_read_raw
(self, input_file)
baselines/models/bert/run_ner.py:321
↓ 3 callersFunction_sync_variables_ops
Create varriables synchronization ops. Gets the variables back from TPU nodes. This means the variables updated by TPU will now be *synced* to ho
baselines/models/xlnet/tpu_estimator.py:188
↓ 3 callersFunction_transform_features
(feature)
baselines/models/xlnet/function_builder.py:329
↓ 3 callersFunctionaccuracy
(out, labels)
baselines/models_pytorch/mrc_pytorch/run_c3.py:291
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/roberta/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/albert/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/roberta_wwm_ext/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/ernie/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/bert_wwm_ext/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/roberta_wwm_large_ext/tokenization.py:78
↓ 3 callersFunctionconvert_to_unicode
Converts `text` to Unicode (if it's not already), assuming utf-8 input.
baselines/models/bert/tokenization.py:78
↓ 3 callersMethodcreate_enqueue_op
Create the op to enqueue the recorded host_calls. Returns: A list of enqueue ops, which is empty if there are no host calls.
baselines/models/xlnet/tpu_estimator.py:1716
↓ 3 callersMethodcreate_tpu_hostcall
Sends the tensors through outfeed and runs the host_fn on CPU. The tensors are concatenated along dimension 0 to form a global tensor across
baselines/models/xlnet/tpu_estimator.py:1733
↓ 3 callersMethoddataset_initializer
Returns the dataset's initializer. The initializer must be run before calling `features_and_labels`.
baselines/models/xlnet/tpu_estimator.py:3151
↓ 3 callersFunctionenqueue_ops_fn
A fn returns enqueue_ops.
baselines/models/xlnet/tpu_estimator.py:709
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/roberta/conlleval.py:64
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/roberta_wwm_ext/conlleval.py:64
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/ernie/conlleval.py:64
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/bert_wwm_ext/conlleval.py:64
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/roberta_wwm_large_ext/conlleval.py:64
↓ 3 callersFunctionevaluate
(iterable, options=None)
baselines/models/bert/conlleval.py:64
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta/run_classifier.py:411
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None )
baselines/models/roberta/run_ner.py:445
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/albert/run_classifier.py:407
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta_wwm_ext/run_classifier.py:406
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None )
baselines/models/roberta_wwm_ext/run_ner.py:445
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/ernie/run_classifier.py:406
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None )
baselines/models/ernie/run_ner.py:445
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/bert_wwm_ext/run_classifier.py:406
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None )
baselines/models/bert_wwm_ext/run_ner.py:445
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta_wwm_large_ext/run_classifier.py:409
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None )
baselines/models/roberta_wwm_large_ext/run_ner.py:445
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/bert/run_classifier.py:407
↓ 3 callersFunctionfile_based_convert_examples_to_features
( examples, label_list, max_seq_length, tokenizer, output_file, output_dir, mode=None)
baselines/models/bert/run_ner.py:452
↓ 3 callersFunctionfile_based_convert_examples_to_features
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/xlnet/run_classifier.py:430
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta/run_classifier.py:276
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/albert/run_classifier.py:272
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta_wwm_ext/run_classifier.py:271
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/ernie/run_classifier.py:271
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/bert_wwm_ext/run_classifier.py:271
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/roberta_wwm_large_ext/run_classifier.py:274
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/bert/run_classifier.py:272
↓ 3 callersFunctionfile_based_convert_examples_to_features_for_inews
Convert a set of `InputExample`s to a TFRecord file.
baselines/models/xlnet/run_classifier.py:394
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta/run_classifier.py:441
↓ 3 callersFunctionfile_based_input_fn_builder
(input_file, seq_length, is_training, drop_remainder)
baselines/models/roberta/run_ner.py:468
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/albert/run_classifier.py:437
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_ext/run_classifier.py:436
↓ 3 callersFunctionfile_based_input_fn_builder
(input_file, seq_length, is_training, drop_remainder)
baselines/models/roberta_wwm_ext/run_ner.py:468
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/ernie/run_classifier.py:436
↓ 3 callersFunctionfile_based_input_fn_builder
(input_file, seq_length, is_training, drop_remainder)
baselines/models/ernie/run_ner.py:468
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/bert_wwm_ext/run_classifier.py:436
↓ 3 callersFunctionfile_based_input_fn_builder
(input_file, seq_length, is_training, drop_remainder)
baselines/models/bert_wwm_ext/run_ner.py:468
↓ 3 callersFunctionfile_based_input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_large_ext/run_classifier.py:439
↓ 3 callersFunctionfile_based_input_fn_builder
(input_file, seq_length, is_training, drop_remainder)
baselines/models/roberta_wwm_large_ext/run_ner.py:468
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