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Functions3,165 in github.com/ChineseGLUE/ChineseGLUE

⨍ Functions 3,165◇ Types & classes 518
↓ 2 callersMethodget_test_examples
(self, data_dir)
baselines/models/roberta_wwm_large_ext/run_ner.py:203
↓ 2 callersMethodget_test_examples
See base class.
baselines/models/bert/run_classifier.py:707
↓ 2 callersMethodget_test_examples
(self, data_dir)
baselines/models/bert/run_ner.py:209
↓ 2 callersMethodget_test_examples
See base class.
baselines/models/xlnet/run_classifier.py:476
↓ 2 callersFunctionget_tokens
(s)
baselines/models/xlnet/squad_utils.py:59
↓ 2 callersMethodget_train_examples
(self, data_dir)
baselines/models/roberta_wwm_ext/run_ner.py:193
↓ 2 callersMethodget_train_examples
(self, data_dir)
baselines/models/ernie/run_ner.py:193
↓ 2 callersMethodget_train_examples
(self, data_dir)
baselines/models/bert_wwm_ext/run_ner.py:193
↓ 2 callersMethodget_train_examples
(self, data_dir)
baselines/models/roberta_wwm_large_ext/run_ner.py:193
↓ 2 callersMethodget_train_examples
(self, data_dir)
baselines/models/bert/run_ner.py:199
↓ 2 callersFunctionhistogram_na_prob
(na_probs, qid_list, image_dir, name)
baselines/models/xlnet/squad_utils.py:190
↓ 2 callersMethodinit_mems
(self, data)
baselines/models_pytorch/classifier_pytorch/transformers/modeling_transfo_xl.py:657
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta/run_pretraining.py:326
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/albert/run_pretraining.py:329
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_ext/run_squad.py:687
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_ext/run_pretraining.py:324
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/ernie/run_squad.py:687
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/ernie/run_pretraining.py:324
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/bert_wwm_ext/run_squad.py:687
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/bert_wwm_ext/run_pretraining.py:324
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_large_ext/run_squad.py:687
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/roberta_wwm_large_ext/run_pretraining.py:324
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/bert/run_squad.py:687
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/bert/run_pretraining.py:324
↓ 2 callersFunctioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
baselines/models/xlnet/run_cmrc_drcd.py:917
↓ 2 callersFunctionjson2features
(input_file, output_files, tokenizer, is_training=False, repeat_limit=3, max_query_length=64,
baselines/models_pytorch/mrc_pytorch/preprocess/cmrc2018_preprocess.py:86
↓ 2 callersFunctionmetrics
(counts)
baselines/models/roberta/conlleval.py:160
↓ 2 callersFunctionmetrics
(counts)
baselines/models/roberta_wwm_ext/conlleval.py:160
↓ 2 callersFunctionmetrics
(counts)
baselines/models/ernie/conlleval.py:160
↓ 2 callersFunctionmetrics
(counts)
baselines/models/bert_wwm_ext/conlleval.py:160
↓ 2 callersFunctionmetrics
(counts)
baselines/models/roberta_wwm_large_ext/conlleval.py:160
↓ 2 callersFunctionmetrics
(counts)
baselines/models/bert/conlleval.py:160
↓ 2 callersFunctionmixed_segmentation
(in_str, rm_punc=False)
baselines/models_pytorch/mrc_pytorch/preprocess/cmrc2018_evaluate.py:20
↓ 2 callersFunctionmixed_segmentation
(in_str, rm_punc=False)
baselines/models/xlnet/cmrc2018_evaluate_drcd.py:22
↓ 2 callersFunctionparse_args
(argv)
baselines/models/roberta/conlleval.py:42
↓ 2 callersFunctionparse_args
(argv)
baselines/models/roberta_wwm_ext/conlleval.py:42
↓ 2 callersFunctionparse_args
(argv)
baselines/models/ernie/conlleval.py:42
↓ 2 callersFunctionparse_args
(argv)
baselines/models/bert_wwm_ext/conlleval.py:42
↓ 2 callersFunctionparse_args
(argv)
baselines/models/roberta_wwm_large_ext/conlleval.py:42
↓ 2 callersFunctionparse_args
(argv)
baselines/models/bert/conlleval.py:42
↓ 2 callersFunctionparse_tag
(t)
baselines/models/roberta/conlleval.py:59
↓ 2 callersFunctionparse_tag
(t)
baselines/models/roberta_wwm_ext/conlleval.py:59
↓ 2 callersFunctionparse_tag
(t)
baselines/models/ernie/conlleval.py:59
↓ 2 callersFunctionparse_tag
(t)
baselines/models/bert_wwm_ext/conlleval.py:59
↓ 2 callersFunctionparse_tag
(t)
baselines/models/roberta_wwm_large_ext/conlleval.py:59
↓ 2 callersFunctionparse_tag
(t)
baselines/models/bert/conlleval.py:59
↓ 2 callersFunctionpositionwise_ffn
Position-wise Feed-forward Network.
baselines/models/xlnet/modeling.py:52
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/roberta/tf_metrics.py:145
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/roberta_wwm_ext/tf_metrics.py:145
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/ernie/tf_metrics.py:145
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/bert_wwm_ext/tf_metrics.py:145
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/roberta_wwm_large_ext/tf_metrics.py:145
↓ 2 callersFunctionpr_re_fbeta
Uses a confusion matrix to compute precision, recall and fbeta
baselines/models/bert/tf_metrics.py:145
↓ 2 callersMethodprune_heads
(self, heads)
baselines/models_pytorch/classifier_pytorch/transformers/modeling_xlm.py:116
↓ 2 callersMethodprune_heads
(self, heads)
baselines/models_pytorch/classifier_pytorch/transformers/modeling_gpt2.py:121
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/roberta_wwm_ext/run_squad.py:227
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/ernie/run_squad.py:227
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/bert_wwm_ext/run_squad.py:227
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/roberta_wwm_large_ext/run_squad.py:227
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/bert/run_squad.py:227
↓ 2 callersFunctionread_squad_examples
Read a SQuAD json file into a list of SquadExample.
baselines/models/xlnet/run_cmrc_drcd.py:233
↓ 2 callersFunctionregistery
(name, mapping)
baselines/models_pytorch/mrc_pytorch/tools/langconv.py:227
↓ 2 callersFunctionremove_punctuation
(in_str)
baselines/models_pytorch/mrc_pytorch/preprocess/cmrc2018_evaluate.py:48
↓ 2 callersFunctionremove_punctuation
(in_str)
baselines/models/xlnet/cmrc2018_evaluate_drcd.py:50
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/roberta/modeling.py:946
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/albert/modeling.py:1032
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/roberta_wwm_ext/modeling.py:946
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/ernie/modeling.py:946
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/bert_wwm_ext/modeling.py:946
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/roberta_wwm_large_ext/modeling.py:946
↓ 2 callersFunctionreshape_from_matrix
Reshapes a rank 2 tensor back to its original rank >= 2 tensor.
baselines/models/bert/modeling.py:946
↓ 2 callersFunctionseed_everything
设置整个开发环境的seed :param seed: :param device: :return:
baselines/models_pytorch/classifier_pytorch/tools/common.py:43
↓ 2 callersMethodsend_next_batch_signal
(self, iterations)
baselines/models/xlnet/tpu_estimator.py:379
↓ 2 callersFunctionsplit_s3_path
Split a full s3 path into the bucket name and path.
baselines/models_pytorch/classifier_pytorch/transformers/file_utils.py:188
↓ 2 callersFunctionsplit_s3_path
Split a full s3 path into the bucket name and path.
baselines/models_pytorch/mrc_pytorch/tools/file_utils.py:103
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/roberta/conlleval.py:258
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/roberta_wwm_ext/conlleval.py:258
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/ernie/conlleval.py:258
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/bert_wwm_ext/conlleval.py:258
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/roberta_wwm_large_ext/conlleval.py:258
↓ 2 callersFunctionstart_of_chunk
(prev_tag, tag, prev_type, type_)
baselines/models/bert/conlleval.py:258
↓ 2 callersMethodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
baselines/models_pytorch/classifier_pytorch/transformers/optimization.py:130
↓ 2 callersMethodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
baselines/models_pytorch/mrc_pytorch/tools/pytorch_optimization.py:89
↓ 2 callersMethodstream_iterator
(self, sent_stream)
baselines/models_pytorch/classifier_pytorch/transformers/tokenization_transfo_xl.py:353
↓ 2 callersMethodto_json_string
Serializes this instance to a JSON string.
baselines/models_pytorch/classifier_pytorch/transformers/configuration_utils.py:200
↓ 2 callersMethodto_json_string
Serializes this instance to a JSON string.
baselines/models_pytorch/classifier_pytorch/processors/utils.py:49
↓ 2 callersMethodtokenize
Tokenizes a piece of text.
baselines/models_pytorch/mrc_pytorch/tools/offical_tokenization.py:145
↓ 2 callersFunctiontokenize_fn
(text)
baselines/models/xlnet/run_classifier.py:1085
↓ 2 callersFunctiontotal_parameters_transformer
(share_parameter_across_layers)
baselines/models/albert/test_changes.py:49
↓ 2 callersFunctiontransformer_model
Multi-headed, multi-layer Transformer from "Attention is All You Need". This is almost an exact implementation of the original Transformer encoder.
baselines/models/albert/modeling.py:833
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/roberta/modeling.py:629
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/albert/modeling.py:708
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/roberta_wwm_ext/modeling.py:629
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/ernie/modeling.py:629
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/bert_wwm_ext/modeling.py:629
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/roberta_wwm_large_ext/modeling.py:629
↓ 2 callersFunctiontranspose_for_scores
(input_tensor, batch_size, num_attention_heads, seq_length, width)
baselines/models/bert/modeling.py:629
↓ 2 callersFunctiontruncate_seq_pair
Truncates a pair of sequences to a maximum sequence length.
baselines/models/albert/create_pretraining_data.py:657
↓ 2 callersFunctiontwo_stream_loss
Pretraining loss with two-stream attention Transformer-XL.
baselines/models/xlnet/function_builder.py:47
↓ 2 callersMethodvalidate
Helper validate function.
baselines/models/xlnet/tpu_estimator.py:1543
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