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Functions427 in github.com/brightmart/albert_zh

Methodget_dev_examples
See base class.
classifier_utils.py:340
Methodget_dev_examples
See base class.
classifier_utils.py:374
Methodget_dev_examples
See base class.
classifier_utils.py:413
Methodget_dev_examples
See base class.
classifier_utils.py:787
Methodget_dev_examples
See base class.
classifier_utils.py:853
Methodget_dev_examples
See base class.
run_classifier.py:621
Methodget_dev_examples
See base class.
run_classifier.py:666
Methodget_dev_examples
See base class.
run_classifier_sp_google.py:241
Methodget_dev_examples
See base class.
run_classifier_sp_google.py:272
Methodget_dev_examples
See base class.
run_classifier_sp_google.py:317
Methodget_dev_examples
See base class.
run_classifier_sp_google.py:357
Methodget_dev_examples
See base class.
run_classifier_sp_google.py:398
Methodget_embedding_output
Gets output of the embedding lookup (i.e., input to the transformer). Returns: float Tensor of shape [batch_size, seq_length, hidden_size] c
modeling_google_fast.py:268
Methodget_embedding_output
Gets output of the embedding lookup (i.e., input to the transformer). Returns: float Tensor of shape [batch_size, seq_length, hidden_size]
modeling.py:269
Methodget_embedding_output
Gets output of the embedding lookup (i.e., input to the transformer). Returns: float Tensor of shape [batch_size, seq_length, hidden_size] c
modeling_google.py:268
Methodget_embedding_table
(self)
modeling_google_fast.py:278
Methodget_labels
Gets the list of labels for this data set.
classifier_utils.py:102
Methodget_labels
See base class.
classifier_utils.py:167
Methodget_labels
See base class.
classifier_utils.py:232
Methodget_labels
See base class.
classifier_utils.py:312
Methodget_labels
See base class.
classifier_utils.py:350
Methodget_labels
See base class.
classifier_utils.py:382
Methodget_labels
See base class.
classifier_utils.py:423
Methodget_labels
See base class.
classifier_utils.py:797
Methodget_labels
See base class.
classifier_utils.py:863
Methodget_labels
See base class.
run_classifier.py:631
Methodget_labels
See base class.
run_classifier.py:676
Methodget_labels
See base class.
run_classifier_sp_google.py:259
Methodget_labels
See base class.
run_classifier_sp_google.py:283
Methodget_labels
See base class.
run_classifier_sp_google.py:327
Methodget_labels
See base class.
run_classifier_sp_google.py:367
Methodget_labels
See base class.
run_classifier_sp_google.py:408
Methodget_pooled_output
(self)
modeling_google_fast.py:244
Methodget_sequence_output
Gets final hidden layer of encoder. Returns: float Tensor of shape [batch_size, seq_length, hidden_size] corresponding to the final hi
modeling_google_fast.py:247
Methodget_test_examples
Gets a collection of `InputExample`s for prediction.
classifier_utils.py:98
Methodget_test_examples
See base class.
classifier_utils.py:150
Methodget_test_examples
See base class.
classifier_utils.py:227
Methodget_test_examples
See base class.
classifier_utils.py:307
Methodget_test_examples
See base class.
classifier_utils.py:345
Methodget_test_examples
See base class.
classifier_utils.py:378
Methodget_test_examples
See base class.
classifier_utils.py:418
Methodget_test_examples
See base class.
classifier_utils.py:792
Methodget_test_examples
See base class.
classifier_utils.py:858
Methodget_test_examples
See base class.
run_classifier.py:626
Methodget_test_examples
See base class.
run_classifier.py:671
Methodget_test_examples
See base class.
run_classifier_sp_google.py:278
Methodget_test_examples
See base class.
run_classifier_sp_google.py:322
Methodget_test_examples
See base class.
run_classifier_sp_google.py:362
Methodget_test_examples
See base class.
run_classifier_sp_google.py:403
Functionget_timing_signal_1d_given_position
Get sinusoids of diff frequencies, with timing position given. Adapted from add_timing_signal_1d_given_position in //third_party/py/tensor2tensor/
modeling_google_fast.py:425
Functionget_timing_signal_1d_given_position
Get sinusoids of diff frequencies, with timing position given. Adapted from add_timing_signal_1d_given_position in //third_party/py/tensor2tensor/
modeling_google.py:423
Methodget_train_examples
Gets a collection of `InputExample`s for the train set.
classifier_utils.py:90
Methodget_train_examples
See base class.
classifier_utils.py:140
Methodget_train_examples
See base class.
classifier_utils.py:217
Methodget_train_examples
See base class.
classifier_utils.py:297
Methodget_train_examples
See base class.
classifier_utils.py:335
Methodget_train_examples
See base class.
classifier_utils.py:370
Methodget_train_examples
See base class.
classifier_utils.py:408
Methodget_train_examples
See base class.
classifier_utils.py:782
Methodget_train_examples
See base class.
classifier_utils.py:847
Methodget_train_examples
See base class.
run_classifier.py:615
Methodget_train_examples
See base class.
run_classifier.py:660
Methodget_train_examples
See base class.
run_classifier_sp_google.py:222
Methodget_train_examples
See base class.
run_classifier_sp_google.py:267
Methodget_train_examples
See base class.
run_classifier_sp_google.py:311
Methodget_train_examples
See base class.
run_classifier_sp_google.py:352
Methodget_train_examples
See base class.
run_classifier_sp_google.py:393
Methodget_word_embedding_output
Get output of the word(piece) embedding lookup. This is BEFORE positional embeddings and token type embeddings have been added. Returns:
modeling_google_fast.py:258
Methodget_word_embedding_output
Get output of the word(piece) embedding lookup. This is BEFORE positional embeddings and token type embeddings have been added. Returns:
modeling_google.py:258
Functioninput_fn
The actual input function.
run_pretraining_google_fast.py:389
Functioninput_fn
The actual input function.
run_pretraining.py:336
Functioninput_fn
The actual input function.
run_classifier_clue.py:463
Functioninput_fn
The actual input function.
run_pretraining_google.py:389
Functioninput_fn
The actual input function.
run_classifier.py:362
Functioninput_fn
The actual input function.
run_classifier_sp_google.py:592
Functioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier_clue.py:663
Functioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier.py:559
Functioninput_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier_sp_google.py:777
Functionmain
(_)
run_pretraining_google_fast.py:471
Functionmain
(_)
run_pretraining.py:411
Functionmain
(_)
run_classifier_clue.py:733
Functionmain
(_)
run_pretraining_google.py:471
Functionmain
(_)
create_pretraining_data.py:675
Functionmain
(_)
run_classifier.py:718
Functionmain
(_)
run_classifier_sp_google.py:847
Functionmain
(_)
create_pretraining_data_google.py:621
Functionmain
(_)
resources/create_pretraining_data_roberta.py:597
Functionmetric_fn
Computes the loss and accuracy of the model.
run_pretraining_google_fast.py:233
Functionmetric_fn
Computes the loss and accuracy of the model.
run_pretraining.py:188
Functionmetric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier_clue.py:634
Functionmetric_fn
Computes the loss and accuracy of the model.
run_pretraining_google.py:233
Functionmetric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier.py:530
Functionmetric_fn
(per_example_loss, label_ids, predictions, is_real_example)
run_classifier_sp_google.py:747
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_pretraining_google_fast.py:139
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_pretraining.py:114
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_classifier_clue.py:574
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_pretraining_google.py:139
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_classifier.py:470
Functionmodel_fn
The `model_fn` for TPUEstimator.
run_classifier_sp_google.py:687
Methodmodel_fn
(features, labels, mode, params)
similarity.py:58
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