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github.com/brightmart/albert_zh
/ functions
Functions
427 in github.com/brightmart/albert_zh
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Functions
427
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Types & classes
49
Method
get_dev_examples
See base class.
classifier_utils.py:340
Method
get_dev_examples
See base class.
classifier_utils.py:374
Method
get_dev_examples
See base class.
classifier_utils.py:413
Method
get_dev_examples
See base class.
classifier_utils.py:787
Method
get_dev_examples
See base class.
classifier_utils.py:853
Method
get_dev_examples
See base class.
run_classifier.py:621
Method
get_dev_examples
See base class.
run_classifier.py:666
Method
get_dev_examples
See base class.
run_classifier_sp_google.py:241
Method
get_dev_examples
See base class.
run_classifier_sp_google.py:272
Method
get_dev_examples
See base class.
run_classifier_sp_google.py:317
Method
get_dev_examples
See base class.
run_classifier_sp_google.py:357
Method
get_dev_examples
See base class.
run_classifier_sp_google.py:398
Method
get_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
Method
get_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
Method
get_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
Method
get_embedding_table
(self)
modeling_google_fast.py:278
Method
get_labels
Gets the list of labels for this data set.
classifier_utils.py:102
Method
get_labels
See base class.
classifier_utils.py:167
Method
get_labels
See base class.
classifier_utils.py:232
Method
get_labels
See base class.
classifier_utils.py:312
Method
get_labels
See base class.
classifier_utils.py:350
Method
get_labels
See base class.
classifier_utils.py:382
Method
get_labels
See base class.
classifier_utils.py:423
Method
get_labels
See base class.
classifier_utils.py:797
Method
get_labels
See base class.
classifier_utils.py:863
Method
get_labels
See base class.
run_classifier.py:631
Method
get_labels
See base class.
run_classifier.py:676
Method
get_labels
See base class.
run_classifier_sp_google.py:259
Method
get_labels
See base class.
run_classifier_sp_google.py:283
Method
get_labels
See base class.
run_classifier_sp_google.py:327
Method
get_labels
See base class.
run_classifier_sp_google.py:367
Method
get_labels
See base class.
run_classifier_sp_google.py:408
Method
get_pooled_output
(self)
modeling_google_fast.py:244
Method
get_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
Method
get_test_examples
Gets a collection of `InputExample`s for prediction.
classifier_utils.py:98
Method
get_test_examples
See base class.
classifier_utils.py:150
Method
get_test_examples
See base class.
classifier_utils.py:227
Method
get_test_examples
See base class.
classifier_utils.py:307
Method
get_test_examples
See base class.
classifier_utils.py:345
Method
get_test_examples
See base class.
classifier_utils.py:378
Method
get_test_examples
See base class.
classifier_utils.py:418
Method
get_test_examples
See base class.
classifier_utils.py:792
Method
get_test_examples
See base class.
classifier_utils.py:858
Method
get_test_examples
See base class.
run_classifier.py:626
Method
get_test_examples
See base class.
run_classifier.py:671
Method
get_test_examples
See base class.
run_classifier_sp_google.py:278
Method
get_test_examples
See base class.
run_classifier_sp_google.py:322
Method
get_test_examples
See base class.
run_classifier_sp_google.py:362
Method
get_test_examples
See base class.
run_classifier_sp_google.py:403
Function
get_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
Function
get_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
Method
get_train_examples
Gets a collection of `InputExample`s for the train set.
classifier_utils.py:90
Method
get_train_examples
See base class.
classifier_utils.py:140
Method
get_train_examples
See base class.
classifier_utils.py:217
Method
get_train_examples
See base class.
classifier_utils.py:297
Method
get_train_examples
See base class.
classifier_utils.py:335
Method
get_train_examples
See base class.
classifier_utils.py:370
Method
get_train_examples
See base class.
classifier_utils.py:408
Method
get_train_examples
See base class.
classifier_utils.py:782
Method
get_train_examples
See base class.
classifier_utils.py:847
Method
get_train_examples
See base class.
run_classifier.py:615
Method
get_train_examples
See base class.
run_classifier.py:660
Method
get_train_examples
See base class.
run_classifier_sp_google.py:222
Method
get_train_examples
See base class.
run_classifier_sp_google.py:267
Method
get_train_examples
See base class.
run_classifier_sp_google.py:311
Method
get_train_examples
See base class.
run_classifier_sp_google.py:352
Method
get_train_examples
See base class.
run_classifier_sp_google.py:393
Method
get_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
Method
get_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
Function
input_fn
The actual input function.
run_pretraining_google_fast.py:389
Function
input_fn
The actual input function.
run_pretraining.py:336
Function
input_fn
The actual input function.
run_classifier_clue.py:463
Function
input_fn
The actual input function.
run_pretraining_google.py:389
Function
input_fn
The actual input function.
run_classifier.py:362
Function
input_fn
The actual input function.
run_classifier_sp_google.py:592
Function
input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier_clue.py:663
Function
input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier.py:559
Function
input_fn_builder
Creates an `input_fn` closure to be passed to TPUEstimator.
run_classifier_sp_google.py:777
Function
main
(_)
run_pretraining_google_fast.py:471
Function
main
(_)
run_pretraining.py:411
Function
main
(_)
run_classifier_clue.py:733
Function
main
(_)
run_pretraining_google.py:471
Function
main
(_)
create_pretraining_data.py:675
Function
main
(_)
run_classifier.py:718
Function
main
(_)
run_classifier_sp_google.py:847
Function
main
(_)
create_pretraining_data_google.py:621
Function
main
(_)
resources/create_pretraining_data_roberta.py:597
Function
metric_fn
Computes the loss and accuracy of the model.
run_pretraining_google_fast.py:233
Function
metric_fn
Computes the loss and accuracy of the model.
run_pretraining.py:188
Function
metric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier_clue.py:634
Function
metric_fn
Computes the loss and accuracy of the model.
run_pretraining_google.py:233
Function
metric_fn
(per_example_loss, label_ids, logits, is_real_example)
run_classifier.py:530
Function
metric_fn
(per_example_loss, label_ids, predictions, is_real_example)
run_classifier_sp_google.py:747
Function
model_fn
The `model_fn` for TPUEstimator.
run_pretraining_google_fast.py:139
Function
model_fn
The `model_fn` for TPUEstimator.
run_pretraining.py:114
Function
model_fn
The `model_fn` for TPUEstimator.
run_classifier_clue.py:574
Function
model_fn
The `model_fn` for TPUEstimator.
run_pretraining_google.py:139
Function
model_fn
The `model_fn` for TPUEstimator.
run_classifier.py:470
Function
model_fn
The `model_fn` for TPUEstimator.
run_classifier_sp_google.py:687
Method
model_fn
(features, labels, mode, params)
similarity.py:58
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