| /external/rnnoise/src/ |
| D | rnn_train.py | 42 x_train = all_data[:nb_sequences*window_size, :-22] variable
43 x_train = np.reshape(x_train, (nb_sequences, window_size, 22)) variable
51 x_train = x_train.astype('float32') variable
|
| /external/libopus/scripts/ |
| D | rnn_train.py | 45 x_train = all_data[:nb_sequences*window_size, :-2] variable
46 x_train = np.reshape(x_train, (nb_sequences, window_size, 25)) variable
52 x_train = x_train.astype('float32') variable
|
| /external/libopus/training/ |
| D | rnn_train.py | 76 x_train = all_data[:nb_sequences*window_size, :-2] variable
77 x_train = np.reshape(x_train, (nb_sequences, window_size, 25)) variable
90 x_train = x_train.astype('float32') variable
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | lstm_v2_test.py | 1015 def _measure_performance(self, test_config, model, x_train, y_train): argument
1027 def _time_performance_run_cudnn_lstm(self, test_config, x_train, y_train): argument
1048 self, test_config, x_train, y_train): argument
1069 self, test_config, x_train, y_train): argument
|
| /external/rnnoise/training/ |
| D | rnn_train.py | 93 x_train = all_data[:nb_sequences*window_size, :42] variable
94 x_train = np.reshape(x_train, (nb_sequences, window_size, 42)) variable
|
| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | saved_model_test_base.py | 167 def _train_model(self, model, x_train, y_train, batch_size): argument
|
| D | saved_model_save_load_test.py | 104 def _train_model(self, model, x_train, y_train, batch_size): argument
|
| D | keras_correctness_test_base.py | 184 with_distribution, x_train, y_train, x_eval, argument
|