| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | multi_gpu_utils_test.py | 45 epochs = 2
62 parallel_model.fit(x, y, epochs=epochs)
65 parallel_model.fit(x, y, epochs=epochs)
75 epochs = 2
98 parallel_model.fit([a_x, b_x], [a_y, b_y], epochs=epochs)
102 parallel_model.fit([a_x, b_x], [a_y, b_y], epochs=epochs)
122 parallel_model.fit(x, y, epochs=2)
127 parallel_model.fit(x, y, epochs=2)
131 parallel_model.fit(x, y, epochs=2)
135 parallel_model.fit(x, y, epochs=2)
[all …]
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | keras_utils_test.py | 83 epochs = 2
89 epochs=epochs,
108 'on_batch_begin': epochs * num_batch_call_per_epoch,
109 'on_batch_end': epochs * num_batch_call_per_epoch,
110 'on_epoch_begin': epochs,
111 'on_epoch_end': epochs,
112 'on_test_batch_begin': epochs * validation_steps,
113 'on_test_batch_end': epochs * validation_steps,
114 'on_test_begin': epochs,
115 'on_test_end': epochs,
[all …]
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| D | keras_backward_compat_test.py | 377 model.fit(inputs, targets, epochs=1, batch_size=2, verbose=0,
412 model.fit(inputs, targets, epochs=1, batch_size=8, verbose=0)
440 model.fit(inputs, targets, sample_weight=sample_weights, epochs=1,
485 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
487 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
513 dataset, epochs=2, steps_per_epoch=2, verbose=1,
520 dataset, epochs=1, steps_per_epoch=2, verbose=1, shuffle=False)
560 model.fit(dataset_tuple, epochs=1, steps_per_epoch=2, verbose=1)
569 model.fit(dataset_dict, epochs=1, steps_per_epoch=2, verbose=1)
583 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=1)
[all …]
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| D | keras_test.py | 622 model.fit(inputs, targets, epochs=1, batch_size=2, verbose=0,
658 model.fit(inputs, targets, epochs=1, batch_size=8, verbose=0)
688 model.fit(inputs, targets, sample_weight=sample_weights, epochs=1,
796 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
798 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
823 dataset, epochs=2, steps_per_epoch=2, verbose=1,
830 dataset, epochs=1, steps_per_epoch=2, verbose=1, shuffle=False)
876 model.fit(dataset_tuple, epochs=1, steps_per_epoch=2, verbose=1)
885 model.fit(dataset_dict, epochs=1, steps_per_epoch=2, verbose=1)
902 fit_with_numpy = model.fit(inputs, targets, epochs=1,
[all …]
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_eager_test.py | 100 epochs=1,
106 epochs=1,
112 epochs=1, batch_size=2, verbose=0,
125 epochs=1,
129 epochs=1, batch_size=2, verbose=0,
133 epochs=1,
165 model.fit(inputs, targets, epochs=1, batch_size=2, verbose=0)
166 model.fit(inputs, targets, epochs=1, batch_size=3, verbose=0, shuffle=False)
167 model.fit(inputs, targets, epochs=1, batch_size=4, verbose=0,
191 model.fit(iterator, epochs=1, verbose=0)
[all …]
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| D | training_dataset_test.py | 68 model.fit(iterator, epochs=1, steps_per_epoch=2, verbose=1)
74 epochs=1, steps_per_epoch=2, verbose=0,
81 epochs=1, steps_per_epoch=2, verbose=0,
91 epochs=1,
100 epochs=1, steps_per_epoch=2, verbose=0)
104 model.fit(iterator, epochs=1, verbose=0)
130 model.fit(iterator, epochs=1, steps_per_epoch=3, verbose=0)
160 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
162 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=0,
181 model.fit(dataset, epochs=1, steps_per_epoch=2, verbose=1)
[all …]
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| D | training_generator.py | 44 epochs=1, argument
132 data, steps_per_epoch, epochs=epochs, steps_name=steps_name)
139 epochs=epochs - initial_epoch,
169 epochs=epochs,
193 for epoch in range(initial_epoch, epochs):
228 % (steps_name, steps_per_epoch * epochs))
244 'dataset.' % (steps_name, steps_per_epoch * epochs))
272 epochs=epochs,
328 if reset_dataset_after_each_epoch and epoch < epochs - 1:
434 epochs=1, argument
[all …]
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| D | training_test.py | 214 epochs=1,
219 epochs=1,
224 epochs=2,
233 epochs=2,
242 epochs=1,
249 epochs=2,
256 epochs=2,
262 epochs=2,
277 epochs=1,
288 epochs=1,
[all …]
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| D | training_arrays.py | 50 epochs=1, argument
137 inputs, steps_per_epoch, epochs=epochs, steps_name=steps_name)
187 epochs=epochs,
200 epochs=epochs,
233 for epoch in range(initial_epoch, epochs):
278 % (steps_name, steps_per_epoch * epochs))
294 'dataset.' % (steps_name, steps_per_epoch * epochs))
403 if val_iterator and epoch < epochs - 1:
412 if reset_dataset_after_each_epoch and epoch < epochs - 1:
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| D | feature_columns_integration_test.py | 67 model.fit(x, y, epochs=1, batch_size=5)
68 model.fit(x, y, epochs=1, batch_size=5)
113 dnn_model.fit(x=x, y=y, epochs=1, batch_size=5)
114 dnn_model.fit(x=x, y=y, epochs=1, batch_size=5)
167 print(model.fit(*data, epochs=1))
202 print(model.fit(*data_list, epochs=1))
213 print(model.fit(*data_bloated_list, epochs=1))
225 print(model.fit(*data_dict, epochs=1))
239 print(model.fit(*data_bloated_dict, epochs=1))
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| D | training_distributed.py | 47 epochs=1, argument
110 epochs=epochs,
123 epochs=epochs,
269 epochs=100, argument
313 dataset, steps_per_epoch, epochs, steps_name='steps_per_epoch')
361 epochs=epochs,
380 for epoch in range(initial_epoch, epochs):
402 steps_per_epoch * epochs)
518 epochs=1,
661 epochs=1,
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| D | training_generator_test.py | 81 epochs=1,
88 epochs=1,
94 epochs=1,
187 epochs=1,
193 epochs=1,
224 epochs=1,
231 epochs=1,
266 epochs=2)
321 model.fit(CustomSequence(), validation_data=val_data, epochs=2)
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| D | sequential_test.py | 77 model.fit(x, y, epochs=1)
86 model.fit(x, y, epochs=1)
119 model.fit(x, y, epochs=1)
149 model.fit(iterator, epochs=1, steps_per_epoch=steps_per_epoch)
175 model.fit(inputs, targets, epochs=10, steps_per_epoch=30)
193 epochs=1,
348 model.fit(x, y, epochs=1)
393 model.fit(x, y, epochs=1)
408 model.fit(x, y, epochs=1)
428 model.fit(x, y, batch_size=5, epochs=1)
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| D | training.py | 535 epochs=1, argument
694 epochs = kwargs.pop('nb_epoch')
712 epochs=epochs,
736 epochs=epochs,
760 epochs=epochs,
783 epochs=epochs,
846 epochs=epochs,
863 epochs=epochs,
1379 epochs=1, argument
1496 epochs=epochs,
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| /external/tensorflow/tensorflow/python/keras/wrappers/ |
| D | scikit_learn_test.py | 57 clf.fit(x_train, y_train, batch_size=BATCH_SIZE, epochs=EPOCHS)
93 reg.fit(x_train, y_train, batch_size=BATCH_SIZE, epochs=EPOCHS)
110 epochs=EPOCHS)
126 epochs=EPOCHS)
142 epochs=EPOCHS)
152 epochs=EPOCHS)
168 epochs=EPOCHS)
184 epochs=EPOCHS)
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| /external/tensorflow/tensorflow/python/keras/ |
| D | callbacks_test.py | 148 epochs=5,
248 model.fit(dataset, epochs=2, steps_per_epoch=10)
263 model.fit(dataset, epochs=2, steps_per_epoch=10)
316 epochs=1,
336 epochs=1,
357 epochs=1,
377 epochs=1,
395 epochs=1,
420 epochs=4,
470 epochs=5,
[all …]
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| D | callbacks_v1_test.py | 105 epochs=3,
115 epochs=2,
122 epochs=2,
133 epochs=2,
142 epochs=2,
150 data_generator(True), len(x_train), epochs=2, callbacks=cbks)
212 callbacks=callbacks_factory(histogram_freq=0), epochs=3)
217 callbacks=callbacks_factory(histogram_freq=1), epochs=2)
220 model.fit_generator(data_generator(True), len(x_train), epochs=2,
224 model.fit_generator(data_generator(True), len(x_train), epochs=2,
[all …]
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| D | integration_test.py | 57 history = model.fit(x_train, y_train, epochs=10, batch_size=10,
96 history = model.fit(x_train, y_train, epochs=10, batch_size=10,
131 history = model.fit(x_train, y_train, epochs=15, batch_size=10,
160 history = model.fit(x_train, y_train, epochs=15, batch_size=10,
198 history = model.fit(x_train, y_train, epochs=10, batch_size=10,
241 model.fit(x_train, y_train, epochs=2, batch_size=10,
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| D | metrics_correctness_test.py | 145 epochs=2,
190 self._custom_generator(), steps_per_epoch=2, epochs=2)
279 epochs=2,
311 self._custom_generator(), steps_per_epoch=2, epochs=2)
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | sgdr_learning_rate_decay_test.py | 33 def get_original_values(self, lr, t_e, mult_factor, iter_per_epoch, epochs): argument
43 for epoch in range(epochs):
84 epochs = 50
86 org_lr = self.get_original_values(lr, init_steps, t_mul, iters, epochs)
87 sgdr_lr = self.get_sgdr_values(lr, init_steps*iters, t_mul, iters*epochs)
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
| D | main.py | 149 epochs=config.epochs,
160 epochs=1,
172 epochs=config.epochs,
185 epochs=1,
196 epochs=1,
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| D | main_estimator.py | 109 epochs = config.epochs
115 epochs = 1
126 epochs=epochs,
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| D | cifar_input.py | 35 epochs=None, argument
100 dataset = dataset.repeat(epochs)
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| /external/tensorflow/tensorflow/python/debug/examples/ |
| D | debug_keras.py | 57 model.fit(dataset, epochs=FLAGS.epochs, steps_per_epoch=steps_per_epoch)
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | optimizer_v2_test.py | 474 epochs=1,
500 epochs=2,
520 epochs=2,
572 model_v1.fit(x, y, batch_size=5, epochs=1)
582 hist_1 = model_v1.fit(x, y, batch_size=5, epochs=1, shuffle=False)
583 hist_2 = model_v2.fit(x, y, batch_size=5, epochs=1, shuffle=False)
661 hist_k_v1 = model_k_v1.fit(x, y, batch_size=5, epochs=10, shuffle=False)
662 hist_k_v2 = model_k_v2.fit(x, y, batch_size=5, epochs=10, shuffle=False)
663 hist_tf = model_tf.fit(x, y, batch_size=5, epochs=10, shuffle=False)
697 hist_k_v1 = model_k_v1.fit(x, y, batch_size=5, epochs=10, shuffle=False)
[all …]
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