| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_generator_v1.py | 48 validation_data=None, argument
147 do_validation = validation_data is not None
150 steps_per_epoch, validation_data, validation_steps, mode,
303 validation_data,
369 steps_per_epoch, validation_data, validation_steps, argument
414 data_utils.is_generator_or_sequence(validation_data) or
415 isinstance(validation_data, iterator_ops.IteratorBase))
416 if (val_gen and not isinstance(validation_data, data_utils.Sequence) and
563 validation_data=None, argument
584 validation_data=validation_data,
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| D | training_generator_test.py | 127 validation_data=custom_generator(),
131 validation_data=custom_generator(),
222 validation_data=custom_generator(mode=3),
261 validation_data=invalid_generator(),
293 validation_data=val_data,
317 validation_data=custom_generator_changing_batch_size(),
323 validation_data=custom_generator_changing_batch_size(),
404 validation_data=custom_generator(),
411 validation_data=custom_generator(),
445 model.fit(CustomSequence(), validation_data=val_data, epochs=2)
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| D | training_arrays_test.py | 56 history = model.fit(x=train_dataset, validation_data=eval_dataset, epochs=2)
84 model.fit(dataset, epochs=2, validation_data=val_dataset)
107 model.fit(dataset, batch_size=10, epochs=2, validation_data=val_data)
181 validation_data=({
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| D | training_eager_test.py | 115 validation_data=([input_a, input_b], [target_a, target_b]))
132 validation_data=([input_a, input_b], [target_a, target_b]))
170 validation_data=(inputs, targets))
194 validation_data=validation_dataset)
197 validation_data=validation_dataset)
352 history = model.fit(dataset, epochs=2, validation_data=dataset).history
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| D | training_dataset_test.py | 79 validation_data=dataset,
86 validation_data=dataset,
118 validation_data=dataset,
304 validation_data=val_dataset,
318 train_dataset, epochs=2, verbose=1, validation_data=val_dataset)
434 validation_data=dataset.take(3))
531 validation_data=eval_ds,
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| D | training_utils_v1.py | 1858 def unpack_validation_data(validation_data, raise_if_ambiguous=True): argument
1874 if (isinstance(validation_data, (iterator_ops.Iterator,
1878 or not hasattr(validation_data, '__len__')):
1879 val_x = validation_data
1882 elif len(validation_data) == 2:
1884 val_x, val_y = validation_data # pylint: disable=unpacking-non-sequence
1887 val_x, val_y, val_sample_weight = validation_data, None, None
1888 elif len(validation_data) == 3:
1890 val_x, val_y, val_sample_weight = validation_data # pylint: disable=unpacking-non-sequence
1892 val_x, val_y, val_sample_weight = validation_data, None, None
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| D | training_test.py | 165 train_dataset, epochs=2, verbose=1, validation_data=val_dataset)
198 train_dataset, epochs=2, verbose=1, validation_data=val_dataset)
267 train_dataset, epochs=2, verbose=1, validation_data=val_dataset)
324 validation_data=([input_a_np, input_b_np], [output_d_np,
331 validation_data=([input_a_np, input_b_np], [output_d_np,
338 validation_data=([input_a_np, input_b_np], [output_d_np,
383 validation_data=({
962 validation_data=(x_train, y_train))
1225 validation_data=(x, y),
1245 model.fit(x, y, epochs=4, validation_data=None, validation_steps=3)
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| D | training.py | 877 validation_data=None, argument
1087 (x, y, sample_weight), validation_data = (
1091 if validation_data:
1093 data_adapter.unpack_x_y_sample_weight(validation_data))
1167 if validation_data and self._should_eval(epoch, validation_freq):
1890 validation_data=None, argument
1914 validation_data=validation_data,
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| D | training_arrays_v1.py | 610 validation_data=None, argument
634 if validation_data:
636 validation_data, batch_size, validation_steps)
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| D | training_distributed_v1.py | 591 validation_data=None, argument
633 if validation_data:
635 training_utils_v1.unpack_validation_data(validation_data))
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| D | training_v1.py | 625 validation_data=None, argument
805 validation_data=validation_data,
1232 validation_data=None, argument
1256 validation_data=validation_data,
1380 def _prepare_validation_data(self, validation_data, batch_size, argument
1384 validation_data)
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| /external/libopus/training/ |
| D | rnn_train.py | 111 epochs=10, validation_data=(x_train, y_train))
151 epochs=202, initial_epoch=201, validation_data=(x_train, y_train))
157 epochs=203, initial_epoch=202, validation_data=(x_train, y_train))
163 epochs=204, initial_epoch=203, validation_data=(x_train, y_train))
169 epochs=205, initial_epoch=204, validation_data=(x_train, y_train))
175 epochs=206, initial_epoch=205, validation_data=(x_train, y_train))
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | integration_test.py | 80 validation_data=(x_train, y_train),
119 validation_data=(x_train, y_train),
156 validation_data=(x_train, y_train),
169 validation_data=(x_train, y_train),
205 validation_data=(x_train, y_train),
236 validation_data=(x_train, y_train),
274 validation_data=(x_train, y_train),
318 validation_data=(x_train, y_train),
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| /external/tensorflow/tensorflow/python/keras/ |
| D | callbacks_v1_test.py | 109 validation_data=(x_test, y_test),
119 validation_data=(x_test, y_test),
129 validation_data=(x_test, y_test),
149 validation_data=(x_test, y_test),
221 validation_data=([x_test] * 2, [y_test] * 2),
230 validation_data=([x_test] * 2, [y_test] * 2),
304 validation_data=(x_test, y_test),
342 validation_data=generator(),
354 validation_data=generator(),
388 validation_data=(x_test, y_test),
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| D | callbacks_test.py | 167 validation_data=(val_x, val_y),
365 model.fit(training_dataset, epochs=2, validation_data=val_dataset)
411 x=training, validation_data=validation, epochs=2, steps_per_epoch=20)
438 model.fit(x=training, validation_data=validation)
494 validation_data=(x_test, y_test),
514 validation_data=(x_test, y_test),
535 validation_data=(x_test, y_test),
555 validation_data=(x_test, y_test),
573 validation_data=(x_test, y_test),
598 validation_data=(x_test, y_test),
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | parameter_server_training_test.py | 275 validation_data=None, argument
296 validation_data=validation_data)
329 validation_data=dataset_ops.DatasetV2.from_tensor_slices([1, 1]))
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| D | distribute_strategy_test.py | 495 validation_data=(inputs, targets))
545 validation_data=(inputs, targets))
907 validation_data=dataset,
914 validation_data=dataset,
945 validation_data=dataset,
1782 validation_data=val_ds,
1834 validation_data=val_ds,
2194 x, y, validation_data=(x, y), validation_steps=2, epochs=2)
2203 x, y, validation_data=(x, y), validation_steps=2, epochs=2)
2248 x, y, validation_data=(x, y), validation_steps=2, epochs=2)
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| D | keras_optimizer_v2_test.py | 132 validation_data=(inputs, targets))
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| D | keras_correctness_test_base.py | 568 validation_data=(x_train, y_train))
578 validation_data=(x_train, y_train))
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| /external/rnnoise/src/ |
| D | rnn_train.py | 65 validation_data=(x_train, y_train))
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| /external/libopus/scripts/ |
| D | rnn_train.py | 66 validation_data=(x_train, y_train))
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| /external/tensorflow/tensorflow/lite/g3doc/tutorials/ |
| D | model_maker_image_classification.ipynb | 400 "validation_data, test_data = rest_data.split(0.5)"
450 "model = image_classifier.create(train_data, validation_data=validation_data)"
745 …ifier.create(train_data, model_spec=model_spec.mobilenet_v2_spec, validation_data=validation_data)"
840 … "* `validation_data`: Validation data. If None, skips validation process. None by default.\n",
864 "model = image_classifier.create(train_data, validation_data=validation_data, epochs=10)"
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| D | model_maker_question_answer.ipynb | 134 …"validation_data = QuestionAnswerDataLoader.from_squad(validation_data_path, spec, is_training=Fal…
140 "metric = model.evaluate(validation_data)\n",
311 …"validation_data = QuestionAnswerDataLoader.from_squad(validation_data_path, spec, is_training=Fal…
378 "model.evaluate(validation_data)"
485 "model.evaluate_tflite('model.tflite', validation_data)"
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| /external/tensorflow/tensorflow/lite/micro/examples/magic_wand/train/ |
| D | train.py | 144 validation_data=valid_data,
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.models.-model.pbtxt | 217 …e\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\…
221 …or\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validati…
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