Searched refs:learning_phase (Results 1 – 21 of 21) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
| D | image_preprocessing.py | 210 training = K.learning_phase()
359 training = K.learning_phase()
465 training = K.learning_phase()
694 training = K.learning_phase()
808 training = K.learning_phase()
940 training = K.learning_phase()
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| /external/tensorflow/tensorflow/python/keras/ |
| D | backend_test.py | 172 initial_learning_phase = keras.backend.learning_phase()
174 self.assertEqual(keras.backend.learning_phase(), 1)
175 self.assertEqual(keras.backend.learning_phase(), initial_learning_phase)
177 self.assertEqual(keras.backend.learning_phase(), 0)
178 self.assertEqual(keras.backend.learning_phase(), initial_learning_phase)
182 self.assertEqual(keras.backend.learning_phase(), initial_learning_phase)
186 self.assertEqual(keras.backend.learning_phase(), new_learning_phase)
188 self.assertEqual(keras.backend.learning_phase(), 1)
189 self.assertEqual(keras.backend.learning_phase(), new_learning_phase)
192 initial_learning_phase_outside_graph = keras.backend.learning_phase()
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| D | callbacks_v1.py | 443 if not isinstance(K.learning_phase(), int):
444 feed_dict[K.learning_phase()] = False
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| D | backend.py | 304 def learning_phase(): function
318 learning_phase = symbolic_learning_phase()
319 _mark_func_graph_as_unsaveable(graph, learning_phase)
320 return learning_phase
334 learning_phase = symbolic_learning_phase()
335 _mark_func_graph_as_unsaveable(graph, learning_phase)
336 return learning_phase
343 def _mark_func_graph_as_unsaveable(graph, learning_phase): argument
354 if graph.building_function and is_placeholder(learning_phase):
460 previous_value = learning_phase()
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_distributed.py | 178 strategy=current_strategy, learning_phase=1)
320 strategy=current_strategy, learning_phase=0)
472 strategy=current_strategy, learning_phase=0)
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| D | training_arrays.py | 150 learning_phase=(1 if mode == ModeKeys.TRAIN else 0))
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| D | base_layer.py | 719 training_value = backend.learning_phase()
724 training_value = backend.learning_phase()
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| D | training.py | 2456 training = K.learning_phase()
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| D | base_layer_test.py | 401 training = keras.backend.learning_phase()
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| D | training_v1.py | 2612 training = K.learning_phase()
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| D | training_test.py | 3788 training = keras.backend.learning_phase()
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| /external/tensorflow/tensorflow/python/keras/premade/ |
| D | wide_deep.py | 100 training = K.learning_phase()
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| /external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
| D | utils.py | 158 training = default_training_value or K.learning_phase()
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| D | saved_model_test.py | 73 training = keras.backend.learning_phase()
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | dense_attention.py | 124 training = K.learning_phase()
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| D | core.py | 172 training = K.learning_phase()
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| D | normalization.py | 672 training = K.learning_phase()
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | distributed_training_utils.py | 1102 def distributed_scope(strategy, learning_phase): argument
1103 with strategy.scope(), K.learning_phase_scope(learning_phase):
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | saved_model_experimental_test.py | 224 training = keras.backend.learning_phase()
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.backend.pbtxt | 256 name: "learning_phase"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.backend.pbtxt | 264 name: "learning_phase"
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