Searched refs:model_layers (Results 1 – 8 of 8) sorted by relevance
/external/tensorflow/tensorflow/python/keras/ |
D | testing_utils.py | 539 def __init__(self, model_layers, *args, **kwargs): argument 553 for i, layer in enumerate(model_layers): 556 self.num_layers = len(model_layers) 581 model_layers = [] 583 model_layers.append(layer) 584 self.all_layers = model_layers 593 def get_model_from_layers(model_layers, argument 622 return _SubclassModel(model_layers, name=name, input_tensor=inputs) 625 layer_generating_func = lambda: model_layers 637 for layer in model_layers: [all …]
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D | models_test.py | 59 model_layers = [keras.layers.InputLayer(input_shape=input_shape), 62 model_layers = [keras.layers.Dense(4, input_shape=input_shape)] 64 model_layers = [keras.layers.Dense(4)] 66 model_layers += [ 71 return model_layers 75 model_layers = _get_layers(input_shape=None, add_input_layer=False) 77 model_layers, input_shape=input_shape)
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D | metrics_test.py | 2113 model_layers = [ 2117 model = testing_utils.get_model_from_layers(model_layers, input_shape=(4,)) 2272 model_layers = [layers.Dense(1, kernel_initializer='ones', use_bias=False)] 2273 model = testing_utils.get_model_from_layers(model_layers, input_shape=(4,))
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | deferred_sequential_test.py | 132 model_layers = model._flatten_layers(include_self=True, recursive=False) 135 for layer1, layer2 in zip(model_layers, new_model_layers): 150 model_layers = model._flatten_layers(include_self=True, recursive=False) 153 for layer1, layer2 in zip(model_layers, new_model_layers):
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D | base_layer_test.py | 293 model_layers = [ 297 model = testing_utils.get_model_from_layers(model_layers, input_shape=(4,))
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/external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
D | revive_test.py | 227 model_layers = {layer.name: layer for layer in model.layers} 229 self.assertAllEqual(model_layers.keys(), revived_layers.keys()) 231 for name in model_layers: 232 model_layer = model_layers[name]
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/external/tensorflow/tensorflow/python/keras/tests/ |
D | add_loss_correctness_test.py | 271 model_layers = [ 286 model_layers, input_shape=(10,))
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | hdf5_format.py | 124 model_layers = model.layers 125 save_weights_to_hdf5_group(model_weights_group, model_layers)
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