| /external/tensorflow/tensorflow/python/keras/engine/ |
| __init__.py | 25 from tensorflow.python.keras.engine.input_layer import InputLayer
|
| input_layer.py | 16 """Input layer code (`Input` and `InputLayer`).
29 @keras_export('keras.layers.InputLayer')
30 class InputLayer(base_layer.Layer):
38 (which creates an `InputLayer`) without directly using `InputLayer`.
65 'InputLayer, not both at the same time.')
83 super(InputLayer, self).__init__(dtype=dtype, name=name)
118 'InputLayer, you should instantiate your model and '
227 input_layer = InputLayer(
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| sequential.py | 113 # via `add`, and omits the auto-generated `InputLayer` that comes at the
118 if layers and isinstance(layers[0], input_layer.InputLayer):
146 if isinstance(origin_layer, input_layer.InputLayer):
156 if isinstance(layer, input_layer.InputLayer):
157 # Corner case where the user passes an InputLayer layer via `add`.
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| topology_test.py | 287 self.assertEqual(len(network.layers), 2) # InputLayer + Dense
725 keras.layers.InputLayer(input_tensor=x)
[all...] |
| /external/tensorflow/tensorflow/python/keras/ |
| models.py | 29 from tensorflow.python.keras.engine.input_layer import InputLayer
145 # Don't call InputLayer multiple times.
146 if isinstance(layer, InputLayer):
207 # property will exclude the initial InputLayer (if it exists) in the model,
214 if isinstance(layer, InputLayer):
222 # If input tensors are provided, the original model's InputLayer is
223 # overwritten with a different InputLayer.
225 layer for layer in model._layers if not isinstance(layer, InputLayer)]
238 if isinstance(origin_layer, InputLayer):
243 'other than an `InputLayer`.
[all...] |
| models_test.py | 60 model_layers = [keras.layers.InputLayer(input_shape=input_shape),
115 isinstance(model._layers[0], keras.layers.InputLayer),
119 # With placeholder creation -- clone model should have an InputLayer
123 isinstance(new_model._layers[0], keras.layers.InputLayer),
130 # On top of new tensor -- clone model should always have an InputLayer.
133 self.assertIsInstance(new_model._layers[0], keras.layers.InputLayer)
137 # InputLayer.
143 self.assertIsInstance(new_model._layers[0], keras.layers.InputLayer)
|
| testing_utils.py | 421 model.add(keras.layers.InputLayer(input_shape=input_shape))
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| backend_test.py | [all...] |
| /external/tensorflow/tensorflow/python/keras/layers/ |
| serialization.py | 27 from tensorflow.python.keras.engine.input_layer import InputLayer
|
| __init__.py | 24 from tensorflow.python.keras.engine.input_layer import InputLayer
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| cudnn_recurrent_test.py | 321 layers = [keras.layers.InputLayer(input_shape),
|
| /external/tensorflow/tensorflow/python/keras/utils/ |
| tf_utils_test.py | 126 keras.layers.InputLayer([]),
|
| /external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
| __init__.py | 26 from tensorflow.python.keras.engine.input_layer import InputLayer
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| feature_column.py | 160 # Imports the core `InputLayer` symbol in contrib during development.
161 InputLayer = fc_core.InputLayer # pylint: disable=invalid-name
[all...] |
| /external/tensorflow/tensorflow/python/feature_column/ |
| feature_column_test.py | 41 from tensorflow.python.feature_column.feature_column import InputLayer
[all...] |
| feature_column.py | 305 # TODO(akshayka): InputLayer should be a subclass of Layer, and it
307 # paradigm; input_layer should create an instance of InputLayer and
309 class InputLayer(object):
[all...] |
| feature_column_v2_test.py | [all...] |
