/external/tensorflow/tensorflow/python/keras/engine/ |
D | input_spec_test.py | 28 input_spec.InputSpec(shape=[1, None, 2, 3], axes={3: 5, '2': 2}) 30 input_spec.InputSpec(shape=[1, None, 2, 3], axes={4: 5}) 32 input_spec.InputSpec(shape=[1, None, 2, 3], axes={'string': 5}) 38 spec = input_spec.InputSpec(shape=[1, None, 2, 3]) 43 spec = input_spec.InputSpec(ndim=5) 47 spec = input_spec.InputSpec(ndim=0) 51 spec = input_spec.InputSpec(ndim=3, axes={1: 3, -1: 2}) 56 spec = input_spec.InputSpec(max_ndim=5) 60 spec = input_spec.InputSpec(min_ndim=5, max_ndim=5)
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D | input_spec.py | 34 class InputSpec(object): class 284 if isinstance(input_spec, InputSpec):
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/external/tensorflow/tensorflow/python/layers/ |
D | base.py | 22 InputSpec = base.InputSpec variable
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.layers.-input-spec.pbtxt | 1 path: "tensorflow.keras.layers.InputSpec" 3 is_instance: "<class \'tensorflow.python.keras.engine.input_spec.InputSpec\'>"
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D | tensorflow.layers.-input-spec.pbtxt | 1 path: "tensorflow.layers.InputSpec" 3 is_instance: "<class \'tensorflow.python.keras.engine.input_spec.InputSpec\'>"
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.layers.-input-spec.pbtxt | 1 path: "tensorflow.keras.layers.InputSpec" 3 is_instance: "<class \'tensorflow.python.keras.engine.input_spec.InputSpec\'>"
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | pooling.py | 26 from tensorflow.python.keras.engine.input_spec import InputSpec 70 self.input_spec = InputSpec(ndim=3) 286 self.input_spec = InputSpec(ndim=4) 559 self.input_spec = InputSpec(ndim=5) 726 self.input_spec = InputSpec(ndim=3) 861 self.input_spec = InputSpec(ndim=4) 968 self.input_spec = InputSpec(ndim=5)
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D | local.py | 28 from tensorflow.python.keras.engine.input_spec import InputSpec 156 self.input_spec = InputSpec(ndim=3) 244 self.input_spec = InputSpec(ndim=3, axes={1: input_dim}) 246 self.input_spec = InputSpec(ndim=3, axes={-1: input_dim}) 458 self.input_spec = InputSpec(ndim=4) 549 self.input_spec = InputSpec(ndim=4, axes={1: input_filter}) 551 self.input_spec = InputSpec(ndim=4, axes={-1: input_filter})
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D | convolutional.py | 33 from tensorflow.python.keras.engine.input_spec import InputSpec 163 self.input_spec = InputSpec(min_ndim=self.rank + 2) 219 self.input_spec = InputSpec(min_ndim=self.rank + 2, 974 self.input_spec = InputSpec(ndim=3, axes={channel_axis: input_dim}) 1245 self.input_spec = InputSpec(ndim=4, axes={channel_axis: input_dim}) 1556 self.input_spec = InputSpec(ndim=5, axes={channel_axis: input_dim}) 1819 self.input_spec = InputSpec(ndim=self.rank + 2, 2413 self.input_spec = InputSpec(ndim=4, axes={channel_axis: input_dim}) 2516 self.input_spec = InputSpec(ndim=3) 2603 self.input_spec = InputSpec(ndim=4) [all …]
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D | core.py | 45 from tensorflow.python.keras.engine.input_spec import InputSpec 280 self.input_spec = InputSpec(ndim=3) 337 self.input_spec = InputSpec(ndim=4) 395 self.input_spec = InputSpec(ndim=5) 604 self.input_spec = InputSpec(ndim=len(self.dims) + 1) 657 self.input_spec = InputSpec(min_ndim=1) 740 self.input_spec = InputSpec(ndim=2) 1171 self.input_spec = InputSpec(min_ndim=2) 1185 self.input_spec = InputSpec(min_ndim=2, axes={-1: last_dim})
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D | convolutional_recurrent.py | 30 from tensorflow.python.keras.engine.input_spec import InputSpec 179 self.input_spec = [InputSpec(ndim=5)] 237 self.input_spec[0] = InputSpec(shape=(batch_size, None) + input_shape[2:5]) 268 self.state_spec = [InputSpec(shape=(None, dim, None, None)) 271 self.state_spec = [InputSpec(shape=(None, None, None, dim))
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D | advanced_activations.py | 27 from tensorflow.python.keras.engine.input_spec import InputSpec 164 self.input_spec = InputSpec(ndim=len(input_shape), axes=axes)
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D | wrappers.py | 28 from tensorflow.python.keras.engine.input_spec import InputSpec 187 lambda x: InputSpec(shape=[None, None] + x.as_list()[2:]), input_shape) 605 state_specs = [InputSpec(shape=K.int_shape(state)) 613 constants_spec = [InputSpec(shape=K.int_shape(constant))
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D | cudnn_recurrent.py | 28 from tensorflow.python.keras.engine.input_spec import InputSpec 72 self.input_spec = [InputSpec(ndim=3)] 77 self.state_spec = [InputSpec(shape=(None, dim)) for dim in state_size]
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D | kernelized.py | 188 self.input_spec = input_spec.InputSpec(
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D | recurrent.py | 37 from tensorflow.python.keras.engine.input_spec import InputSpec 555 return InputSpec(shape=tuple(input_spec_shape)) 604 InputSpec(shape=[None] + tensor_shape.TensorShape(dim).as_list()) 683 lambda s: InputSpec(shape=K.int_shape(s)), initial_state) 688 InputSpec(shape=K.int_shape(constant)) for constant in constants 1582 self.input_spec = [InputSpec(ndim=3)] 2118 self.input_spec = [InputSpec(ndim=3)] 2794 self.input_spec = [InputSpec(ndim=3)]
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D | serialization.py | 127 LOCAL.ALL_OBJECTS['InputSpec'] = input_spec.InputSpec
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/external/llvm-project/llvm/lib/Analysis/ |
D | TFUtils.cpp | 358 auto &InputSpec = InputSpecs[I]; in TFModelEvaluatorImpl() local 360 TF_GraphOperationByName(Graph.get(), (InputSpec.name()).c_str()), in TFModelEvaluatorImpl() 361 InputSpec.port()}; in TFModelEvaluatorImpl() 362 if (!checkReportAndInvalidate(InputFeed[I], InputSpec)) in TFModelEvaluatorImpl() 364 initInput(I, static_cast<TF_DataType>(InputSpec.typeIndex()), in TFModelEvaluatorImpl() 365 InputSpec.shape()); in TFModelEvaluatorImpl()
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/external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
D | image_preprocessing.py | 32 from tensorflow.python.keras.engine.input_spec import InputSpec 97 self.input_spec = InputSpec(ndim=4) 147 self.input_spec = InputSpec(ndim=4) 222 self.input_spec = InputSpec(ndim=4) 401 self.input_spec = InputSpec(ndim=4) 526 self.input_spec = InputSpec(ndim=4) 815 self.input_spec = InputSpec(ndim=4) 951 self.input_spec = InputSpec(ndim=4) 1090 self.input_spec = InputSpec(ndim=4) 1172 self.input_spec = InputSpec(ndim=4) [all …]
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/external/tensorflow/tensorflow/python/keras/legacy_tf_layers/ |
D | base_test.py | 280 self.input_spec = input_spec.InputSpec(ndim=2) 302 self.input_spec = input_spec.InputSpec(min_ndim=2) 325 self.input_spec = input_spec.InputSpec(max_ndim=2) 348 self.input_spec = input_spec.InputSpec(dtype='float32') 368 self.input_spec = input_spec.InputSpec(axes={-1: 2}) 390 self.input_spec = input_spec.InputSpec(shape=(None, 3))
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D | base.py | 42 InputSpec = base_layer.InputSpec # pylint: disable=invalid-name variable
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | rnn_cell.py | 79 self.input_spec = base_layer.InputSpec(ndim=2) 262 self.input_spec = base_layer.InputSpec(ndim=2)
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/external/tensorflow/tensorflow/python/keras/premade/ |
D | linear.py | 115 input_spec.InputSpec(shape=shape, name=name))
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/external/tensorflow/tensorflow/python/keras/layers/legacy_rnn/ |
D | rnn_cell_impl.py | 441 self.input_spec = input_spec.InputSpec(ndim=2) 549 self.input_spec = input_spec.InputSpec(ndim=2) 726 self.input_spec = input_spec.InputSpec(ndim=2) 932 self.input_spec = input_spec.InputSpec(ndim=2)
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/external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
D | saved_model_test.py | 71 self.input_spec = keras.layers.InputSpec(shape=[None] * len(input_shape)) 330 'a': keras.layers.InputSpec(max_ndim=3, axes={-1: 2}), 331 'b': keras.layers.InputSpec(shape=(None, 2, 3), dtype='float16')} 883 self.input_spec = keras.layers.InputSpec(shape=[None])
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