| /external/tensorflow/tensorflow/python/keras/engine/ |
| __init__.py | 24 from tensorflow.python.keras.engine.input_layer import Input
25 from tensorflow.python.keras.engine.input_layer import InputLayer
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| sequential.py | 26 from tensorflow.python.keras.engine import input_layer
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):
164 x = input_layer.Input(
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| input_layer.py | 227 input_layer = InputLayer(
236 outputs = input_layer._inbound_nodes[0].output_tensors
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| /external/tensorflow/tensorflow/lite/testing/ |
| generate_testspec.cc | 43 const std::vector<string>& input_layer,
47 input_values.resize(input_layer.size());
48 for (int i = 0; i < input_layer.size(); i++) {
82 const std::vector<string>& input_layer,
86 CHECK_EQ(input_layer.size(), input_layer_type.size());
87 CHECK_EQ(input_layer.size(), input_layer_shape.size());
90 TfDriver runner(input_layer, input_layer_type, input_layer_shape,
116 GenerateInputValues(input_layer, input_layer_type, input_layer_shape);
120 "input_layer, input_layer_type, and input_layer_shape."
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| tflite_diff_flags.h | 31 string input_layer; member in struct:tflite::testing::__anon46237
44 tensorflow::Flag("input_layer", &values.input_layer,
69 values.input_layer.empty() || values.input_layer_type.empty() ||
80 Split<string>(values.input_layer, ","),
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| tflite_diff_util.cc | 32 num_invocations, options.input_layer, options.input_layer_type,
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| tflite_diff_util.h | 33 std::vector<string> input_layer; member in struct:tflite::testing::DiffOptions
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| tf_driver.cc | 105 TfDriver::TfDriver(const std::vector<string>& input_layer,
109 : input_names_(input_layer), output_names_(output_layer) {
110 CHECK_EQ(input_layer.size(), input_layer_type.size());
111 CHECK_EQ(input_layer.size(), input_layer_shape.size());
113 input_ids_.resize(input_layer.size());
114 input_tensors_.reserve(input_layer.size());
115 input_types_.resize(input_layer.size());
116 input_shapes_.resize(input_layer.size());
117 for (int i = 0; i < input_layer.size(); i++) {
119 input_tensors_[input_layer[i]] = {}
[all...] |
| generate_testspec.h | 36 // against. input_layer: names of input tensors. Example: input1
43 const std::vector<string>& input_layer,
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| tf_driver.h | 35 explicit TfDriver(const std::vector<string>& input_layer,
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| /external/tensorflow/tensorflow/examples/label_image/ |
| label_image.py | 84 input_layer = "input" variable
95 parser.add_argument("--input_layer", help="name of input layer")
113 if args.input_layer:
114 input_layer = args.input_layer variable
126 input_name = "import/" + input_layer
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| main.cc | 290 string input_layer = "input"; local
303 Flag("input_layer", &input_layer, "name of input layer"),
347 Status run_status = session->Run({{input_layer, resized_tensor}},
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| /external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/ |
| sequence_feature_column.py | 68 input_layer, sequence_length = sequence_input_layer(features, columns)
72 rnn_cell, inputs=input_layer, sequence_length=sequence_length)
87 An `(input_layer, sequence_length)` tuple where:
88 - input_layer: A float `Tensor` of shape `[batch_size, T, D]`.
203 input_layer, sequence_length = sequence_input_layer(features, columns)
207 rnn_cell, inputs=input_layer, sequence_length=sequence_length)
247 input_layer, sequence_length = sequence_input_layer(features, columns)
251 rnn_cell, inputs=input_layer, sequence_length=sequence_length)
290 input_layer, sequence_length = sequence_input_layer(features, columns)
294 rnn_cell, inputs=input_layer, sequence_length=sequence_length
[all...] |
| sequence_feature_column_test.py | 124 input_layer, sequence_length = sfc.sequence_input_layer(
140 self.assertAllEqual(expected_input_layer, input_layer.eval(session=sess))
216 input_layer, sequence_length = sfc.sequence_input_layer(
229 self.assertAllEqual(expected_input_layer, input_layer.eval(session=sess))
324 input_layer, sequence_length = sfc.sequence_input_layer(
333 self.assertAllEqual(expected_input_layer, input_layer.eval(session=sess))
389 input_layer, sequence_length = sfc.sequence_input_layer(
394 self.assertAllEqual(expected_input_layer, input_layer.eval(session=sess))
434 input_layer, sequence_length = sfc.sequence_input_layer(
439 self.assertAllEqual(expected_input_layer, input_layer.eval(session=sess)
[all...] |
| sequence_feature_column_integration_test.py | 94 ctx_layer = fc.input_layer(features, ctx_cols)
95 input_layer = sfc.concatenate_context_input(ctx_layer, seq_layer)
98 output = rnn_layer(input_layer)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| serialization.py | 26 from tensorflow.python.keras.engine.input_layer import Input
27 from tensorflow.python.keras.engine.input_layer import InputLayer
|
| /external/tensorflow/tensorflow/python/util/ |
| serialization_test.py | 26 from tensorflow.python.keras.engine import input_layer
63 x = input_layer.Input(shape=[3])
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| /external/tensorflow/tensorflow/python/feature_column/ |
| sequence_feature_column_integration_test.py | 95 input_layer = fc.DenseFeatures(ctx_cols)
96 ctx_layer = input_layer(features)
97 input_layer = sfc.concatenate_context_input(ctx_layer, seq_layer)
100 output = rnn_layer(input_layer)
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| sequence_feature_column_test.py | 130 input_layer, sequence_length = sequence_input_layer({
141 self.assertAllEqual(expected_input_layer, self.evaluate(input_layer))
221 input_layer, sequence_length = sequence_input_layer({
232 input_layer.eval(session=sess))
329 input_layer, sequence_length = sequence_input_layer({
332 self.assertAllEqual(expected_input_layer, self.evaluate(input_layer))
390 input_layer, sequence_length = sequence_input_layer({'aaa': sparse_input})
392 self.assertAllEqual(expected_input_layer, self.evaluate(input_layer))
434 input_layer, sequence_length = sequence_input_layer({'aaa': sparse_input})
436 self.assertAllEqual(expected_input_layer, self.evaluate(input_layer))
[all...] |
| feature_column_test.py | [all...] |
| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| cnn_mnist.py | 31 input_layer = tf.reshape(features["x"], [-1, 28, 28, 1])
39 inputs=input_layer,
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| /external/tensorflow/tensorflow/python/keras/ |
| models.py | 28 from tensorflow.python.keras.engine.input_layer import Input
29 from tensorflow.python.keras.engine.input_layer import InputLayer
246 input_layer = input_tensor._keras_history[0]
247 return Sequential(layers=[input_layer] + layers, name=model.name)
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| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| dnn_tree_combined_estimator.py | 184 input_layer = feature_column_lib.input_layer(
189 input_layer = layers.input_from_feature_columns(
196 previous_layer = input_layer
254 tree_features["dnn_input_layer"] = input_layer
[all...] |
| /external/tensorflow/tensorflow/contrib/pi_examples/label_image/ |
| label_image.cc | 319 string input_layer = "Mul"; local
332 Flag("input_layer", &input_layer, "name of input layer"),
376 Status run_status = session->Run({{input_layer, resized_tensor}},
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| /external/tensorflow/tensorflow/examples/multibox_detector/ |
| main.cc | 346 string input_layer = "ResizeBilinear"; local
367 Flag("input_layer", &input_layer, "name of input layer"),
416 session->Run({{input_layer, resized_tensor}},
|
