| /external/tensorflow/tensorflow/contrib/lite/toco/tflite/ |
| export.h | 18 #include "tensorflow/contrib/lite/toco/model.h"
24 // Transform the given tf.mini model into a TF Lite flatbuffer and deposit the
26 void Export(const Model& model, bool allow_custom_ops,
29 inline void Export(const Model& model, string* output_file_contents) {
30 Export(model, true, output_file_contents);
68 void LoadTensorsMap(const Model& model, TensorsMap* tensors_map);
69 void LoadOperatorsMap(const Model& model, OperatorsMap* operators_map)
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| decision-tree-resource.h | 42 const decision_trees::Model& decision_tree() const { return *decision_tree_; }
44 decision_trees::Model* mutable_decision_tree() {
58 void Reset() { decision_tree_.reset(new decision_trees::Model()); }
76 std::unique_ptr<decision_trees::Model> decision_tree_;
|
| /external/testng/src/main/java/org/testng/mustache/ |
| StringChunk.java | 7 public StringChunk(Model model, String string) {
8 super(model);
|
| VariableChunk.java | 7 public VariableChunk(Model model, String variable) {
8 super(model);
21 return "[VariableChunk " + m_variable + " model:" + m_model + "]";
|
| /frameworks/ml/nn/common/include/ |
| GraphDump.h | 27 // Write a representation of the model in Graphviz (.dot) format to
44 // A model input or output (operand) is shown in "reverse colors" --
47 void graphDump(const char* name, const ::android::hardware::neuralnetworks::V1_1::Model& model,
|
| /frameworks/ml/nn/runtime/test/ |
| Bridge.cpp | 30 void graphDump(const char* name, const ModelBuilder* model, std::ostream& outStream) {
31 Model hidlModel;
32 model->setHidlModel(&hidlModel);
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| add.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| add_broadcast_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| add_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| avg_pool_float_5.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
|
| avg_pool_quant8_5.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
|
| concat_float_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) variable
|
| concat_quant8_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r) variable
|
| depth_to_space_float_1.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_float_2.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_float_3.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_quant8_1.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_quant8_2.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| fully_connected_float.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_2.mod.py | 17 model = Model() variable
48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0) variable
|
| fully_connected_float_3.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_large.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_weights_as_inputs.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_quant8.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
