| /external/llvm/lib/Target/Hexagon/ |
| HexagonTargetMachine.h | 33 Optional<Reloc::Model> RM, CodeModel::Model CM,
|
| /external/llvm/lib/Target/SystemZ/ |
| SystemZTargetMachine.h | 32 Optional<Reloc::Model> RM, CodeModel::Model CM,
|
| /external/llvm/lib/Target/WebAssembly/ |
| WebAssemblyTargetMachine.h | 31 Optional<Reloc::Model> RM, CodeModel::Model CM,
|
| /external/llvm/lib/Target/X86/ |
| X86TargetMachine.h | 34 Optional<Reloc::Model> RM, CodeModel::Model CM,
|
| /external/swiftshader/third_party/LLVM/lib/Target/Alpha/ |
| AlphaTargetMachine.cpp | 27 Reloc::Model RM, CodeModel::Model CM)
|
| AlphaTargetMachine.h | 41 Reloc::Model RM, CodeModel::Model CM);
|
| /external/swiftshader/third_party/LLVM/lib/Target/Alpha/MCTargetDesc/ |
| AlphaMCTargetDesc.cpp | 53 static MCCodeGenInfo *createAlphaMCCodeGenInfo(StringRef TT, Reloc::Model RM,
54 CodeModel::Model CM) {
|
| /external/swiftshader/third_party/LLVM/lib/Target/Blackfin/ |
| BlackfinTargetMachine.h | 40 Reloc::Model RM, CodeModel::Model CM);
|
| /external/swiftshader/third_party/LLVM/lib/Target/Blackfin/MCTargetDesc/ |
| BlackfinMCTargetDesc.cpp | 54 static MCCodeGenInfo *createBlackfinMCCodeGenInfo(StringRef TT, Reloc::Model RM,
55 CodeModel::Model CM) {
|
| /external/swiftshader/third_party/LLVM/lib/Target/CellSPU/ |
| SPUTargetMachine.h | 43 Reloc::Model RM, CodeModel::Model CM);
|
| /external/swiftshader/third_party/LLVM/lib/Target/MBlaze/ |
| MBlazeTargetMachine.cpp | 37 Reloc::Model RM, CodeModel::Model CM):
|
| /external/swiftshader/third_party/LLVM/lib/Target/MSP430/ |
| MSP430TargetMachine.cpp | 31 Reloc::Model RM, CodeModel::Model CM)
|
| MSP430TargetMachine.h | 43 Reloc::Model RM, CodeModel::Model CM);
|
| /external/swiftshader/third_party/LLVM/lib/Target/SystemZ/ |
| SystemZTargetMachine.h | 42 Reloc::Model RM, CodeModel::Model CM);
|
| /external/swiftshader/third_party/LLVM/lib/Target/XCore/ |
| XCoreTargetMachine.h | 37 Reloc::Model RM, CodeModel::Model CM);
|
| /external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
| ensure_bias_vectors.cc | 21 #include "tensorflow/contrib/lite/toco/model.h"
29 bool ProcessLinearOperator(Model* model, Operator* op) {
34 const string& bias_name = AvailableArrayName(*model, output_name + "_bias");
37 auto& bias_array = model->GetOrCreateArray(bias_name);
44 bool EnsureBiasVectors::Run(Model* model, std::size_t op_index) {
45 auto* op = model->operators[op_index].get();
49 if (ProcessLinearOperator(model, op)) {
|
| remove_trivial_slice.cc | 23 #include "tensorflow/contrib/lite/toco/model.h"
31 bool IsSliceTrivial(const Model& model, const Operator& op,
36 const auto& input_array = model.GetArray(op.inputs[0]);
37 const auto& output_array = model.GetArray(op.outputs[0]);
52 bool RemoveTrivialSlice::Run(Model* model, std::size_t op_index) {
53 const auto reshape_it = model->operators.begin() + op_index;
59 if (!IsSliceTrivial(*model, *slice_op, this)) {
66 return RemoveTrivialPassthroughOp(this, model, op_index)
[all...] |
| drop_im2col_arrays.cc | 16 #include "tensorflow/contrib/lite/toco/model.h"
22 bool DropIm2colArrays::Run(Model* model, std::size_t op_index) {
23 auto conv_it = model->operators.begin() + op_index;
35 model->EraseArray(conv_op->outputs[1]);
|
| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| Device.h | 47 Return<void> getSupportedOperations(const Model& model,
49 Return<ErrorStatus> prepareModel(const Model& model,
|
| /external/skia/tools/mdbviz/ |
| mainwindow.h | 14 #include "Model.h"
53 Model fModel;
|
| /external/skqp/tools/mdbviz/ |
| mainwindow.h | 14 #include "Model.h"
53 Model fModel;
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| floor.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| floor_relaxed.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
|
| l2_normalization.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| l2_normalization_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
