| /external/testng/src/main/java/org/testng/reporters/jq/ |
| BannerPanel.java | 7 public BannerPanel(Model model) {
8 super(model);
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| dequantize.model.cpp | 2 void CreateModel(Model *model) {
6 auto op1 = model->addOperand(&type0);
7 auto op2 = model->addOperand(&type1);
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
11 model->identifyInputsAndOutputs(
14 assert(model->isValid());
|
| embedding_lookup.model.cpp | 2 void CreateModel(Model *model) {
6 auto index = model->addOperand(&type0);
7 auto value = model->addOperand(&type1);
8 auto output = model->addOperand(&type1);
10 model->addOperation(ANEURALNETWORKS_EMBEDDING_LOOKUP, {index, value}, {output});
12 model->identifyInputsAndOutputs(
15 assert(model->isValid());
|
| logistic_quant8_1.model.cpp | 2 void CreateModel(Model *model) {
6 auto op1 = model->addOperand(&type0);
7 auto op3 = model->addOperand(&type1);
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3});
11 model->identifyInputsAndOutputs(
14 assert(model->isValid());
|
| logistic_quant8_2.model.cpp | 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto output = model->addOperand(&type1);
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
11 model->identifyInputsAndOutputs(
14 assert(model->isValid());
|
| reshape_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto op3 = model->addOperand(&type2);
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
13 model->identifyInputsAndOutputs(
16 assert(model->isValid());
|
| reshape_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto op3 = model->addOperand(&type2);
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
13 model->identifyInputsAndOutputs(
16 assert(model->isValid());
|
| softmax_float_1.model.cpp | 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto beta = model->addOperand(&type1);
8 auto output = model->addOperand(&type0);
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
14 model->identifyInputsAndOutputs(
17 assert(model->isValid());
|
| softmax_float_2.model.cpp | 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto beta = model->addOperand(&type1);
8 auto output = model->addOperand(&type0);
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
14 model->identifyInputsAndOutputs(
17 assert(model->isValid());
|
| /frameworks/ml/nn/runtime/test/specs/ |
| depthwise_conv2d_float_large_2_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_float_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_quant8_large_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_quant8_weights_as_inputs.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| logistic_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("LOGISTIC", i0).To(output) variable
|
| relu1_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU1", i0).To(output) variable
|
| relu1_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU1", i0).To(output) variable
|
| relu6_float_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU6", i0).To(output) variable
|
| relu6_quant8_2.mod.py | 17 # model
18 model = Model() variable
29 model = model.Operation("RELU6", i0).To(output) variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_weird/ |
| weird_add.mod.py | 0 # model
2 model = Model() variable
10 model = model.Operation("ADD", i1, i2, b0).To(tmp) variable
11 model = model.Operation("ADD", tmp, i2, b0).To(tmp2) variable
12 model = model.Operation("ADD", tmp2, i4, b0).To(o3) variable
|
| /device/linaro/bootloader/edk2/BaseTools/Source/Python/Table/ |
| TableIdentifier.py | 42 # @param Model: Model of a Identifier
56 Model INTEGER NOT NULL,
75 # @param Model: Model of a Identifier
83 def Insert(self, Modifier, Type, Name, Value, Model, BelongsToFile, BelongsToFunction, StartLine, StartColumn, EndLine, EndColumn):
87 % (self.Table, self.ID, Modifier, Type, Name, Value, Model, BelongsToFile, BelongsToFunction, StartLine, StartColumn, EndLine, EndColumn)
|
| TablePcd.py | 42 # @param Model: Model of a Pcd
56 Model INTEGER NOT NULL,
75 # @param Model: Model of a Pcd
83 def Insert(self, CName, TokenSpaceGuidCName, Token, DatumType, Model, BelongsToFile, BelongsToFunction, StartLine, StartColumn, EndLine, EndColumn):
87 % (self.Table, self.ID, CName, TokenSpaceGuidCName, Token, DatumType, Model, BelongsToFile, BelongsToFunction, StartLine, StartColumn, EndLine, EndColumn)
|
| /external/swiftshader/third_party/LLVM/lib/ExecutionEngine/ |
| TargetSelect.cpp | 33 Reloc::Model RM,
34 CodeModel::Model CM,
|
| /external/swiftshader/third_party/LLVM/lib/Target/CellSPU/MCTargetDesc/ |
| SPUMCTargetDesc.cpp | 64 static MCCodeGenInfo *createSPUMCCodeGenInfo(StringRef TT, Reloc::Model RM,
65 CodeModel::Model CM) {
|
| /external/swiftshader/third_party/LLVM/lib/Target/CellSPU/ |
| SPUTargetMachine.cpp | 37 Reloc::Model RM, CodeModel::Model CM)
|
