| /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);
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| depthwise_conv.model.py | 0 model = Model()
11 model = model.DepthWiseConv(i2, i0, i1, i4, i5, i6, i7, i8).To(i3) variable
1 model = Model() variable
|
| 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());
|
| 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_large.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());
|
| logistic_float_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op3 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| logistic_float_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu1_float_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu1_float_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu1_quant8_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu1_quant8_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu6_float_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu6_float_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu6_quant8_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu6_quant8_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu_float_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu_float_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu_quant8_1.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| relu_quant8_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| tanh.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| /frameworks/ml/nn/runtime/test/specs/ |
| avg_pool_float_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
|
| avg_pool_quant8_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(o) variable
|
| avg_pool_quant8_4.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o) variable
|
| conv_float.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
