| /frameworks/ml/nn/runtime/test/generated/models/ |
| strided_slice_float_5_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto input = model->addOperand(&type0);
9 auto begins = model->addOperand(&type1);
10 auto ends = model->addOperand(&type1);
11 auto strides = model->addOperand(&type1);
12 auto beginMask = model->addOperand(&type2);
13 auto endMask = model->addOperand(&type2);
14 auto shrinkAxisMask = model->addOperand(&type2);
15 auto output = model->addOperand(&type3)
[all...] |
| strided_slice_float_6_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto input = model->addOperand(&type0);
9 auto begins = model->addOperand(&type1);
10 auto ends = model->addOperand(&type1);
11 auto strides = model->addOperand(&type1);
12 auto beginMask = model->addOperand(&type2);
13 auto endMask = model->addOperand(&type2);
14 auto shrinkAxisMask = model->addOperand(&type2);
15 auto output = model->addOperand(&type3)
[all...] |
| strided_slice_float_7_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto input = model->addOperand(&type0);
8 auto begins = model->addOperand(&type1);
9 auto ends = model->addOperand(&type1);
10 auto strides = model->addOperand(&type1);
11 auto beginMask = model->addOperand(&type2);
12 auto endMask = model->addOperand(&type2);
13 auto shrinkAxisMask = model->addOperand(&type2);
14 auto output = model->addOperand(&type0)
[all...] |
| strided_slice_float_8_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto input = model->addOperand(&type0);
9 auto begins = model->addOperand(&type1);
10 auto ends = model->addOperand(&type1);
11 auto strides = model->addOperand(&type1);
12 auto beginMask = model->addOperand(&type2);
13 auto endMask = model->addOperand(&type2);
14 auto shrinkAxisMask = model->addOperand(&type2);
15 auto output = model->addOperand(&type3)
[all...] |
| strided_slice_float_9_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto input = model->addOperand(&type0);
9 auto begins = model->addOperand(&type1);
10 auto ends = model->addOperand(&type1);
11 auto strides = model->addOperand(&type1);
12 auto beginMask = model->addOperand(&type2);
13 auto endMask = model->addOperand(&type2);
14 auto shrinkAxisMask = model->addOperand(&type2);
15 auto output = model->addOperand(&type3)
[all...] |
| strided_slice_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto input = model->addOperand(&type0);
9 auto begins = model->addOperand(&type1);
10 auto ends = model->addOperand(&type1);
11 auto strides = model->addOperand(&type1);
12 auto beginMask = model->addOperand(&type2);
13 auto endMask = model->addOperand(&type2);
14 auto shrinkAxisMask = model->addOperand(&type2);
15 auto output = model->addOperand(&type3)
[all...] |
| 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_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());
|
| 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());
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| dequantize.mod.py | 0 # model
2 model = Model() variable
5 model = model.Operation("DEQUANTIZE", i1).To(i2) variable
|
| floor.mod.py | 0 # model
2 model = Model() variable
5 model = model.Operation("FLOOR", i1).To(i2) variable
|
| l2_normalization.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
|
| l2_normalization_2.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
|
| l2_normalization_large.mod.py | 17 model = Model() variable
22 model = model.Operation("L2_NORMALIZATION", i1).To(i2) variable
|
| logistic_float_1.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("LOGISTIC", i1).To(i3) variable
|
| logistic_quant8_1.mod.py | 17 # model
18 model = Model() variable
22 model = model.Operation("LOGISTIC", i1).To(i3) variable
|
| relu1_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU1", i1).To(i2) variable
|
| relu6_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU6", i1).To(i2) variable
|
| relu_float_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU", i1).To(i2) variable
|
| tanh.mod.py | 0 # model
2 model = Model() variable
6 model = model.Operation("TANH", i1).To(i2) variable
|
