| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | relu6_quant8_2.model.cpp | 2 void CreateModel(Model *model) { argument
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());
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| H A D | relu_float_1.model.cpp | 2 void CreateModel(Model *model) { argument
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());
|
| H A D | relu_float_1_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
|
| H A D | relu_float_2.model.cpp | 2 void CreateModel(Model *model) { argument
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());
|
| H A D | relu_float_2_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
|
| H A D | relu_quant8_1.model.cpp | 2 void CreateModel(Model *model) { argument
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());
|
| H A D | relu_quant8_2.model.cpp | 2 void CreateModel(Model *model) { argument
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());
|
| H A D | tanh.model.cpp | 2 void CreateModel(Model *model) { argument
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());
|
| H A D | tanh_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | add.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| H A D | add_broadcast_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| H A D | add_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| H A D | concat_float_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) variable
|
| H A D | concat_quant8_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r) variable
|
| H A D | 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
|
| H A D | 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
|
| H A D | 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
|
| H A D | 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
|
| H A D | 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
|
| H A D | mul.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("MUL", i1, i2, act).To(i3) variable
|
| H A D | mul_broadcast_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("MUL", i1, i2, act).To(i3) variable
|
| H A D | mul_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("MUL", i1, i2, act).To(i3) variable
|
| H A D | mul_relu.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("MUL", i1, i2, act).To(i3) variable
|
| H A D | relu1_quant8_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU1", i1).To(o) variable
|
| H A D | relu6_quant8_1.mod.py | 17 # model
18 model = Model() variable
21 model = model.Operation("RELU6", i1).To(i2) variable
|