1 // clang-format off
2 // Generated file (from: dequantize_relaxed.mod.py). Do not edit
CreateModel(Model * model)3 void CreateModel(Model *model) {
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 0);
5 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
6 // Phase 1, operands
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 // Phase 2, operations
10 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
11 // Phase 3, inputs and outputs
12 model->identifyInputsAndOutputs(
13 {op1},
14 {op2});
15 // Phase 4: set relaxed execution
16 model->relaxComputationFloat32toFloat16(true);
17 assert(model->isValid());
18 }
19
is_ignored(int i)20 inline bool is_ignored(int i) {
21 static std::set<int> ignore = {};
22 return ignore.find(i) != ignore.end();
23 }
24
CreateModel_dynamic_output_shape(Model * model)25 void CreateModel_dynamic_output_shape(Model *model) {
26 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 0);
27 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
28 // Phase 1, operands
29 auto op1 = model->addOperand(&type0);
30 auto op2 = model->addOperand(&type2);
31 // Phase 2, operations
32 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
33 // Phase 3, inputs and outputs
34 model->identifyInputsAndOutputs(
35 {op1},
36 {op2});
37 // Phase 4: set relaxed execution
38 model->relaxComputationFloat32toFloat16(true);
39 assert(model->isValid());
40 }
41
is_ignored_dynamic_output_shape(int i)42 inline bool is_ignored_dynamic_output_shape(int i) {
43 static std::set<int> ignore = {};
44 return ignore.find(i) != ignore.end();
45 }
46
47