1 // clang-format off
2 // Generated file (from: dequantize.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 assert(model->isValid());
16 }
17
is_ignored(int i)18 inline bool is_ignored(int i) {
19 static std::set<int> ignore = {};
20 return ignore.find(i) != ignore.end();
21 }
22
CreateModel_dynamic_output_shape(Model * model)23 void CreateModel_dynamic_output_shape(Model *model) {
24 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.0f, 0);
25 OperandType type2(Type::TENSOR_FLOAT32, {0, 0, 0, 0});
26 // Phase 1, operands
27 auto op1 = model->addOperand(&type0);
28 auto op2 = model->addOperand(&type2);
29 // Phase 2, operations
30 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
31 // Phase 3, inputs and outputs
32 model->identifyInputsAndOutputs(
33 {op1},
34 {op2});
35 assert(model->isValid());
36 }
37
is_ignored_dynamic_output_shape(int i)38 inline bool is_ignored_dynamic_output_shape(int i) {
39 static std::set<int> ignore = {};
40 return ignore.find(i) != ignore.end();
41 }
42
43