1 // Generated file (from: dequantize.mod.py). Do not edit
CreateModel(Model * model)2 void CreateModel(Model *model) {
3 OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 0);
5 // Phase 1, operands
6 auto op1 = model->addOperand(&type0);
7 auto op2 = model->addOperand(&type1);
8 // Phase 2, operations
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
10 // Phase 3, inputs and outputs
11 model->identifyInputsAndOutputs(
12 {op1},
13 {op2});
14 assert(model->isValid());
15 }
16
is_ignored(int i)17 bool is_ignored(int i) {
18 static std::set<int> ignore = {};
19 return ignore.find(i) != ignore.end();
20 }
21