1// Generated file (from: mul_broadcast_quant8.mod.py). Do not edit 2void CreateModel(Model *model) { 3 OperandType type2(Type::INT32, {}); 4 OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2}, 1.0, 0); 5 OperandType type1(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0, 0); 6 OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 2.0, 0); 7 // Phase 1, operands 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto act = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type3); 12 // Phase 2, operations 13 static int32_t act_init[] = {0}; 14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 15 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); 16 // Phase 3, inputs and outputs 17 model->identifyInputsAndOutputs( 18 {op1, op2}, 19 {op3}); 20 assert(model->isValid()); 21} 22 23bool is_ignored(int i) { 24 static std::set<int> ignore = {}; 25 return ignore.find(i) != ignore.end(); 26} 27