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