1// Generated file (from: add_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}, 2.0, 0);
5  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {2, 2}, 1.0, 0);
6  // Phase 1, operands
7  auto op1 = model->addOperand(&type0);
8  auto op2 = model->addOperand(&type1);
9  auto act = model->addOperand(&type2);
10  auto op3 = model->addOperand(&type1);
11  // Phase 2, operations
12  static int32_t act_init[] = {0};
13  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
14  model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
15  // Phase 3, inputs and outputs
16  model->identifyInputsAndOutputs(
17    {op1, op2},
18    {op3});
19  assert(model->isValid());
20}
21
22bool is_ignored(int i) {
23  static std::set<int> ignore = {};
24  return ignore.find(i) != ignore.end();
25}
26