1// Generated file (from: concat_quant8_3.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::INT32, {});
4  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {400, 30}, 0.5f, 0);
5  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {400, 60}, 0.5f, 0);
6  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {400, 90}, 0.5f, 0);
7  // Phase 1, operands
8  auto input1 = model->addOperand(&type0);
9  auto input2 = model->addOperand(&type1);
10  auto axis1 = model->addOperand(&type2);
11  auto output = model->addOperand(&type3);
12  // Phase 2, operations
13  static int32_t axis1_init[] = {1};
14  model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
15  model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
16  // Phase 3, inputs and outputs
17  model->identifyInputsAndOutputs(
18    {input1, input2},
19    {output});
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