1// Generated file (from: local_response_norm_float_2.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::FLOAT32, {});
4  OperandType type1(Type::INT32, {});
5  OperandType type0(Type::TENSOR_FLOAT32, {1, 1, 1, 6});
6  // Phase 1, operands
7  auto input = model->addOperand(&type0);
8  auto radius = model->addOperand(&type1);
9  auto bias = model->addOperand(&type2);
10  auto alpha = model->addOperand(&type2);
11  auto beta = model->addOperand(&type2);
12  auto output = model->addOperand(&type0);
13  // Phase 2, operations
14  static int32_t radius_init[] = {20};
15  model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
16  static float bias_init[] = {0.0f};
17  model->setOperandValue(bias, bias_init, sizeof(float) * 1);
18  static float alpha_init[] = {1.0f};
19  model->setOperandValue(alpha, alpha_init, sizeof(float) * 1);
20  static float beta_init[] = {0.5f};
21  model->setOperandValue(beta, beta_init, sizeof(float) * 1);
22  model->addOperation(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {input, radius, bias, alpha, beta}, {output});
23  // Phase 3, inputs and outputs
24  model->identifyInputsAndOutputs(
25    {input},
26    {output});
27  assert(model->isValid());
28}
29
30bool is_ignored(int i) {
31  static std::set<int> ignore = {};
32  return ignore.find(i) != ignore.end();
33}
34