1// Generated file (from: max_pool_float_1_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type1(Type::INT32, {});
4  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
5  // Phase 1, operands
6  auto op1 = model->addOperand(&type0);
7  auto cons1 = model->addOperand(&type1);
8  auto pad0 = model->addOperand(&type1);
9  auto act = model->addOperand(&type1);
10  auto op3 = model->addOperand(&type0);
11  // Phase 2, operations
12  static int32_t cons1_init[] = {1};
13  model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
14  static int32_t pad0_init[] = {0};
15  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
16  static int32_t act_init[] = {0};
17  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
18  model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
19  // Phase 3, inputs and outputs
20  model->identifyInputsAndOutputs(
21    {op1},
22    {op3});
23  // Phase 4: set relaxed execution
24  model->relaxComputationFloat32toFloat16(true);
25  assert(model->isValid());
26}
27
28bool is_ignored(int i) {
29  static std::set<int> ignore = {};
30  return ignore.find(i) != ignore.end();
31}
32