1// Generated file (from: avg_pool_float_3.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type1(Type::INT32, {});
4  OperandType type0(Type::TENSOR_FLOAT32, {1, 200, 180, 1});
5  OperandType type2(Type::TENSOR_FLOAT32, {1, 96, 86, 1});
6  // Phase 1, operands
7  auto i0 = model->addOperand(&type0);
8  auto stride = model->addOperand(&type1);
9  auto filter = model->addOperand(&type1);
10  auto padding = model->addOperand(&type1);
11  auto activation = model->addOperand(&type1);
12  auto output = model->addOperand(&type2);
13  // Phase 2, operations
14  static int32_t stride_init[] = {2};
15  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
16  static int32_t filter_init[] = {10};
17  model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1);
18  static int32_t padding_init[] = {0};
19  model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1);
20  static int32_t activation_init[] = {0};
21  model->setOperandValue(activation, activation_init, sizeof(int32_t) * 1);
22  model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
23  // Phase 3, inputs and outputs
24  model->identifyInputsAndOutputs(
25    {i0},
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