1// Generated file (from: space_to_batch_float_3.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type0(Type::TENSOR_FLOAT32, {1, 4, 2, 1});
4  OperandType type3(Type::TENSOR_FLOAT32, {6, 2, 4, 1});
5  OperandType type2(Type::TENSOR_INT32, {2, 2});
6  OperandType type1(Type::TENSOR_INT32, {2});
7  // Phase 1, operands
8  auto input = model->addOperand(&type0);
9  auto block_size = model->addOperand(&type1);
10  auto paddings = model->addOperand(&type2);
11  auto output = model->addOperand(&type3);
12  // Phase 2, operations
13  static int32_t block_size_init[] = {3, 2};
14  model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
15  static int32_t paddings_init[] = {1, 1, 2, 4};
16  model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
17  model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
18  // Phase 3, inputs and outputs
19  model->identifyInputsAndOutputs(
20    {input},
21    {output});
22  assert(model->isValid());
23}
24
25bool is_ignored(int i) {
26  static std::set<int> ignore = {};
27  return ignore.find(i) != ignore.end();
28}
29