1// Generated file (from: pad_float_1.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 1});
4  OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 7, 1});
5  OperandType type1(Type::TENSOR_INT32, {4, 2});
6  // Phase 1, operands
7  auto op1 = model->addOperand(&type0);
8  auto op2 = model->addOperand(&type1);
9  auto op3 = model->addOperand(&type2);
10  // Phase 2, operations
11  static int32_t op2_init[] = {0, 0, 0, 2, 1, 3, 0, 0};
12  model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
13  model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
14  // Phase 3, inputs and outputs
15  model->identifyInputsAndOutputs(
16    {op1},
17    {op3});
18  assert(model->isValid());
19}
20
21bool is_ignored(int i) {
22  static std::set<int> ignore = {};
23  return ignore.find(i) != ignore.end();
24}
25