1// Generated file (from: transpose_quant8_1.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type1(Type::TENSOR_INT32, {4});
4  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3, 4, 5}, 1.0, 0);
5  OperandType type2(Type::TENSOR_QUANT8_ASYMM, {4, 2, 3, 5}, 1.0, 0);
6  // Phase 1, operands
7  auto input = model->addOperand(&type0);
8  auto perms = model->addOperand(&type1);
9  auto output = model->addOperand(&type2);
10  // Phase 2, operations
11  static int32_t perms_init[] = {2, 0, 1, 3};
12  model->setOperandValue(perms, perms_init, sizeof(int32_t) * 4);
13  model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
14  // Phase 3, inputs and outputs
15  model->identifyInputsAndOutputs(
16    {input},
17    {output});
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