1// Generated file (from: mean_quant8_1.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::INT32, {});
4  OperandType type1(Type::TENSOR_INT32, {4});
5  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2}, 0.8, 5);
6  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 3, 2}, 0.8, 5);
7  // Phase 1, operands
8  auto input = model->addOperand(&type0);
9  auto axis = model->addOperand(&type1);
10  auto keepDims = model->addOperand(&type2);
11  auto output = model->addOperand(&type3);
12  // Phase 2, operations
13  static int32_t axis_init[] = {1, 0, -3, -3};
14  model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4);
15  static int32_t keepDims_init[] = {0};
16  model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1);
17  model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {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