1// Generated file (from: mean_float_2_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::INT32, {});
4  OperandType type3(Type::TENSOR_FLOAT32, {1, 3, 1});
5  OperandType type0(Type::TENSOR_FLOAT32, {4, 3, 2});
6  OperandType type1(Type::TENSOR_INT32, {2});
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[] = {0, 2};
14  model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2);
15  static int32_t keepDims_init[] = {1};
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  // Phase 4: set relaxed execution
23  model->relaxComputationFloat32toFloat16(true);
24  assert(model->isValid());
25}
26
27bool is_ignored(int i) {
28  static std::set<int> ignore = {};
29  return ignore.find(i) != ignore.end();
30}
31