1// Generated file (from: resize_bilinear_2_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type2(Type::INT32, {});
4  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 2});
5  OperandType type1(Type::TENSOR_FLOAT32, {1, 3, 3, 2});
6  // Phase 1, operands
7  auto op1 = model->addOperand(&type0);
8  auto op2 = model->addOperand(&type1);
9  auto height = model->addOperand(&type2);
10  auto width = model->addOperand(&type2);
11  // Phase 2, operations
12  static int32_t height_init[] = {3};
13  model->setOperandValue(height, height_init, sizeof(int32_t) * 1);
14  static int32_t width_init[] = {3};
15  model->setOperandValue(width, width_init, sizeof(int32_t) * 1);
16  model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, height, width}, {op2});
17  // Phase 3, inputs and outputs
18  model->identifyInputsAndOutputs(
19    {op1},
20    {op2});
21  // Phase 4: set relaxed execution
22  model->relaxComputationFloat32toFloat16(true);
23  assert(model->isValid());
24}
25
26bool is_ignored(int i) {
27  static std::set<int> ignore = {};
28  return ignore.find(i) != ignore.end();
29}
30