1// Generated file (from: conv_float_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
5  OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
6  OperandType type2(Type::TENSOR_FLOAT32, {1});
7  // Phase 1, operands
8  auto op1 = model->addOperand(&type0);
9  auto op2 = model->addOperand(&type1);
10  auto op3 = model->addOperand(&type2);
11  auto pad0 = model->addOperand(&type3);
12  auto act = model->addOperand(&type3);
13  auto stride = model->addOperand(&type3);
14  auto op4 = model->addOperand(&type1);
15  // Phase 2, operations
16  static float op2_init[] = {0.25f, 0.25f, 0.25f, 0.25f};
17  model->setOperandValue(op2, op2_init, sizeof(float) * 4);
18  static float op3_init[] = {0.0f};
19  model->setOperandValue(op3, op3_init, sizeof(float) * 1);
20  static int32_t pad0_init[] = {0};
21  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
22  static int32_t act_init[] = {0};
23  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
24  static int32_t stride_init[] = {1};
25  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
26  model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
27  // Phase 3, inputs and outputs
28  model->identifyInputsAndOutputs(
29    {op1},
30    {op4});
31  // Phase 4: set relaxed execution
32  model->relaxComputationFloat32toFloat16(true);
33  assert(model->isValid());
34}
35
36bool is_ignored(int i) {
37  static std::set<int> ignore = {};
38  return ignore.find(i) != ignore.end();
39}
40