1// Generated file (from: depthwise_conv_relaxed.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type0(Type::INT32, {});
4  OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
5  OperandType type1(Type::TENSOR_FLOAT32, {1, 8, 8, 3});
6  OperandType type3(Type::TENSOR_FLOAT32, {3});
7  // Phase 1, operands
8  auto b4 = model->addOperand(&type0);
9  auto b5 = model->addOperand(&type0);
10  auto b6 = model->addOperand(&type0);
11  auto b7 = model->addOperand(&type0);
12  auto b8 = model->addOperand(&type0);
13  auto op2 = model->addOperand(&type1);
14  auto op3 = model->addOperand(&type1);
15  auto op0 = model->addOperand(&type2);
16  auto op1 = model->addOperand(&type3);
17  // Phase 2, operations
18  static int32_t b4_init[] = {1};
19  model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1);
20  static int32_t b5_init[] = {1};
21  model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
22  static int32_t b6_init[] = {1};
23  model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1);
24  static int32_t b7_init[] = {1};
25  model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1);
26  static int32_t b8_init[] = {0};
27  model->setOperandValue(b8, b8_init, sizeof(int32_t) * 1);
28  static float op0_init[] = {-0.966213f, -0.467474f, -0.82203f};
29  model->setOperandValue(op0, op0_init, sizeof(float) * 3);
30  static float op1_init[] = {0.0f, 0.0f, 0.0f};
31  model->setOperandValue(op1, op1_init, sizeof(float) * 3);
32  model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3});
33  // Phase 3, inputs and outputs
34  model->identifyInputsAndOutputs(
35    {op2},
36    {op3});
37  assert(model->isValid());
38}
39
40bool is_ignored(int i) {
41  static std::set<int> ignore = {};
42  return ignore.find(i) != ignore.end();
43}
44