1// Generated file (from: depthwise_conv2d_float_2.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type4(Type::TENSOR_FLOAT32, {1, 2, 1, 4});
5  OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 4});
6  OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 2, 2});
7  OperandType type2(Type::TENSOR_FLOAT32, {4});
8  // Phase 1, operands
9  auto op1 = model->addOperand(&type0);
10  auto op2 = model->addOperand(&type1);
11  auto op3 = model->addOperand(&type2);
12  auto pad_valid = model->addOperand(&type3);
13  auto act_none = model->addOperand(&type3);
14  auto stride = model->addOperand(&type3);
15  auto channelMultiplier = model->addOperand(&type3);
16  auto op4 = model->addOperand(&type4);
17  // Phase 2, operations
18  static float op2_init[] = {1.0f, 2.0f, 3.0f, 4.0f, -9.0f, 10.0f, -11.0f, 12.0f, 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, -14.0f, 15.0f, -16.0f};
19  model->setOperandValue(op2, op2_init, sizeof(float) * 16);
20  static float op3_init[] = {1.0f, 2.0f, 3.0f, 4.0f};
21  model->setOperandValue(op3, op3_init, sizeof(float) * 4);
22  static int32_t pad_valid_init[] = {2};
23  model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1);
24  static int32_t act_none_init[] = {0};
25  model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1);
26  static int32_t stride_init[] = {1};
27  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
28  static int32_t channelMultiplier_init[] = {2};
29  model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
30  model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4});
31  // Phase 3, inputs and outputs
32  model->identifyInputsAndOutputs(
33    {op1},
34    {op4});
35  assert(model->isValid());
36}
37
38bool is_ignored(int i) {
39  static std::set<int> ignore = {};
40  return ignore.find(i) != ignore.end();
41}
42