1// Generated file (from: conv_float_weights_as_inputs.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 int32_t pad0_init[] = {0};
17  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
18  static int32_t act_init[] = {0};
19  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
20  static int32_t stride_init[] = {1};
21  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22  model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
23  // Phase 3, inputs and outputs
24  model->identifyInputsAndOutputs(
25    {op1, op2, op3},
26    {op4});
27  assert(model->isValid());
28}
29
30bool is_ignored(int i) {
31  static std::set<int> ignore = {};
32  return ignore.find(i) != ignore.end();
33}
34