1// Generated file (from: conv_quant8_weights_as_inputs.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0);
5  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 0);
6  OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 0);
7  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 3, 1}, 0.5f, 0);
8  // Phase 1, operands
9  auto op1 = model->addOperand(&type0);
10  auto op2 = model->addOperand(&type1);
11  auto op3 = model->addOperand(&type2);
12  auto pad0 = model->addOperand(&type3);
13  auto act = model->addOperand(&type3);
14  auto stride = model->addOperand(&type3);
15  auto op4 = model->addOperand(&type4);
16  // Phase 2, operations
17  static int32_t pad0_init[] = {0};
18  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
19  static int32_t act_init[] = {0};
20  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
21  static int32_t stride_init[] = {1};
22  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
23  model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
24  // Phase 3, inputs and outputs
25  model->identifyInputsAndOutputs(
26    {op1, op2, op3},
27    {op4});
28  assert(model->isValid());
29}
30
31bool is_ignored(int i) {
32  static std::set<int> ignore = {};
33  return ignore.find(i) != ignore.end();
34}
35