1// Generated file (from: fully_connected_quant8_large_weights_as_inputs.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type1(Type::TENSOR_INT32, {1}, 0.04, 0);
5  OperandType type2(Type::TENSOR_QUANT8_ASYMM, {1, 1}, 1.f, 0);
6  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 5}, 0.2, 0);
7  // Phase 1, operands
8  auto op1 = model->addOperand(&type0);
9  auto op2 = model->addOperand(&type0);
10  auto b0 = model->addOperand(&type1);
11  auto op3 = model->addOperand(&type2);
12  auto act = model->addOperand(&type3);
13  // Phase 2, operations
14  static int32_t act_init[] = {0};
15  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
16  model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
17  // Phase 3, inputs and outputs
18  model->identifyInputsAndOutputs(
19    {op1, op2, b0},
20    {op3});
21  assert(model->isValid());
22}
23
24bool is_ignored(int i) {
25  static std::set<int> ignore = {};
26  return ignore.find(i) != ignore.end();
27}
28