1// Generated file (from: fully_connected_float.mod.py). Do not edit
2void CreateModel(Model *model) {
3  OperandType type3(Type::INT32, {});
4  OperandType type1(Type::TENSOR_FLOAT32, {1, 1});
5  OperandType type2(Type::TENSOR_FLOAT32, {1});
6  OperandType type0(Type::TENSOR_FLOAT32, {3, 1});
7  // Phase 1, operands
8  auto op1 = model->addOperand(&type0);
9  auto op2 = model->addOperand(&type1);
10  auto b0 = model->addOperand(&type2);
11  auto op3 = model->addOperand(&type0);
12  auto act = model->addOperand(&type3);
13  // Phase 2, operations
14  static float op2_init[] = {2.0f};
15  model->setOperandValue(op2, op2_init, sizeof(float) * 1);
16  static float b0_init[] = {4.0f};
17  model->setOperandValue(b0, b0_init, sizeof(float) * 1);
18  static int32_t act_init[] = {0};
19  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
20  model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
21  // Phase 3, inputs and outputs
22  model->identifyInputsAndOutputs(
23    {op1},
24    {op3});
25  assert(model->isValid());
26}
27
28bool is_ignored(int i) {
29  static std::set<int> ignore = {};
30  return ignore.find(i) != ignore.end();
31}
32