nn/tools/test_generator/tests/P_full/stdout.txt.expect

// Generated file (from: addfloat.mod.py). Do not edit
void CreateModel(Model *model) {
  OperandType type1(Type::INT32, {});
  OperandType type0(Type::TENSOR_FLOAT32, {2});
  // Phase 1, operands
  auto op1 = model->addOperand(&type0);
  auto op2 = model->addOperand(&type0);
  auto b0 = model->addOperand(&type1);
  auto op3 = model->addOperand(&type0);
  // Phase 2, operations
  static int32_t b0_init[] = {0};
  model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1);
  model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, b0}, {op3});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {op1, op2},
    {op3});
  assert(model->isValid());
}

bool is_ignored(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}
// Generated file (from: addfloat.mod.py). Do not edit
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {1.0f, 2.0f}}, {1, {3.0f, 4.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {4.0f, 6.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
}
}, // End of an example