// clang-format off
// Generated file (from: add_internal.mod.py). Do not edit
// clang-format off
// Generated file (from: add_internal.mod.py). Do not edit
// clang-format off
// Generated file (from: add_internal.mod.py). Do not edit
#include "../../TestGenerated.h"

namespace add_internal {
// Generated add_internal test
#include "-"
// Generated model constructor
#include "-"
} // namespace add_internal

void CreateModel(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {2});
  OperandType type1(Type::INT32, {});
  // Phase 1, operands
  auto o0 = model->addOperand(&type0);
  auto o1 = model->addOperand(&type0);
  auto act = model->addOperand(&type1);
  auto o2 = model->addOperand(&type0);
  auto p0 = model->addOperand(&type0);
  auto t5 = model->addOperand(&type0);
  auto t6 = model->addOperand(&type0);
  auto i2 = model->addOperand(&type0);
  auto t0 = model->addOperand(&type0);
  auto t1 = model->addOperand(&type0);
  auto i6 = model->addOperand(&type0);
  auto i0 = model->addOperand(&type0);
  auto i1 = model->addOperand(&type0);
  auto t3 = model->addOperand(&type0);
  auto t4 = model->addOperand(&type0);
  auto t2 = model->addOperand(&type0);
  auto i5 = model->addOperand(&type0);
  auto i3 = model->addOperand(&type0);
  auto i4 = model->addOperand(&type0);
  auto i7 = model->addOperand(&type0);
  auto i8 = model->addOperand(&type0);
  // Phase 2, operations
  static int32_t act_init[] = {0};
  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
  static float p0_init[] = {0.0f, 1.0f};
  model->setOperandValue(p0, p0_init, sizeof(float) * 2);
  model->addOperation(ANEURALNETWORKS_ADD, {i6, p0, act}, {t5});
  model->addOperation(ANEURALNETWORKS_ADD, {p0, t5, act}, {t6});
  model->addOperation(ANEURALNETWORKS_ADD, {i0, i1, act}, {t0});
  model->addOperation(ANEURALNETWORKS_ADD, {i2, t0, act}, {t1});
  model->addOperation(ANEURALNETWORKS_ADD, {i3, i4, act}, {t2});
  model->addOperation(ANEURALNETWORKS_ADD, {t2, i5, act}, {t3});
  model->addOperation(ANEURALNETWORKS_ADD, {t1, t3, act}, {t4});
  model->addOperation(ANEURALNETWORKS_ADD, {t4, t6, act}, {o0});
  model->addOperation(ANEURALNETWORKS_ADD, {i7, i8, act}, {o1});
  model->addOperation(ANEURALNETWORKS_ADD, {o0, o1, act}, {o2});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {i2, i6, i0, i1, i5, i3, i4, i7, i8},
    {o0, o1, o2});
  assert(model->isValid());
}

bool is_ignored(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

std::vector<MixedTypedExample> examples = {
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {0.0f, 0.0f}}, {1, {0.0f, 0.0f}}, {2, {0.0f, 0.0f}}, {3, {0.0f, 0.0f}}, {4, {0.0f, 0.0f}}, {5, {0.0f, 0.0f}}, {6, {0.0f, 0.0f}}, {7, {0.0f, 0.0f}}, {8, {0.0f, 0.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {0.0f, 2.0f}}, {1, {0.0f, 0.0f}}, {2, {0.0f, 2.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
}
}, // End of an example
};

TEST_F(GeneratedTests, add_internal) {
    execute(add_internal::CreateModel,
            add_internal::is_ignored,
            add_internal::examples);
}

#include "../generated/tests/add_internal.mod.py.cpp"