// 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
// Generated from: add_internal.mod.py.
namespace add_internal {
// Generated add_internal test
#include "-"
// Generated model constructor
#include "-"
} // namespace add_internal

// Create the model
Model createTestModel() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::INT32,
            .dimensions = {},
            .numberOfConsumers = 10,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 4},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 2,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 4, .length = 8},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::TEMPORARY_VARIABLE,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {2},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::ADD,
            .inputs = {10, 4, 2},
            .outputs = {5},
        },
        {
            .type = OperationType::ADD,
            .inputs = {4, 5, 2},
            .outputs = {6},
        },
        {
            .type = OperationType::ADD,
            .inputs = {11, 12, 2},
            .outputs = {8},
        },
        {
            .type = OperationType::ADD,
            .inputs = {7, 8, 2},
            .outputs = {9},
        },
        {
            .type = OperationType::ADD,
            .inputs = {17, 18, 2},
            .outputs = {15},
        },
        {
            .type = OperationType::ADD,
            .inputs = {15, 16, 2},
            .outputs = {13},
        },
        {
            .type = OperationType::ADD,
            .inputs = {9, 13, 2},
            .outputs = {14},
        },
        {
            .type = OperationType::ADD,
            .inputs = {14, 6, 2},
            .outputs = {0},
        },
        {
            .type = OperationType::ADD,
            .inputs = {19, 20, 2},
            .outputs = {1},
        },
        {
            .type = OperationType::ADD,
            .inputs = {0, 1, 2},
            .outputs = {3},
        }
    };

    const std::vector<uint32_t> inputIndexes = {7, 10, 11, 12, 16, 17, 18, 19, 20};
    const std::vector<uint32_t> outputIndexes = {0, 1, 3};
    std::vector<uint8_t> operandValues = {
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 63
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
    };
}

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(NeuralnetworksHidlTest, add_internal) {
  generated_tests::Execute(device,
                           add_internal::createTestModel,
                           add_internal::is_ignored,
                           add_internal::examples);
}