// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
// clang-format off
// Generated file (from: conv_quant8.mod.py). Do not edit
// Generated from: conv_quant8.mod.py.
namespace conv_quant8 {
// Generated conv_quant8 test
#include "-"
// Generated model constructor
#include "-"
} // namespace conv_quant8

// Create the model
Model createTestModel() {
    const std::vector<Operand> operands = {
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 3, 3, 1},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_INPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 1},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 0, .length = 16},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 16, .length = 4},
        },
        {
            .type = OperandType::INT32,
            .dimensions = {},
            .numberOfConsumers = 4,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 20, .length = 4},
        },
        {
            .type = OperandType::INT32,
            .dimensions = {},
            .numberOfConsumers = 2,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 24, .length = 4},
        },
        {
            .type = OperandType::INT32,
            .dimensions = {},
            .numberOfConsumers = 1,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::CONSTANT_COPY,
            .location = {.poolIndex = 0, .offset = 28, .length = 4},
        },
        {
            .type = OperandType::TENSOR_FLOAT32,
            .dimensions = {1, 2, 2, 1},
            .numberOfConsumers = 0,
            .scale = 0.0f,
            .zeroPoint = 0,
            .lifetime = OperandLifeTime::SUBGRAPH_OUTPUT,
            .location = {.poolIndex = 0, .offset = 0, .length = 0},
        }
    };

    const std::vector<Operation> operations = {
        {
            .type = OperationType::CONV_2D,
            .inputs = {0, 1, 2, 3, 3, 3, 3, 4, 4, 5},
            .outputs = {6},
        }
    };

    const std::vector<uint32_t> inputIndexes = {0};
    const std::vector<uint32_t> outputIndexes = {6};
    std::vector<uint8_t> operandValues = {
      0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 128, 62, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0
    };
    const std::vector<hidl_memory> pools = {};

    return {
        .operands = operands,
        .operations = operations,
        .inputIndexes = inputIndexes,
        .outputIndexes = outputIndexes,
        .operandValues = operandValues,
        .pools = pools,
        .relaxComputationFloat32toFloat16 = true,
    };
}

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, {1.0f, 1.0f, 1.0f, 1.0f, 0.5f, 1.0f, 1.0f, 1.0f, 1.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {0.875f, 0.875f, 0.875f, 0.875f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
}
}, // End of an example
};

TEST_F(NeuralnetworksHidlTest, conv_quant8) {
  generated_tests::Execute(device,
                           conv_quant8::createTestModel,
                           conv_quant8::is_ignored,
                           conv_quant8::examples);
}