/**
 * \file dnn/test/arm_common/cvt_color.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 */
#include "test/common/cvt_color.h"
#include "test/common/benchmarker.h"
#include "test/common/checker.h"

#include "test/arm_common/fixture.h"

namespace megdnn {
namespace test {

using Mode = param::CvtColor::Mode;

TEST_F(ARM_COMMON, CVTCOLOR) {
    using namespace cvt_color;
    std::vector<TestArg> args = get_args();
    Checker<CvtColor> checker(handle());

    for (auto&& arg : args) {
        checker.set_param(arg.param)
                .set_dtype(0, arg.dtype)
                .set_dtype(1, arg.dtype)
                .execs({arg.src, {}});
    }
}

#if MEGDNN_WITH_BENCHMARK
TEST_F(ARM_COMMON, BENCHMARK_CVTCOLOR_RGB2GRAY) {
    using namespace cvt_color;
    using Param = param::CvtColor;

#define BENCHMARK_PARAM(benchmarker, dtype) \
    benchmarker.set_param(param);           \
    benchmarker.set_dtype(0, dtype);

    auto run = [&](const TensorShapeArray& shapes, Param param) {
        auto handle_naive = create_cpu_handle(2);
        Benchmarker<CvtColor> benchmarker(handle());
        Benchmarker<CvtColor> benchmarker_naive(handle_naive.get());

        BENCHMARK_PARAM(benchmarker, dtype::Uint8());
        BENCHMARK_PARAM(benchmarker_naive, dtype::Uint8());
        for (auto&& shape : shapes) {
            printf("execute %s: current---naive\n", shape.to_string().c_str());
            benchmarker.execs({shape, {}});
            benchmarker_naive.execs({shape, {}});
        }

        BENCHMARK_PARAM(benchmarker, dtype::Float32());
        BENCHMARK_PARAM(benchmarker_naive, dtype::Float32());
        for (auto&& shape : shapes) {
            printf("execute %s: current---naive\n", shape.to_string().c_str());
            benchmarker.execs({shape, {}});
            benchmarker_naive.execs({shape, {}});
        }
    };

    Param param;
    TensorShapeArray shapes = {
            {1, 500, 512, 3},
            {2, 500, 512, 3},
    };

    param.mode = Param::Mode::RGB2GRAY;
    run(shapes, param);
}

TEST_F(ARM_COMMON, BENCHMARK_CVTCOLOR_BT601_YUV) {
    using namespace cvt_color;
    using Param = param::CvtColor;

#define BENCHMARK_PARAM(benchmarker, dtype) \
    benchmarker.set_param(param);           \
    benchmarker.set_dtype(0, dtype);

    auto run = [&](const TensorShapeArray& shapes, Param param) {
        auto handle_naive = create_cpu_handle(2);
        Benchmarker<CvtColor> benchmarker(handle());
        Benchmarker<CvtColor> benchmarker_naive(handle_naive.get());

        BENCHMARK_PARAM(benchmarker, dtype::Uint8());
        BENCHMARK_PARAM(benchmarker_naive, dtype::Uint8());
        for (auto&& shape : shapes) {
            printf("execute %s: current---naive\n", shape.to_string().c_str());
            benchmarker.execs({shape, {}});
            benchmarker_naive.execs({shape, {}});
        }
    };

    Param param;
    TensorShapeArray shapes = {
            {1, 300, 512, 1},
    };

    param.mode = Param::Mode::BT601_YUV2RGB_NV21;
    run(shapes, param);
}
#endif

}  // namespace test
}  // namespace megdnn
   // vim: syntax=cpp.doxygen