opencv/modules/cuda/perf/perf_buffer_pool.cpp

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#include "perf_precomp.hpp"

#ifdef HAVE_CUDA

#include "opencv2/cudaarithm.hpp"
#include "opencv2/core/private.cuda.hpp"

using namespace testing;
using namespace perf;
using namespace cv;
using namespace cv::cuda;

namespace
{
    void func1(const GpuMat& src, GpuMat& dst, Stream& stream)
    {
        BufferPool pool(stream);

        GpuMat buf = pool.getBuffer(src.size(), CV_32FC(src.channels()));

        src.convertTo(buf, CV_32F, 1.0 / 255.0, stream);

        cuda::exp(buf, dst, stream);
    }

    void func2(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
    {
        BufferPool pool(stream);

        GpuMat buf1 = pool.getBuffer(src1.size(), CV_32FC(src1.channels()));

        func1(src1, buf1, stream);

        GpuMat buf2 = pool.getBuffer(src2.size(), CV_32FC(src2.channels()));

        func1(src2, buf2, stream);

        cuda::add(buf1, buf2, dst, noArray(), -1, stream);
    }
}

PERF_TEST_P(Sz, BufferPool, CUDA_TYPICAL_MAT_SIZES)
{
    static bool first = true;

    const Size size = GetParam();

    const bool useBufferPool = PERF_RUN_CUDA();

    Mat host_src(size, CV_8UC1);
    declare.in(host_src, WARMUP_RNG);

    GpuMat src1(host_src), src2(host_src);
    GpuMat dst;

    setBufferAllocatorUsage(useBufferPool);
    if (useBufferPool && first)
    {
        allocateMemoryPool(-1, 25 * 1024 * 1024, 2);
        first = false;
    }

    TEST_CYCLE()
    {
        func2(src1, src2, dst, Stream::Null());
    }

    Mat h_dst(dst);
    SANITY_CHECK(h_dst);
}

#endif