the cv::cuda::transpose crash when CV_32F rows exceed 1048560

System Information

OpenCV: 4.10.0
compiler: clang 17.0.6
Platform: almalinux9
cuda sdk: 12.3

Detailed description

exception message: OpenCV(4.10.0) opencv-4.10.0/contrib/modules/cudev/include/opencv2/cudev/grid/detail/transpose.hpp:118: error: (-217:Gpu API call) invalid configuration argument in function 'transpose

Steps to reproduce

for (int i = 1048555; i <= 1048561; i += 1)
    {
        cv::Mat src(i, 4, CV_32F, cv::Scalar{2});
        cv::Mat dst;
        cv::RNG rng{};
        rng.fill(
            src,
            cv::RNG::UNIFORM,
            0,
            200
        );

        // CPU works
        cv::transpose(src, dst);

        // GPU works
        cv::cuda::GpuMat d_src(src);
        cv::cuda::GpuMat d_dst;
        cv::cuda::GpuMat d_dst2{src.cols, src.rows, src.type(), cv::Scalar{10}};
        std::cout << cv::cuda::sum(d_src) << "| " << cv::cuda::sum(d_dst2) << std::endl; 
        cv::cuda::transpose(d_src, d_dst);
        cv::cuda::transpose(d_src, d_dst2);
        std::cout << cv::cuda::sum(d_src) << "| " << cv::cuda::sum(d_dst) << "| " << cv::cuda::sum(d_dst2) << std::endl; 
        // Check results
        bool passed = cv::norm(dst - cv::Mat(d_dst), cv::NORM_INF) < 1e-3;
        bool passed2 = cv::norm(dst - cv::Mat(d_dst2), cv::NORM_INF) < 1e-3;
        std::cout<< "i=" << i << " dst without memory initalized:" << (passed ? "passed" : "FAILED") << std::endl;
        std::cout<< "i=" << i <<  "dst with memory initalized:" << (passed2 ? "passed" : "FAILED") << std::endl;

        // Deallocate data here, otherwise deallocation will be performed
        // after context is extracted from the stack
        d_src.release();
        d_dst.release();
        d_dst2.release();
        std::cout << "released\n";
    }

Issue submission checklist

• I report the issue, it's not a question
• I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
• I updated to the latest OpenCV version and the issue is still there
• There is reproducer code and related data files (videos, images, onnx, etc)

Start at contrib/modules/cudev/include/opencv2/cudev/grid/detail/transpose.hpp:118 and reproduce the failure with the supplied C++ loop using cv::cuda::transpose on CV_32F matrices around 1,048,560 rows. Done means the boundary sizes no longer raise an invalid configuration argument and both destination paths match the CPU transpose result.