TheRock/rocm-libraries/projects/rocsparse/clients/testings/testing_gtsv_no_pivot.cpp

/*! \file */
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#include "rocsparse_enum.hpp"
#include "testing.hpp"

template <typename T>
void testing_gtsv_no_pivot_bad_arg(const Arguments& arg)
{
    static const size_t safe_size = 100;

    // Create rocsparse handle
    rocsparse_local_handle local_handle;

    rocsparse_handle handle      = local_handle;
    rocsparse_int    m           = safe_size;
    rocsparse_int    n           = safe_size;
    rocsparse_int    ldb         = safe_size;
    const T*         dl          = (const T*)0x4;
    const T*         d           = (const T*)0x4;
    const T*         du          = (const T*)0x4;
    T*               B           = (T*)0x4;
    size_t*          buffer_size = (size_t*)0x4;
    void*            temp_buffer = (void*)0x4;

    int       nargs_to_exclude_solve   = 1;
    const int args_to_exclude_solve[1] = {8};

#define PARAMS_BUFFER_SIZE handle, m, n, dl, d, du, B, ldb, buffer_size
#define PARAMS_SOLVE handle, m, n, dl, d, du, B, ldb, temp_buffer

    bad_arg_analysis(rocsparse_gtsv_no_pivot_buffer_size<T>, PARAMS_BUFFER_SIZE);
    select_bad_arg_analysis(
        rocsparse_gtsv_no_pivot<T>, nargs_to_exclude_solve, args_to_exclude_solve, PARAMS_SOLVE);

    // m > 1024
    ldb = m     = 1025;
    temp_buffer = (void*)nullptr;
    EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_no_pivot<T>(PARAMS_SOLVE),
                            rocsparse_status_invalid_pointer);
    ldb = m     = safe_size;
    temp_buffer = (void*)0x4;

    // m <= 1
    m = 1;
    EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_no_pivot_buffer_size<T>(PARAMS_BUFFER_SIZE),
                            rocsparse_status_invalid_size);
    EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_no_pivot<T>(PARAMS_SOLVE),
                            rocsparse_status_invalid_size);
    m = safe_size;

    // ldb < m
    m   = 4;
    ldb = 2;
    EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_no_pivot_buffer_size<T>(PARAMS_BUFFER_SIZE),
                            rocsparse_status_invalid_size);
    EXPECT_ROCSPARSE_STATUS(rocsparse_gtsv_no_pivot<T>(PARAMS_SOLVE),
                            rocsparse_status_invalid_size);

#undef PARAMS_BUFFER_SIZE
#undef PARAMS_SOLVE
}

template <typename T>
void testing_gtsv_no_pivot(const Arguments& arg)
{
    rocsparse_int m   = arg.M;
    rocsparse_int n   = arg.N;
    int64_t       ldb = arg.denseld;

    // Create rocsparse handle
    rocsparse_local_handle handle(arg);

#define PARAMS_BUFFER_SIZE handle, m, n, ddl, dd, ddu, dB, ldb, &buffer_size
#define PARAMS_SOLVE handle, m, n, ddl, dd, ddu, dB, ldb, dbuffer

    if(ldb < m)
    {
        return;
    }

    rocsparse_seedrand();

    // Host tri-diagonal matrix
    host_vector<T> hdl(m);
    host_vector<T> hd(m);
    host_vector<T> hdu(m);

    // initialize tri-diagonal matrix
    for(rocsparse_int i = 0; i < m; ++i)
    {
        hdl[i] = random_cached_generator<T>(1, 8);
        hd[i]  = random_cached_generator<T>(17, 32);
        hdu[i] = random_cached_generator<T>(1, 8);
    }

    hdl[0]     = std::numeric_limits<T>::infinity();
    hdu[m - 1] = std::numeric_limits<T>::infinity();

    // Host dense rhs
    host_vector<T> hB(ldb * n, static_cast<T>(7));

    for(rocsparse_int j = 0; j < n; ++j)
    {
        for(rocsparse_int i = 0; i < m; ++i)
        {
            hB[j * ldb + i] = random_cached_generator<T>(-10, 10);
        }
    }

    host_vector<T> hB_original = hB;

    // Device tri-diagonal matrix
    device_vector<T> ddl(m);
    device_vector<T> dd(m);
    device_vector<T> ddu(m);

    // Device dense rhs
    device_vector<T> dB(ldb * n);

    // Copy to device
    ddl.transfer_from(hdl);
    dd.transfer_from(hd);
    ddu.transfer_from(hdu);
    dB.transfer_from(hB);

    // Obtain required buffer size
    size_t buffer_size;
    CHECK_ROCSPARSE_ERROR(rocsparse_gtsv_no_pivot_buffer_size<T>(PARAMS_BUFFER_SIZE));

    void* dbuffer;
    CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));

    if(arg.unit_check)
    {
        CHECK_ROCSPARSE_ERROR(testing::rocsparse_gtsv_no_pivot<T>(PARAMS_SOLVE));

        hB.transfer_from(dB);

        // Check
        std::vector<T> hresult(ldb * n, static_cast<T>(7));

#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
        for(rocsparse_int j = 0; j < n; j++)
        {
            hresult[ldb * j] = hd[0] * hB[ldb * j] + hdu[0] * hB[ldb * j + 1];
            hresult[ldb * j + m - 1]
                = hdl[m - 1] * hB[ldb * j + m - 2] + hd[m - 1] * hB[ldb * j + m - 1];

            for(rocsparse_int i = 1; i < m - 1; i++)
            {
                hresult[ldb * j + i] = hdl[i] * hB[ldb * j + i - 1] + hd[i] * hB[ldb * j + i]
                                       + hdu[i] * hB[ldb * j + i + 1];
            }
        }

        near_check_segments<T>(ldb * n, hB_original.data(), hresult.data());
    }

    if(arg.timing)
    {
        const double gpu_solve_time_used
            = rocsparse_clients::run_benchmark(arg, rocsparse_gtsv_no_pivot<T>, PARAMS_SOLVE);

        double gbyte_count = gtsv_gbyte_count<T>(m, n);

        double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);

        display_timing_info(display_key_t::M,
                            m,
                            display_key_t::N,
                            n,
                            display_key_t::bandwidth,
                            gpu_gbyte,
                            display_key_t::time_ms,
                            get_gpu_time_msec(gpu_solve_time_used));
    }

    // Free buffer
    CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));

#undef PARAMS_BUFFER_SIZE
#undef PARAMS_SOLVE
}

#define INSTANTIATE(TYPE)                                                    \
    template void testing_gtsv_no_pivot_bad_arg<TYPE>(const Arguments& arg); \
    template void testing_gtsv_no_pivot<TYPE>(const Arguments& arg)
INSTANTIATE(float);
INSTANTIATE(double);
INSTANTIATE(rocsparse_float_complex);
INSTANTIATE(rocsparse_double_complex);
void testing_gtsv_no_pivot_extra(const Arguments& arg) {}