File: testing_spsv_coo.cpp

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rocsparse 6.4.3-3
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/* ************************************************************************
* Copyright (C) 2021-2024 Advanced Micro Devices, Inc. All rights Reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*
* ************************************************************************ */

#include "testing.hpp"

template <typename I, typename T>
void testing_spsv_coo_bad_arg(const Arguments& arg)
{
    I        m           = 100;
    I        n           = 100;
    I        nnz         = 100;
    const T  local_alpha = T(0.6);
    const T* alpha       = &local_alpha;

    rocsparse_operation  trans = rocsparse_operation_none;
    rocsparse_index_base base  = rocsparse_index_base_zero;
    rocsparse_spsv_alg   alg   = rocsparse_spsv_alg_default;

    // Index and data type
    rocsparse_indextype itype        = get_indextype<I>();
    rocsparse_datatype  compute_type = get_datatype<T>();

    // Create rocsparse handle
    rocsparse_local_handle local_handle;

    // SpSV structures
    rocsparse_local_spmat local_A(
        m, n, nnz, (void*)0x4, (void*)0x4, (void*)0x4, itype, base, compute_type);
    rocsparse_local_dnvec local_x(m, (void*)0x4, compute_type);
    rocsparse_local_dnvec local_y(m, (void*)0x4, compute_type);

    int       nargs_to_exclude   = 2;
    const int args_to_exclude[2] = {9, 10};

    rocsparse_handle      handle = local_handle;
    rocsparse_spmat_descr mat    = local_A;
    rocsparse_dnvec_descr x      = local_x;
    rocsparse_dnvec_descr y      = local_y;

    size_t  local_buffer_size = 100;
    size_t* buffer_size       = &local_buffer_size;
    void*   temp_buffer       = (void*)0x4;

    rocsparse_spsv_stage stage;

#define PARAMS_BUFFER_SIZE \
    handle, trans, alpha, mat, x, y, compute_type, alg, stage, buffer_size, temp_buffer

#define PARAMS_ANALYSIS \
    handle, trans, alpha, mat, x, y, compute_type, alg, stage, buffer_size, temp_buffer

#define PARAMS_SOLVE \
    handle, trans, alpha, mat, x, y, compute_type, alg, stage, buffer_size, temp_buffer

    stage = rocsparse_spsv_stage_buffer_size;
    select_bad_arg_analysis(rocsparse_spsv, nargs_to_exclude, args_to_exclude, PARAMS_BUFFER_SIZE);

    stage = rocsparse_spsv_stage_preprocess;
    select_bad_arg_analysis(rocsparse_spsv, nargs_to_exclude, args_to_exclude, PARAMS_ANALYSIS);

    stage = rocsparse_spsv_stage_compute;
    select_bad_arg_analysis(rocsparse_spsv, nargs_to_exclude, args_to_exclude, PARAMS_SOLVE);

#undef PARAMS_BUFFER_SIZE
#undef PARAMS_ANALYSIS
#undef PARAMS_SOLVE
}

template <typename I, typename T>
void testing_spsv_coo(const Arguments& arg)
{
    I                     M           = arg.M;
    I                     N           = arg.N;
    rocsparse_operation   trans_A     = arg.transA;
    rocsparse_index_base  base        = arg.baseA;
    rocsparse_spsv_alg    alg         = arg.spsv_alg;
    rocsparse_diag_type   diag        = arg.diag;
    rocsparse_fill_mode   uplo        = arg.uplo;
    rocsparse_matrix_type matrix_type = arg.matrix_type;

    rocsparse_spsv_stage buffersize = rocsparse_spsv_stage_buffer_size;
    rocsparse_spsv_stage preprocess = rocsparse_spsv_stage_preprocess;
    rocsparse_spsv_stage compute    = rocsparse_spsv_stage_compute;

    T halpha = arg.get_alpha<T>();

    // Index and data type
    rocsparse_indextype itype = get_indextype<I>();
    rocsparse_datatype  ttype = get_datatype<T>();

    // Create rocsparse handle
    rocsparse_local_handle handle(arg);

    rocsparse_matrix_factory<T, I, I> matrix_factory(arg);

    // Allocate host memory for matrix
    host_vector<I> hcoo_row_ind;
    host_vector<I> hcoo_col_ind;
    host_vector<T> hcoo_val;

    // Sample matrix
    int64_t nnz_A;
    matrix_factory.init_coo(hcoo_row_ind, hcoo_col_ind, hcoo_val, M, N, nnz_A, base);

    // Non-squared matrices are not supported
    if(M != N)
    {
        return;
    }

    // Allocate host memory for vectors
    host_vector<T> hx(M);
    host_vector<T> hy_1(M);
    host_vector<T> hy_2(M);
    host_vector<T> hy_gold(M);

    // Initialize data on CPU
    rocsparse_init<T>(hx, M, 1, 1);
    rocsparse_init<T>(hy_1, M, 1, 1);

    hy_2    = hy_1;
    hy_gold = hy_1;

    // Allocate device memory
    device_vector<I> dcoo_row_ind(nnz_A);
    device_vector<I> dcoo_col_ind(nnz_A);
    device_vector<T> dcoo_val(nnz_A);
    device_vector<T> dx(M);
    device_vector<T> dy_1(M);
    device_vector<T> dy_2(M);
    device_vector<T> dalpha(1);

    // Copy data from CPU to device
    CHECK_HIP_ERROR(
        hipMemcpy(dcoo_row_ind, hcoo_row_ind.data(), sizeof(I) * nnz_A, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(
        hipMemcpy(dcoo_col_ind, hcoo_col_ind.data(), sizeof(I) * nnz_A, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dcoo_val, hcoo_val.data(), sizeof(T) * nnz_A, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dx, hx, sizeof(T) * M, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1, sizeof(T) * M, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2, sizeof(T) * M, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice));

    // Create descriptors
    rocsparse_local_spmat A(M, N, nnz_A, dcoo_row_ind, dcoo_col_ind, dcoo_val, itype, base, ttype);
    rocsparse_local_dnvec x(M, dx, ttype);
    rocsparse_local_dnvec y1(M, dy_1, ttype);
    rocsparse_local_dnvec y2(M, dy_2, ttype);

    CHECK_ROCSPARSE_ERROR(
        rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)));

    CHECK_ROCSPARSE_ERROR(
        rocsparse_spmat_set_attribute(A, rocsparse_spmat_diag_type, &diag, sizeof(diag)));

    CHECK_ROCSPARSE_ERROR(rocsparse_spmat_set_attribute(
        A, rocsparse_spmat_matrix_type, &matrix_type, sizeof(matrix_type)));

    // Query SpSV buffer
    size_t buffer_size;
    CHECK_ROCSPARSE_ERROR(rocsparse_spsv(
        handle, trans_A, &halpha, A, x, y1, ttype, alg, buffersize, &buffer_size, nullptr));

    // Allocate buffer
    void* dbuffer;
    CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));

    // Perform analysis on host
    CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
    CHECK_ROCSPARSE_ERROR(rocsparse_spsv(
        handle, trans_A, &halpha, A, x, y1, ttype, alg, preprocess, nullptr, dbuffer));

    // Perform analysis on device
    CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
    CHECK_ROCSPARSE_ERROR(rocsparse_spsv(
        handle, trans_A, dalpha, A, x, y2, ttype, alg, preprocess, nullptr, dbuffer));

    if(arg.unit_check)
    {
        // Solve on host
        CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
        CHECK_ROCSPARSE_ERROR(testing::rocsparse_spsv(
            handle, trans_A, &halpha, A, x, y1, ttype, alg, compute, &buffer_size, dbuffer));

        // Solve on device
        CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
        CHECK_ROCSPARSE_ERROR(testing::rocsparse_spsv(
            handle, trans_A, dalpha, A, x, y2, ttype, alg, compute, &buffer_size, dbuffer));

        CHECK_HIP_ERROR(hipDeviceSynchronize());

        if(ROCSPARSE_REPRODUCIBILITY)
        {
            rocsparse_reproducibility::save(
                "Y pointer mode host", dy_1, "Y pointer mode device", dy_2);
        }

        // Copy output to host
        CHECK_HIP_ERROR(hipMemcpy(hy_1, dy_1, sizeof(T) * M, hipMemcpyDeviceToHost));
        CHECK_HIP_ERROR(hipMemcpy(hy_2, dy_2, sizeof(T) * M, hipMemcpyDeviceToHost));

        // CPU coosv
        I analysis_pivot = -1;
        I solve_pivot    = -1;
        host_coosv(trans_A,
                   M,
                   nnz_A,
                   halpha,
                   hcoo_row_ind.data(),
                   hcoo_col_ind.data(),
                   hcoo_val.data(),
                   hx.data(),
                   hy_gold.data(),
                   diag,
                   uplo,
                   base,
                   &analysis_pivot,
                   &solve_pivot);

        if(analysis_pivot == -1 && solve_pivot == -1)
        {
            hy_gold.near_check(hy_1);
            hy_gold.near_check(hy_2);
        }
    }

    if(arg.timing)
    {
        int number_cold_calls = 2;
        int number_hot_calls  = arg.iters;

        CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));

        // Warm up
        for(int iter = 0; iter < number_cold_calls; ++iter)
        {
            CHECK_ROCSPARSE_ERROR(rocsparse_spsv(
                handle, trans_A, &halpha, A, x, y1, ttype, alg, compute, &buffer_size, dbuffer));
        }

        double gpu_time_used = get_time_us();

        // Performance run
        for(int iter = 0; iter < number_hot_calls; ++iter)
        {
            CHECK_ROCSPARSE_ERROR(rocsparse_spsv(
                handle, trans_A, &halpha, A, x, y1, ttype, alg, compute, &buffer_size, dbuffer));
        }

        gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;

        double gflop_count = spsv_gflop_count(M, nnz_A, diag);
        double gpu_gflops  = get_gpu_gflops(gpu_time_used, gflop_count);

        double gbyte_count = coosv_gbyte_count<T>(M, nnz_A);
        double gpu_gbyte   = get_gpu_gbyte(gpu_time_used, gbyte_count);

        display_timing_info(display_key_t::M,
                            M,
                            display_key_t::nnz_A,
                            nnz_A,
                            display_key_t::alpha,
                            halpha,
                            display_key_t::algorithm,
                            rocsparse_spsvalg2string(alg),
                            display_key_t::gflops,
                            gpu_gflops,
                            display_key_t::bandwidth,
                            gpu_gbyte,
                            display_key_t::time_ms,
                            get_gpu_time_msec(gpu_time_used));
    }

    CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
}

#define INSTANTIATE(ITYPE, TTYPE)                                               \
    template void testing_spsv_coo_bad_arg<ITYPE, TTYPE>(const Arguments& arg); \
    template void testing_spsv_coo<ITYPE, TTYPE>(const Arguments& arg)

INSTANTIATE(int32_t, float);
INSTANTIATE(int32_t, double);
INSTANTIATE(int32_t, rocsparse_float_complex);
INSTANTIATE(int32_t, rocsparse_double_complex);
INSTANTIATE(int64_t, float);
INSTANTIATE(int64_t, double);
INSTANTIATE(int64_t, rocsparse_float_complex);
INSTANTIATE(int64_t, rocsparse_double_complex);
void testing_spsv_coo_extra(const Arguments& arg) {}