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TheRock/rocm-libraries/projects/hipsparse/clients/include/testing_bsrmv.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

566 lines
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/* ************************************************************************
* Copyright (C) 2020 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.
*
* ************************************************************************ */
#pragma once
#ifndef TESTING_BSRMV_HPP
#define TESTING_BSRMV_HPP
#include "display.hpp"
#include "flops.hpp"
#include "gbyte.hpp"
#include "hipsparse.hpp"
#include "hipsparse_arguments.hpp"
#include "hipsparse_graph.hpp"
#include "hipsparse_test_unique_ptr.hpp"
#include "unit.hpp"
#include "utility.hpp"
#include <cmath>
#include <hipsparse.h>
#include <string>
using namespace hipsparse;
using namespace hipsparse_test;
template <typename T>
void testing_bsrmv_bad_arg(const Arguments& argus)
{
#if(!defined(CUDART_VERSION))
int safe_size = 100;
int safe_dim = 2;
T alpha = make_DataType<T>(0.6);
T beta = make_DataType<T>(0.2);
hipsparseOperation_t transA = HIPSPARSE_OPERATION_NON_TRANSPOSE;
hipsparseDirection_t dirA = HIPSPARSE_DIRECTION_COLUMN;
hipsparseLocalHandle_t handle;
std::unique_ptr<descr_struct> unique_ptr_descr(new descr_struct);
hipsparseMatDescr_t descr = unique_ptr_descr->descr;
auto dptr_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
auto dcol_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
auto dx_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
auto dy_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
int* dptr = (int*)dptr_managed.get();
int* dcol = (int*)dcol_managed.get();
T* dval = (T*)dval_managed.get();
T* dx = (T*)dx_managed.get();
T* dy = (T*)dy_managed.get();
// Test hipsparseXbsrmv
verify_hipsparse_status_invalid_handle(hipsparseXbsrmv((hipsparseHandle_t) nullptr,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy));
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
(T*)nullptr,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: alpha is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
(hipsparseMatDescr_t) nullptr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: descr is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
(T*)nullptr,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: bsr_val is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
(int*)nullptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: bsr_row_ptr is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
(int*)nullptr,
safe_dim,
dx,
&beta,
dy),
"Error: bsr_col_ind is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
(T*)nullptr,
&beta,
dy),
"Error: x is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
(T*)nullptr,
dy),
"Error: beta is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
(T*)nullptr),
"Error: y is nullptr");
verify_hipsparse_status_invalid_size(hipsparseXbsrmv(handle,
dirA,
transA,
-1,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: mb is invalid");
verify_hipsparse_status_invalid_size(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
-1,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: nb is invalid");
verify_hipsparse_status_invalid_size(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
-1,
&alpha,
descr,
dval,
dptr,
dcol,
safe_dim,
dx,
&beta,
dy),
"Error: nnzb is invalid");
verify_hipsparse_status_invalid_size(hipsparseXbsrmv(handle,
dirA,
transA,
safe_size,
safe_size,
safe_size,
&alpha,
descr,
dval,
dptr,
dcol,
-1,
dx,
&beta,
dy),
"Error: block_dim is invalid");
#endif
}
template <typename T>
void testing_bsrmv(Arguments argus)
{
int m = argus.M;
int n = argus.N;
int block_dim = argus.block_dim;
T h_alpha = make_DataType<T>(argus.alpha);
T h_beta = make_DataType<T>(argus.beta);
hipsparseOperation_t transA = argus.transA;
hipsparseIndexBase_t idx_base = argus.baseA;
hipsparseDirection_t dir = argus.dirA;
std::string filename = argus.filename;
hipsparseLocalHandle_t handle(argus);
std::unique_ptr<descr_struct> unique_ptr_descr(new descr_struct);
hipsparseMatDescr_t descr = unique_ptr_descr->descr;
// Set matrix index base
CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr, idx_base));
int mb = (m + block_dim - 1) / block_dim;
int nb = (n + block_dim - 1) / block_dim;
srand(12345ULL);
// Host structures
std::vector<int> hcsr_row_ptr;
std::vector<int> hcsr_col_ind;
std::vector<T> hcsr_val;
// Read or construct CSR matrix
int nnz = 0;
CHECK_GENERATE_MATRIX_ERROR(
generate_csr_matrix(filename, m, n, nnz, hcsr_row_ptr, hcsr_col_ind, hcsr_val, idx_base));
mb = (m + block_dim - 1) / block_dim;
nb = (n + block_dim - 1) / block_dim;
std::vector<T> hx(nb * block_dim);
std::vector<T> hy_1(mb * block_dim);
std::vector<T> hy_2(mb * block_dim);
std::vector<T> hy_gold(mb * block_dim);
hipsparseInit<T>(hx, 1, nb * block_dim);
hipsparseInit<T>(hy_1, 1, mb * block_dim);
// copy vector is easy in STL; hy_gold = hx: save a copy in hy_gold which will be output of CPU
hy_2 = hy_1;
hy_gold = hy_1;
// allocate memory on device
auto dcsr_row_ptr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
auto dcsr_col_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * nnz), device_free};
auto dcsr_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
auto dbsr_row_ptr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * (mb + 1)), device_free};
auto dx_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nb * block_dim), device_free};
auto dy_1_managed
= hipsparse_unique_ptr{device_malloc(sizeof(T) * mb * block_dim), device_free};
auto dy_2_managed
= hipsparse_unique_ptr{device_malloc(sizeof(T) * mb * block_dim), device_free};
auto d_alpha_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
auto d_beta_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
int* dcsr_row_ptr = (int*)dcsr_row_ptr_managed.get();
int* dcsr_col_ind = (int*)dcsr_col_ind_managed.get();
T* dcsr_val = (T*)dcsr_val_managed.get();
int* dbsr_row_ptr = (int*)dbsr_row_ptr_managed.get();
T* dx = (T*)dx_managed.get();
T* dy_1 = (T*)dy_1_managed.get();
T* dy_2 = (T*)dy_2_managed.get();
T* d_alpha = (T*)d_alpha_managed.get();
T* d_beta = (T*)d_beta_managed.get();
// copy data from CPU to device
CHECK_HIP_ERROR(
hipMemcpy(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(int) * (m + 1), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(
hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(int) * nnz, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_val.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dx, hx.data(), sizeof(T) * n, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1.data(), sizeof(T) * m, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));
// Convert to BSR
int nnzb;
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2bsrNnz(handle,
dir,
m,
n,
descr,
dcsr_row_ptr,
dcsr_col_ind,
block_dim,
descr,
dbsr_row_ptr,
&nnzb));
auto dbsr_col_ind_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * nnzb), device_free};
auto dbsr_val_managed = hipsparse_unique_ptr{
device_malloc(sizeof(T) * nnzb * block_dim * block_dim), device_free};
int* dbsr_col_ind = (int*)dbsr_col_ind_managed.get();
T* dbsr_val = (T*)dbsr_val_managed.get();
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2bsr(handle,
dir,
m,
n,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
block_dim,
descr,
dbsr_val,
dbsr_row_ptr,
dbsr_col_ind));
if(argus.unit_check)
{
CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2.data(), sizeof(T) * m, hipMemcpyHostToDevice));
// HIPSPARSE pointer mode host
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
CHECK_HIPSPARSE_ERROR(testing::hipsparseXbsrmv<T>(handle,
dir,
transA,
mb,
nb,
nnzb,
&h_alpha,
descr,
dbsr_val,
dbsr_row_ptr,
dbsr_col_ind,
block_dim,
dx,
&h_beta,
dy_1));
// HIPSPARSE pointer mode device
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
CHECK_HIPSPARSE_ERROR(testing::hipsparseXbsrmv<T>(handle,
dir,
transA,
mb,
nb,
nnzb,
d_alpha,
descr,
dbsr_val,
dbsr_row_ptr,
dbsr_col_ind,
block_dim,
dx,
d_beta,
dy_2));
// copy output from device to CPU
CHECK_HIP_ERROR(hipMemcpy(hy_1.data(), dy_1, sizeof(T) * m, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hy_2.data(), dy_2, sizeof(T) * m, hipMemcpyDeviceToHost));
// Host bsrmv
std::vector<int> hbsr_row_ptr(mb + 1);
std::vector<int> hbsr_col_ind(nnzb);
std::vector<T> hbsr_val(nnzb * block_dim * block_dim);
CHECK_HIP_ERROR(hipMemcpy(
hbsr_row_ptr.data(), dbsr_row_ptr, sizeof(int) * (mb + 1), hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
hbsr_col_ind.data(), dbsr_col_ind, sizeof(int) * nnzb, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hbsr_val.data(),
dbsr_val,
sizeof(T) * nnzb * block_dim * block_dim,
hipMemcpyDeviceToHost));
host_bsrmv(dir,
transA,
mb,
nb,
nnzb,
h_alpha,
hbsr_row_ptr.data(),
hbsr_col_ind.data(),
hbsr_val.data(),
block_dim,
hx.data(),
h_beta,
hy_gold.data(),
idx_base);
unit_check_near(1, m, 1, hy_gold.data(), hy_1.data());
unit_check_near(1, m, 1, hy_gold.data(), hy_2.data());
}
if(argus.timing)
{
int number_cold_calls = 2;
int number_hot_calls = argus.iters;
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
// Warm up
for(int iter = 0; iter < number_cold_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(testing::hipsparseXbsrmv<T>(handle,
dir,
transA,
mb,
nb,
nnzb,
&h_alpha,
descr,
dbsr_val,
dbsr_row_ptr,
dbsr_col_ind,
block_dim,
dx,
&h_beta,
dy_1));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(testing::hipsparseXbsrmv<T>(handle,
dir,
transA,
mb,
nb,
nnzb,
&h_alpha,
descr,
dbsr_val,
dbsr_row_ptr,
dbsr_col_ind,
block_dim,
dx,
&h_beta,
dy_1));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
double gflop_count
= spmv_gflop_count(m, nnzb * block_dim * block_dim, h_beta != make_DataType<T>(0.0));
double gbyte_count
= bsrmv_gbyte_count<T>(mb, nb, nnzb, block_dim, h_beta != make_DataType<T>(0.0));
double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
m,
display_key_t::N,
n,
display_key_t::block_dim,
block_dim,
display_key_t::direction,
hipsparse_direction2string(dir),
display_key_t::alpha,
h_alpha,
display_key_t::beta,
h_beta,
display_key_t::gflops,
gpu_gflops,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
}
#endif // TESTING_BSRMV_HPP