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TheRock/rocm-libraries/projects/rocsparse/clients/testings/testing_csrmv_managed.cpp
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347 lines
14 KiB
C++

/*! \file */
/* ************************************************************************
* Copyright (C) 2019-2025 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 "rocsparse_enum.hpp"
#include "testing.hpp"
template <typename T>
void testing_csrmv_managed_bad_arg(const Arguments& arg)
{
// check managed memory enablement
if(!is_hmm_enabled())
{
std::puts("Managed memory not enabled on device. Skipping test...");
std::fflush(stdout);
return;
}
static const size_t safe_size = 100;
const T h_alpha = static_cast<T>(1);
const T h_beta = static_cast<T>(1);
// Create rocsparse handle
rocsparse_local_handle local_handle;
// Create matrix descriptor
rocsparse_local_mat_descr local_descr;
// Create matrix info
rocsparse_local_mat_info local_info;
rocsparse_handle handle = local_handle;
rocsparse_operation trans = rocsparse_operation_none;
rocsparse_int m = safe_size;
rocsparse_int n = safe_size;
rocsparse_int nnz = safe_size;
const T* alpha_device_host = &h_alpha;
const rocsparse_mat_descr descr = local_descr;
const T* csr_val = (const T*)0x4;
const rocsparse_int* csr_row_ptr = (const rocsparse_int*)0x4;
const rocsparse_int* csr_col_ind = (const rocsparse_int*)0x4;
rocsparse_mat_info info = local_info;
const T* x = (const T*)0x4;
const T* beta_device_host = &h_beta;
T* y = (T*)0x4;
#define PARAMS_ANALYSIS handle, trans, m, n, nnz, descr, csr_val, csr_row_ptr, csr_col_ind, info
bad_arg_analysis(rocsparse_csrmv_analysis<T>, PARAMS_ANALYSIS);
#define PARAMS \
handle, trans, m, n, nnz, alpha_device_host, descr, csr_val, csr_row_ptr, csr_col_ind, info, \
x, beta_device_host, y
{
static constexpr int num_exclusions = 1;
static constexpr int exclude_args[1] = {10};
select_bad_arg_analysis(rocsparse_csrmv<T>, num_exclusions, exclude_args, PARAMS);
}
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv_clear(nullptr, info), rocsparse_status_invalid_handle);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv_clear(handle, nullptr),
rocsparse_status_invalid_pointer);
for(auto matrix_type : rocsparse_matrix_type_t::values)
{
if(matrix_type != rocsparse_matrix_type_general
&& matrix_type != rocsparse_matrix_type_symmetric
&& matrix_type != rocsparse_matrix_type_triangular)
{
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr, matrix_type));
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv_analysis<T>(PARAMS_ANALYSIS),
rocsparse_status_not_implemented);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv<T>(PARAMS), rocsparse_status_not_implemented);
}
}
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr, rocsparse_matrix_type_general));
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr, rocsparse_storage_mode_unsorted));
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv_analysis<T>(PARAMS_ANALYSIS),
rocsparse_status_requires_sorted_storage);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrmv<T>(PARAMS), rocsparse_status_requires_sorted_storage);
#undef PARAMS_ANALYSIS
#undef PARAMS
}
template <typename T>
void testing_csrmv_managed(const Arguments& arg)
{
// check managed memory enablement
if(!is_hmm_enabled())
{
std::puts("Managed memory not enabled on device. Skipping test...");
std::fflush(stdout);
return;
}
rocsparse_int M = arg.M;
rocsparse_int N = arg.N;
rocsparse_operation trans = arg.transA;
rocsparse_index_base base = arg.baseA;
rocsparse_spmv_alg alg = arg.spmv_alg;
// Create rocsparse handle
rocsparse_local_handle handle(arg);
// Create matrix descriptor
rocsparse_local_mat_descr descr;
// Create matrix info
rocsparse_local_mat_info info_ptr;
rocsparse_mat_info info = (alg == rocsparse_spmv_alg_csr_adaptive) ? info_ptr : nullptr;
// Set matrix index base
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
// Wavefront size
int dev;
CHECK_HIP_ERROR(hipGetDevice(&dev));
hipDeviceProp_t prop;
CHECK_HIP_ERROR(hipGetDeviceProperties(&prop, dev));
bool to_int = false;
to_int |= (prop.warpSize == 32);
to_int |= (alg != rocsparse_spmv_alg_csr_rowsplit);
static constexpr bool full_rank = false;
rocsparse_matrix_factory<T> matrix_factory(arg, arg.unit_check ? to_int : false, full_rank);
// Generate matrix
host_vector<rocsparse_int> trow_ptr;
host_vector<rocsparse_int> tcol_ind;
host_vector<T> tval;
// Sample matrix
rocsparse_int nnz;
matrix_factory.init_csr(trow_ptr, tcol_ind, tval, M, N, nnz, base);
// Allocate host memory for vectors
host_vector<T> tx(N);
host_vector<T> ty(M);
// Initialize data on CPU
rocsparse_init<T>(tx, 1, N, 1, arg.convert_to_int);
rocsparse_init<T>(ty, 1, M, 1, arg.convert_to_int);
// Allocate managed memory
managed_dense_vector<rocsparse_int> csr_row_ptr(M + 1);
managed_dense_vector<rocsparse_int> csr_col_ind(nnz);
managed_dense_vector<T> csr_val(nnz);
managed_dense_vector<T> x(N);
managed_dense_vector<T> y_1(M);
managed_dense_vector<T> y_2(M);
managed_scalar<T> alpha;
managed_scalar<T> beta;
// Copy data to managed arrays
for(rocsparse_int i = 0; i < M + 1; i++)
{
csr_row_ptr[i] = trow_ptr[i];
}
for(rocsparse_int i = 0; i < nnz; i++)
{
csr_col_ind[i] = tcol_ind[i];
csr_val[i] = tval[i];
}
for(rocsparse_int i = 0; i < N; i++)
{
x[i] = tx[i];
}
for(rocsparse_int i = 0; i < M; i++)
{
y_1[i] = ty[i];
y_2[i] = ty[i];
}
*alpha = arg.get_alpha<T>();
*beta = arg.get_beta<T>();
// If adaptive, run analysis step
if(alg == rocsparse_spmv_alg_csr_adaptive)
{
CHECK_ROCSPARSE_ERROR(rocsparse_csrmv_analysis<T>(
handle, trans, M, N, nnz, descr, csr_val, csr_row_ptr, csr_col_ind, info));
}
CHECK_HIP_ERROR(hipDeviceSynchronize());
if(arg.unit_check)
{
// Pointer mode host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_csrmv<T>(handle,
trans,
M,
N,
nnz,
alpha,
descr,
csr_val,
csr_row_ptr,
csr_col_ind,
info,
x,
beta,
y_1));
// Pointer mode device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_csrmv<T>(handle,
trans,
M,
N,
nnz,
alpha,
descr,
csr_val,
csr_row_ptr,
csr_col_ind,
info,
x,
beta,
y_2));
CHECK_HIP_ERROR(hipDeviceSynchronize());
if(ROCSPARSE_REPRODUCIBILITY)
{
rocsparse_reproducibility::save(
"Y pointer mode host", y_1, "Y pointer mode device", y_2);
}
// CPU y
host_vector<T> y_gold(M);
for(rocsparse_int i = 0; i < M; i++)
{
y_gold[i] = ty[i];
}
// CPU csrmv
host_csrmv(trans,
M,
N,
nnz,
*alpha,
trow_ptr.data(),
tcol_ind.data(),
tval.data(),
tx.data(),
*beta,
y_gold.data(),
base,
rocsparse_matrix_type_general,
alg,
false);
near_check_segments<T>(M, &y_gold[0], y_1);
near_check_segments<T>(M, &y_gold[0], y_2);
}
if(arg.timing)
{
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
const double gpu_time_used = rocsparse_clients::run_benchmark(arg,
rocsparse_csrmv<T>,
handle,
trans,
M,
N,
nnz,
alpha,
descr,
csr_val,
csr_row_ptr,
csr_col_ind,
info,
x,
beta,
y_1);
double gflop_count = spmv_gflop_count(M, nnz, *beta != static_cast<T>(0));
double gbyte_count = csrmv_gbyte_count<T>(M, N, nnz, *beta != static_cast<T>(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::nnz,
nnz,
display_key_t::alpha,
*alpha,
display_key_t::beta,
*beta,
display_key_t::algorithm,
((alg == rocsparse_spmv_alg_csr_adaptive) ? "adaptive" : "stream"),
display_key_t::gflops,
gpu_gflops,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
// If adaptive, clear analysis data
if(alg == rocsparse_spmv_alg_csr_adaptive)
{
CHECK_ROCSPARSE_ERROR(rocsparse_csrmv_clear(handle, info));
}
}
#define INSTANTIATE(TYPE) \
template void testing_csrmv_managed_bad_arg<TYPE>(const Arguments& arg); \
template void testing_csrmv_managed<TYPE>(const Arguments& arg)
INSTANTIATE(float);
INSTANTIATE(double);
INSTANTIATE(rocsparse_float_complex);
INSTANTIATE(rocsparse_double_complex);
void testing_csrmv_managed_extra(const Arguments& arg) {}