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/* ************************************************************************
* Copyright (C) 2022-2024 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 J, typename T>
void testing_spitsv_csr_bad_arg(const Arguments& arg)
{
J m = 100;
J n = 100;
I nnz = 100;
const T local_alpha = T(0.6);
const T* alpha = &local_alpha;
rocsparse_int* host_nmaxiter = (rocsparse_int*)0x4;
const floating_data_t<T>* host_tol = (const floating_data_t<T>*)0x4;
floating_data_t<T>* host_history = (floating_data_t<T>*)0x4;
rocsparse_operation trans = rocsparse_operation_none;
rocsparse_index_base base = rocsparse_index_base_zero;
rocsparse_spitsv_alg alg = rocsparse_spitsv_alg_default;
// Index and data type
rocsparse_indextype itype = get_indextype<I>();
rocsparse_indextype jtype = get_indextype<J>();
rocsparse_datatype compute_type = get_datatype<T>();
// Create rocsparse handle
rocsparse_local_handle local_handle;
// Spitsv structures
rocsparse_local_spmat local_A(
m, n, nnz, (void*)0x4, (void*)0x4, (void*)0x4, itype, jtype, 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 = 4;
const int args_to_exclude[4] = {2, 3, 12, 13};
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;
size_t* buffer_size = &local_buffer_size;
void* temp_buffer = (void*)0x4;
#define PARAMS_BUFFER_SIZE \
handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
stage, buffer_size, temp_buffer
#define PARAMS_ANALYSIS \
handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
stage, buffer_size, temp_buffer
#define PARAMS_SOLVE \
handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
stage, buffer_size, temp_buffer
rocsparse_spitsv_stage stage = rocsparse_spitsv_stage_buffer_size;
select_bad_arg_analysis(
rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_BUFFER_SIZE);
stage = rocsparse_spitsv_stage_preprocess;
select_bad_arg_analysis(rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_ANALYSIS);
stage = rocsparse_spitsv_stage_compute;
select_bad_arg_analysis(rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_SOLVE);
#undef PARAMS_BUFFER_SIZE
#undef PARAMS_ANALYSIS
#undef PARAMS_SOLVE
}
template <typename I, typename J, typename T>
void testing_spitsv_csr(const Arguments& arg)
{
auto tol = get_near_check_tol<T>(arg);
//
// Set nmaxiter.
//
static constexpr rocsparse_int s_nmaxiter = 200;
rocsparse_int host_nmaxiter[1] = {s_nmaxiter};
//
// Tolerance for the iterative method.
//
floating_data_t<T> tol_iterative = static_cast<floating_data_t<T>>(1.0e-6);
if(std::is_same<floating_data_t<T>, double>{})
tol_iterative = static_cast<floating_data_t<T>>(1.0e-14);
floating_data_t<T> host_tol[1] = {tol_iterative};
floating_data_t<T> host_history[s_nmaxiter];
J M = arg.M;
J N = arg.N;
rocsparse_operation trans_A = arg.transA;
rocsparse_index_base base = arg.baseA;
rocsparse_spitsv_alg alg = arg.spitsv_alg;
rocsparse_diag_type diag = arg.diag;
rocsparse_fill_mode uplo = arg.uplo;
T halpha = arg.get_alpha<T>();
// Index and data type
rocsparse_indextype itype = get_indextype<I>();
rocsparse_indextype jtype = get_indextype<J>();
rocsparse_datatype ttype = get_datatype<T>();
// Create rocsparse handle
rocsparse_local_handle handle;
rocsparse_matrix_factory<T, I, J> matrix_factory(arg, false, true);
// Allocate host memory for matrix
host_vector<I> hcsr_row_ptr;
host_vector<J> hcsr_col_ind;
host_vector<T> hcsr_val;
// Sample matrix
I nnz_A;
matrix_factory.init_csr(hcsr_row_ptr, hcsr_col_ind, hcsr_val, M, N, nnz_A, base);
// Non-squared matrices are not supported
if(M != N)
{
return;
}
floating_data_t<T> mx = 0;
for(rocsparse_int i = 0; i < nnz_A; ++i)
mx = std::max(mx, std::abs(hcsr_val[i]));
if(mx > 0)
{
for(rocsparse_int i = 0; i < nnz_A; ++i)
hcsr_val[i] /= mx;
}
// 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> dcsr_row_ptr(M + 1);
device_vector<J> dcsr_col_ind(nnz_A);
device_vector<T> dcsr_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(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(I) * (M + 1), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(
hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(J) * nnz_A, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_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, dcsr_row_ptr, dcsr_col_ind, dcsr_val, itype, jtype, 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)));
// Query Spitsv buffer
size_t buffer_size;
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
&halpha,
A,
x,
y1,
ttype,
alg,
rocsparse_spitsv_stage_buffer_size,
&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_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
&halpha,
A,
x,
y1,
ttype,
alg,
rocsparse_spitsv_stage_preprocess,
nullptr,
dbuffer));
// Perform analysis on device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
dalpha,
A,
x,
y2,
ttype,
alg,
rocsparse_spitsv_stage_preprocess,
nullptr,
dbuffer));
if(arg.unit_check)
{
// Solve on host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
host_nmaxiter[0] = s_nmaxiter;
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
&halpha,
A,
x,
y1,
ttype,
alg,
rocsparse_spitsv_stage_compute,
&buffer_size,
dbuffer));
// Solve on device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_HIP_ERROR(hipMemset(dy_2, 0, sizeof(T) * M));
host_nmaxiter[0] = s_nmaxiter;
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
dalpha,
A,
x,
y2,
ttype,
alg,
rocsparse_spitsv_stage_compute,
&buffer_size,
dbuffer));
CHECK_HIP_ERROR(hipDeviceSynchronize());
// 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 csrsv
J analysis_pivot = -1;
J solve_pivot = -1;
host_csrsv<I, J, T>(trans_A,
M,
nnz_A,
halpha,
hcsr_row_ptr,
hcsr_col_ind,
hcsr_val,
hx,
(int64_t)1,
hy_gold,
diag,
uplo,
base,
&analysis_pivot,
&solve_pivot);
if(analysis_pivot == -1 && solve_pivot == -1)
{
if(ROCSPARSE_REPRODUCIBILITY)
{
rocsparse_reproducibility::save(
"Y pointe mode host", hy_1, "Y pointe mode device", hy_2);
}
hy_gold.near_check(hy_1, tol);
hy_gold.near_check(hy_2, tol);
}
}
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_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
host_nmaxiter[0] = s_nmaxiter;
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
&halpha,
A,
x,
y1,
ttype,
alg,
rocsparse_spitsv_stage_compute,
&buffer_size,
dbuffer));
}
double gpu_time_used = 0;
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
host_nmaxiter[0] = s_nmaxiter;
double gpu_time_used_iter = get_time_us();
CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
host_nmaxiter,
host_tol,
host_history,
trans_A,
&halpha,
A,
x,
y1,
ttype,
alg,
rocsparse_spitsv_stage_compute,
&buffer_size,
dbuffer));
gpu_time_used_iter = (get_time_us() - gpu_time_used_iter);
gpu_time_used += gpu_time_used_iter;
}
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 = csrsv_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_spitsvalg2string(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, JTYPE, TTYPE) \
template void testing_spitsv_csr_bad_arg<ITYPE, JTYPE, TTYPE>(const Arguments& arg); \
template void testing_spitsv_csr<ITYPE, JTYPE, TTYPE>(const Arguments& arg)
INSTANTIATE(int32_t, int32_t, float);
INSTANTIATE(int32_t, int32_t, double);
INSTANTIATE(int32_t, int32_t, rocsparse_float_complex);
INSTANTIATE(int32_t, int32_t, rocsparse_double_complex);
INSTANTIATE(int64_t, int32_t, float);
INSTANTIATE(int64_t, int32_t, double);
INSTANTIATE(int64_t, int32_t, rocsparse_float_complex);
INSTANTIATE(int64_t, int32_t, rocsparse_double_complex);
INSTANTIATE(int64_t, int64_t, float);
INSTANTIATE(int64_t, int64_t, double);
INSTANTIATE(int64_t, int64_t, rocsparse_float_complex);
INSTANTIATE(int64_t, int64_t, rocsparse_double_complex);
void testing_spitsv_csr_extra(const Arguments& arg) {}
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