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TheRock/rocm-libraries/projects/rocsparse/clients/testings/testing_csrilu0.cpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

724 lines
32 KiB
C++

/*! \file */
/* ************************************************************************
* Copyright (C) 2019-2026 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"
#include "testing_csrilu0.hpp"
template <typename T>
static void test_csrilu0_matrix(rocsparse_local_handle& handle,
rocsparse_local_mat_descr& descr,
rocsparse_local_mat_info& info,
rocsparse_int M,
host_vector<rocsparse_int>& hcsr_row_ptr,
host_vector<rocsparse_int>& hcsr_col_ind,
host_vector<T>& hcsr_val_gold,
const Arguments& arg,
bool need_display)
{
hipStream_t stream{};
CHECK_ROCSPARSE_ERROR(rocsparse_get_stream(handle, &stream));
const rocsparse_analysis_policy apol = arg.apol;
const rocsparse_solve_policy spol = arg.spol;
const rocsparse_index_base base = arg.baseA;
const int boost = arg.numericboost;
const T h_boost_val = arg.get_boostval<T>();
const T h_boost_tol = static_cast<T>(arg.boosttol);
// Sample matrix
const rocsparse_int nnz = hcsr_row_ptr[M] - hcsr_row_ptr[0];
// Allocate host memory for vectors
host_vector<T> hcsr_val_1(nnz);
host_vector<T> hcsr_val_2(nnz);
host_vector<rocsparse_int> h_analysis_pivot_1(1);
host_vector<rocsparse_int> h_analysis_pivot_2(1);
host_vector<rocsparse_int> h_analysis_pivot_gold(1);
host_vector<rocsparse_int> h_solve_pivot_1(1);
host_vector<rocsparse_int> h_solve_pivot_2(1);
host_vector<rocsparse_int> h_solve_pivot_gold(1);
host_vector<rocsparse_int> h_singular_pivot_1(1);
host_vector<rocsparse_int> h_singular_pivot_2(1);
host_vector<rocsparse_int> h_singular_pivot_gold(1);
// Allocate device memory
device_vector<rocsparse_int> dcsr_row_ptr(M + 1);
device_vector<rocsparse_int> dcsr_col_ind(nnz);
device_vector<T> dcsr_val_1(nnz);
device_vector<T> dcsr_val_2(nnz);
device_vector<rocsparse_int> d_analysis_pivot_2(1);
device_vector<rocsparse_int> d_solve_pivot_2(1);
device_vector<T> d_boost_tol(1);
device_vector<T> d_boost_val(1);
device_vector<rocsparse_int> d_singular_pivot_2(1);
// Copy data from CPU to device
CHECK_HIP_ERROR(hipMemcpy(
dcsr_row_ptr, hcsr_row_ptr, sizeof(rocsparse_int) * (M + 1), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(
hipMemcpy(dcsr_col_ind, hcsr_col_ind, sizeof(rocsparse_int) * nnz, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dcsr_val_1, hcsr_val_gold, sizeof(T) * nnz, hipMemcpyHostToDevice));
// Obtain required buffer size
size_t buffer_size = 0;
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_buffer_size<T>(
handle, M, nnz, descr, dcsr_val_1, dcsr_row_ptr, dcsr_col_ind, info, &buffer_size));
void* dbuffer = nullptr;
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
if(arg.unit_check)
{
CHECK_HIP_ERROR(hipMemcpy(d_boost_tol, &h_boost_tol, sizeof(T), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(d_boost_val, &h_boost_val, sizeof(T), hipMemcpyHostToDevice));
// Copy data from CPU to device
CHECK_HIP_ERROR(
hipMemcpy(dcsr_val_2, hcsr_val_gold, sizeof(T) * nnz, hipMemcpyHostToDevice));
// Perform analysis step
// Pointer mode host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_analysis<T>(handle,
M,
nnz,
descr,
dcsr_val_1,
dcsr_row_ptr,
dcsr_col_ind,
info,
apol,
spol,
dbuffer));
{
auto st = rocsparse_csrilu0_zero_pivot(handle, info, h_analysis_pivot_1);
EXPECT_ROCSPARSE_STATUS(st,
(h_analysis_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
: rocsparse_status_success);
}
// Sync to force updated pivots
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
// Pointer mode device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_analysis<T>(handle,
M,
nnz,
descr,
dcsr_val_2,
dcsr_row_ptr,
dcsr_col_ind,
info,
apol,
spol,
dbuffer));
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(handle, info, d_analysis_pivot_2),
(h_analysis_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
: rocsparse_status_success);
// Sync to force updated pivots
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
// Perform solve step
// Pointer mode host
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_numeric_boost<T>(
handle, info, boost, get_boost_tol(&h_boost_tol), &h_boost_val));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_csrilu0<T>(
handle, M, nnz, descr, dcsr_val_1, dcsr_row_ptr, dcsr_col_ind, info, spol, dbuffer));
{
auto st = rocsparse_csrilu0_zero_pivot(handle, info, h_solve_pivot_1);
EXPECT_ROCSPARSE_STATUS(st,
(h_solve_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
: rocsparse_status_success);
}
{
auto st = rocsparse_csrilu0_singular_pivot(handle, info, h_singular_pivot_1);
EXPECT_ROCSPARSE_STATUS(st, rocsparse_status_success);
}
// Sync to force updated pivots
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
// Pointer mode device
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_numeric_boost<T>(
handle, info, boost, get_boost_tol(d_boost_tol), d_boost_val));
CHECK_ROCSPARSE_ERROR(testing::rocsparse_csrilu0<T>(
handle, M, nnz, descr, dcsr_val_2, dcsr_row_ptr, dcsr_col_ind, info, spol, dbuffer));
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(handle, info, d_solve_pivot_2),
(h_solve_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
: rocsparse_status_success);
{
auto st = rocsparse_csrilu0_singular_pivot(handle, info, d_singular_pivot_2);
EXPECT_ROCSPARSE_STATUS(st, rocsparse_status_success);
}
// Sync to force updated pivots
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
// Copy output to host
CHECK_HIP_ERROR(hipMemcpy(hcsr_val_1, dcsr_val_1, sizeof(T) * nnz, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hcsr_val_2, dcsr_val_2, sizeof(T) * nnz, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
h_analysis_pivot_2, d_analysis_pivot_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
h_solve_pivot_2, d_solve_pivot_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
h_singular_pivot_2, d_singular_pivot_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
// CPU csrilu0
{
double tol = 0;
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_get_tolerance(handle, info, &tol));
host_csrilu0<T>(M,
hcsr_row_ptr,
hcsr_col_ind,
hcsr_val_gold,
base,
h_analysis_pivot_gold,
h_solve_pivot_gold,
h_singular_pivot_gold,
tol,
boost,
*get_boost_tol(&h_boost_tol),
h_boost_val);
}
// Check pivots
h_analysis_pivot_gold.unit_check(h_analysis_pivot_1);
h_analysis_pivot_gold.unit_check(h_analysis_pivot_2);
h_solve_pivot_gold.unit_check(h_solve_pivot_1);
h_solve_pivot_gold.unit_check(h_solve_pivot_2);
h_singular_pivot_gold.unit_check(h_singular_pivot_1);
h_singular_pivot_gold.unit_check(h_singular_pivot_2);
// Check solution vector if no pivot has been found
if(h_analysis_pivot_gold[0] == -1 && h_solve_pivot_gold[0] == -1)
{
if(ROCSPARSE_REPRODUCIBILITY)
{
rocsparse_reproducibility::save(
"P pointer mode host", hcsr_val_1, "P pointer mode device", hcsr_val_2);
}
hcsr_val_gold.near_check(hcsr_val_1);
hcsr_val_gold.near_check(hcsr_val_2);
}
else
{
if(ROCSPARSE_REPRODUCIBILITY)
{
rocsparse_reproducibility::save("Pivot analysis pointer mode host",
h_analysis_pivot_1,
"Pivot analysis pointer mode device",
h_analysis_pivot_2,
"Pivot solve pointer mode host",
h_solve_pivot_1,
"Pivot solve pointer mode device",
h_solve_pivot_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_csrilu0_analysis<T>(handle,
M,
nnz,
descr,
dcsr_val_1,
dcsr_row_ptr,
dcsr_col_ind,
info,
apol,
spol,
dbuffer));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0<T>(handle,
M,
nnz,
descr,
dcsr_val_1,
dcsr_row_ptr,
dcsr_col_ind,
info,
spol,
dbuffer));
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_clear(handle, info));
}
double gpu_analysis_time_used = get_time_us();
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_analysis<T>(handle,
M,
nnz,
descr,
dcsr_val_1,
dcsr_row_ptr,
dcsr_col_ind,
info,
apol,
spol,
dbuffer));
gpu_analysis_time_used = get_time_us() - gpu_analysis_time_used;
double gpu_solve_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0<T>(handle,
M,
nnz,
descr,
dcsr_val_1,
dcsr_row_ptr,
dcsr_col_ind,
info,
spol,
dbuffer));
}
gpu_solve_time_used = (get_time_us() - gpu_solve_time_used) / number_hot_calls;
double gbyte_count = csrilu0_gbyte_count<T>(M, nnz);
double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);
rocsparse_int pivot = -1;
if(h_analysis_pivot_1[0] == -1)
{
pivot = h_solve_pivot_1[0];
}
else if(h_solve_pivot_1[0] == -1)
{
pivot = h_analysis_pivot_1[0];
}
else
{
pivot = std::min(h_analysis_pivot_1[0], h_solve_pivot_1[0]);
}
if(need_display)
{
display_timing_info(display_key_t::M,
M,
display_key_t::nnz_A,
nnz,
display_key_t::pivot,
pivot,
display_key_t::analysis_policy,
rocsparse_analysis2string(apol),
display_key_t::solve_policy,
rocsparse_solve2string(spol),
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::analysis_time_ms,
get_gpu_time_msec(gpu_analysis_time_used),
display_key_t::time_ms,
get_gpu_time_msec(gpu_solve_time_used));
}
}
// Clear csrilu0 meta data
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_clear(handle, info));
// Free buffer
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
}
template <typename T>
void testing_csrilu0_bad_arg(const Arguments& arg)
{
static const size_t safe_size = 100;
// 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_int m = safe_size;
rocsparse_int nnz = safe_size;
const rocsparse_mat_descr descr = local_descr;
T* csr_val = (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;
rocsparse_analysis_policy analysis = rocsparse_analysis_policy_force;
rocsparse_solve_policy solve = rocsparse_solve_policy_auto;
rocsparse_solve_policy policy = rocsparse_solve_policy_auto;
size_t* buffer_size = (size_t*)0x4;
void* temp_buffer = (void*)0x4;
const T* boost_tol = (const T*)0x4;
const T* boost_val = (const T*)0x4;
#define PARAMS_BUFFER_SIZE \
handle, m, nnz, descr, csr_val, csr_row_ptr, csr_col_ind, info, buffer_size
#define PARAMS_ANALYSIS \
handle, m, nnz, descr, csr_val, csr_row_ptr, csr_col_ind, info, analysis, solve, temp_buffer
#define PARAMS handle, m, nnz, descr, csr_val, csr_row_ptr, csr_col_ind, info, policy, temp_buffer
bad_arg_analysis(rocsparse_csrilu0_buffer_size<T>, PARAMS_BUFFER_SIZE);
bad_arg_analysis(rocsparse_csrilu0_analysis<T>, PARAMS_ANALYSIS);
bad_arg_analysis(rocsparse_csrilu0<T>, PARAMS);
for(auto val : rocsparse_matrix_type_t::values)
{
if(val != rocsparse_matrix_type_general)
{
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr, val));
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_buffer_size<T>(PARAMS_BUFFER_SIZE),
rocsparse_status_not_implemented);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_analysis<T>(PARAMS_ANALYSIS),
rocsparse_status_not_implemented);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0<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_csrilu0_buffer_size<T>(PARAMS_BUFFER_SIZE),
rocsparse_status_requires_sorted_storage);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_analysis<T>(PARAMS_ANALYSIS),
rocsparse_status_requires_sorted_storage);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0<T>(PARAMS), rocsparse_status_requires_sorted_storage);
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr, rocsparse_storage_mode_sorted));
#undef PARAMS_BUFFER_SIZE
#undef PARAMS_ANALYSIS
#undef PARAMS
// Test rocsparse_csrilu0_numeric_boost()
EXPECT_ROCSPARSE_STATUS(
rocsparse_csrilu0_numeric_boost<T>(nullptr, info, 1, get_boost_tol(boost_tol), boost_val),
rocsparse_status_invalid_handle);
EXPECT_ROCSPARSE_STATUS(
rocsparse_csrilu0_numeric_boost<T>(handle, nullptr, 1, get_boost_tol(boost_tol), boost_val),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(
rocsparse_csrilu0_numeric_boost<T>(handle, info, 1, get_boost_tol((T*)nullptr), boost_val),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(
rocsparse_csrilu0_numeric_boost<T>(handle, info, 1, get_boost_tol(boost_tol), nullptr),
rocsparse_status_invalid_pointer);
// Test rocsparse_csrilu0_zero_pivot()
rocsparse_int position;
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(nullptr, info, &position),
rocsparse_status_invalid_handle);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(handle, nullptr, &position),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(handle, info, nullptr),
rocsparse_status_invalid_pointer);
// Test rocsparse_csrilu0_singular_pivot()
{
rocsparse_int position = -1;
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_singular_pivot(nullptr, info, &position),
rocsparse_status_invalid_handle);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_singular_pivot(handle, nullptr, &position),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_singular_pivot(handle, info, nullptr),
rocsparse_status_invalid_pointer);
}
// Test rocsparse_csrilu0_clear()
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_clear(nullptr, info),
rocsparse_status_invalid_handle);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_clear(handle, nullptr),
rocsparse_status_invalid_pointer);
// Additional tests for invalid zero matrices
EXPECT_ROCSPARSE_STATUS(
rocsparse_csrilu0_buffer_size<T>(
handle, safe_size, safe_size, descr, nullptr, csr_row_ptr, nullptr, info, buffer_size),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_analysis<T>(handle,
safe_size,
safe_size,
descr,
nullptr,
csr_row_ptr,
nullptr,
info,
rocsparse_analysis_policy_reuse,
rocsparse_solve_policy_auto,
temp_buffer),
rocsparse_status_invalid_pointer);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0<T>(handle,
safe_size,
safe_size,
descr,
nullptr,
csr_row_ptr,
nullptr,
info,
rocsparse_solve_policy_auto,
temp_buffer),
rocsparse_status_invalid_pointer);
}
template <typename T>
void testing_csrilu0(const Arguments& arg)
{
rocsparse_int M = arg.M;
rocsparse_int N = arg.N;
rocsparse_analysis_policy apol = arg.apol;
rocsparse_solve_policy spol = arg.spol;
rocsparse_index_base base = arg.baseA;
const bool to_int = arg.timing ? false : true;
static constexpr bool full_rank = true;
rocsparse_matrix_factory<T> matrix_factory(arg, to_int, full_rank);
// Create rocsparse handle
rocsparse_local_handle handle(arg);
// Create matrix descriptor
rocsparse_local_mat_descr descr;
// Create matrix info
rocsparse_local_mat_info info;
// Set matrix index base
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
// Argument sanity check before allocating invalid memory
if(M <= 0)
{
static const size_t safe_size = 100;
size_t buffer_size;
rocsparse_int pivot;
// Allocate memory on device
device_vector<rocsparse_int> dcsr_row_ptr(safe_size);
device_vector<rocsparse_int> dcsr_col_ind(safe_size);
device_vector<T> dcsr_val(safe_size);
device_vector<T> dbuffer(safe_size);
if(!dcsr_row_ptr || !dcsr_col_ind || !dcsr_val || !dbuffer)
{
CHECK_HIP_ERROR(hipErrorOutOfMemory);
return;
}
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_buffer_size<T>(handle,
M,
safe_size,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
info,
&buffer_size),
(M < 0) ? rocsparse_status_invalid_size : rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_analysis<T>(handle,
M,
safe_size,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
info,
apol,
spol,
dbuffer),
(M < 0) ? rocsparse_status_invalid_size : rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0<T>(handle,
M,
safe_size,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
info,
spol,
dbuffer),
(M < 0) ? rocsparse_status_invalid_size : rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_zero_pivot(handle, info, &pivot),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_csrilu0_clear(handle, info), rocsparse_status_success);
return;
}
// Allocate host memory for matrix
host_vector<rocsparse_int> hcsr_row_ptr;
host_vector<rocsparse_int> hcsr_col_ind;
host_vector<T> hcsr_val_gold;
// Sample matrix
rocsparse_int nnz;
matrix_factory.init_csr(hcsr_row_ptr, hcsr_col_ind, hcsr_val_gold, M, N, nnz, base);
{
const bool need_display = true;
test_csrilu0_matrix(
handle, descr, info, M, hcsr_row_ptr, hcsr_col_ind, hcsr_val_gold, arg, need_display);
}
}
#define INSTANTIATE(TYPE) \
template void testing_csrilu0_bad_arg<TYPE>(const Arguments& arg); \
template void testing_csrilu0<TYPE>(const Arguments& arg)
INSTANTIATE(float);
INSTANTIATE(double);
INSTANTIATE(rocsparse_float_complex);
INSTANTIATE(rocsparse_double_complex);
template <typename T>
static void testing_csrilu0_extra_template(const Arguments& arg)
{
// --------------------------------------
// diagonal matrix with zeros on diagonal
// --------------------------------------
{
rocsparse_local_handle handle;
rocsparse_local_mat_descr descr;
rocsparse_local_mat_info info;
rocsparse_index_base base = arg.baseA;
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
const int M = 4;
// ------------------
// [ 1 ]
// [ 2 ]
// [ 0 ]
// [ 0 ]
// ------------------
host_vector<rocsparse_int> hcsr_row_ptr{base, base + 1, base + 2, base + 3, base + 4};
host_vector<rocsparse_int> hcsr_col_ind{base, base + 1, base + 2, base + 3};
host_vector<T> hcsr_val{1, 2, 0, 0};
const bool need_display = false;
test_csrilu0_matrix(
handle, descr, info, M, hcsr_row_ptr, hcsr_col_ind, hcsr_val, arg, need_display);
}
// -----------------------------------
// cancellation to create a zero pivot
// -----------------------------------
{
rocsparse_local_handle handle;
rocsparse_local_mat_descr descr;
rocsparse_local_mat_info info;
rocsparse_index_base base = arg.baseA;
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
const int M = 4;
// ------------------
// [ 1 -1 ]
// [-1 1 ]
// [ 1 ]
// [ 1 ]
// ------------------
host_vector<rocsparse_int> hcsr_row_ptr{base, base + 2, base + 4, base + 5, base + 6};
host_vector<rocsparse_int> hcsr_col_ind{base, base + 1, base, base + 1, base + 2, base + 3};
host_vector<T> hcsr_val{1, -1, -1, 1, 1, 1};
const bool need_display = false;
test_csrilu0_matrix(
handle, descr, info, M, hcsr_row_ptr, hcsr_col_ind, hcsr_val, arg, need_display);
}
// -----------------------
// singular pivot
// -----------------------
{
rocsparse_local_handle handle;
rocsparse_local_mat_descr descr;
rocsparse_local_mat_info info;
rocsparse_index_base base = arg.baseA;
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
double const tol = 0.001;
CHECK_ROCSPARSE_ERROR(rocsparse_csrilu0_set_tolerance(handle, info, tol));
const int M = 4;
// ------------------
// [ 1 -1 ]
// [-1 1.0001 ]
// [ 1 ]
// [ 1 ]
// ------------------
host_vector<rocsparse_int> hcsr_row_ptr{base, base + 2, base + 4, base + 5, base + 6};
host_vector<rocsparse_int> hcsr_col_ind{base, base + 1, base, base + 1, base + 2, base + 3};
host_vector<T> hcsr_val{1, -1, -1, static_cast<T>(1 + tol / 10.0), 1, 1};
const bool need_display = false;
test_csrilu0_matrix(
handle, descr, info, M, hcsr_row_ptr, hcsr_col_ind, hcsr_val, arg, need_display);
}
}
void testing_csrilu0_extra(const Arguments& arg)
{
#define CALL_TEST(TYPE) \
{ \
testing_csrilu0_extra_template<TYPE>(arg); \
}
CALL_TEST(float);
CALL_TEST(double);
CALL_TEST(rocsparse_float_complex);
CALL_TEST(rocsparse_double_complex);
#undef CALL_TEST
}