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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

410 lines
20 KiB
C++

/* ************************************************************************
* Copyright (C) 2022-2025 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_check_matrix_csr_bad_arg(const Arguments& arg)
{
rocsparse_int m = 100;
rocsparse_int n = 100;
rocsparse_int nnz = 100;
rocsparse_index_base idx_base = rocsparse_index_base_zero;
rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general;
rocsparse_fill_mode uplo = rocsparse_fill_mode_lower;
rocsparse_storage_mode storage = rocsparse_storage_mode_sorted;
// Create rocsparse handle
rocsparse_local_handle local_handle;
rocsparse_handle handle = local_handle;
const rocsparse_int* csr_row_ptr = (const rocsparse_int*)0x4;
const rocsparse_int* csr_col_ind = (const rocsparse_int*)0x4;
const T* csr_val = (const T*)0x4;
void* temp_buffer = (void*)0x4;
size_t* buffer_size = (size_t*)0x4;
rocsparse_data_status* data_status = (rocsparse_data_status*)0x4;
int nargs_to_exclude = 3;
const int args_to_exclude[3] = {4, 5, 6};
#define PARAMS_BUFFER_SIZE \
handle, m, n, nnz, csr_val, csr_row_ptr, csr_col_ind, idx_base, matrix_type, uplo, storage, \
buffer_size
#define PARAMS \
handle, m, n, nnz, csr_val, csr_row_ptr, csr_col_ind, idx_base, matrix_type, uplo, storage, \
data_status, temp_buffer
select_bad_arg_analysis(rocsparse_check_matrix_csr_buffer_size<T>,
nargs_to_exclude,
args_to_exclude,
PARAMS_BUFFER_SIZE);
select_bad_arg_analysis(
rocsparse_check_matrix_csr<T>, nargs_to_exclude, args_to_exclude, PARAMS);
#undef PARAMS_BUFFER_SIZE
#undef PARAMS
}
template <typename T>
void testing_check_matrix_csr(const Arguments& arg)
{
rocsparse_int m = arg.M;
rocsparse_int n = arg.N;
rocsparse_index_base base = arg.baseA;
rocsparse_matrix_type matrix_type = arg.matrix_type;
rocsparse_fill_mode uplo = arg.uplo;
rocsparse_storage_mode storage = arg.storage;
// Create rocsparse handle
rocsparse_local_handle handle;
rocsparse_matrix_factory<T> matrix_factory(arg);
// Allocate host memory for CSR matrix
host_vector<rocsparse_int> hcsr_row_ptr;
host_vector<rocsparse_int> hcsr_col_ind;
host_vector<T> hcsr_val;
// Generate (or load from file) CSR matrix
rocsparse_int nnz;
matrix_factory.init_csr(hcsr_row_ptr, hcsr_col_ind, hcsr_val, m, n, nnz, base);
// CSR matrix on device
device_vector<rocsparse_int> dcsr_row_ptr(hcsr_row_ptr);
device_vector<rocsparse_int> dcsr_col_ind(hcsr_col_ind);
device_vector<T> dcsr_val(hcsr_val);
size_t buffer_size;
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr_buffer_size<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&buffer_size));
void* dbuffer;
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
rocsparse_data_status data_status;
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
CHECK_ROCSPARSE_DATA_ERROR(data_status);
// Check passing shifting ptr array by large number
host_vector<rocsparse_int> hcsr_row_ptr_shifted(hcsr_row_ptr);
for(size_t i = 0; i < hcsr_row_ptr_shifted.size(); i++)
{
hcsr_row_ptr_shifted[i] += 10000;
}
device_vector<rocsparse_int> dcsr_row_ptr_shifted(hcsr_row_ptr_shifted);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr_shifted,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
CHECK_ROCSPARSE_DATA_ERROR(data_status);
if(nnz > 1 && m > 1)
{
rocsparse_int temp;
T temp_val;
rocsparse_int rng;
rocsparse_seedrand();
rng = random_generator_exact<rocsparse_int>(1, m - 1);
temp = hcsr_row_ptr[rng];
// Check passing matrix with invalid row ptr offset set to number less than zero
hcsr_row_ptr[rng] = -1;
dcsr_row_ptr.transfer_from(hcsr_row_ptr);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_offset_ptr);
// Restore offset pointer
hcsr_row_ptr[rng] = temp;
dcsr_row_ptr.transfer_from(hcsr_row_ptr);
rng = random_generator_exact<rocsparse_int>(0, nnz - 1);
temp = hcsr_col_ind[rng];
// Check passing matrix with column index set to number less than zero
hcsr_col_ind[rng] = -1;
dcsr_col_ind.transfer_from(hcsr_col_ind);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_index);
// Check passing matrix with column index set to number greater than n - 1 + base
hcsr_col_ind[rng] = (n - 1 + base) + 10;
dcsr_col_ind.transfer_from(hcsr_col_ind);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_index);
// Restore indices
hcsr_col_ind[rng] = temp;
dcsr_col_ind.transfer_from(hcsr_col_ind);
// Check passing matrix with duplicate columns
{
// Find first row with non-zeros in it
rocsparse_int row = -1;
for(size_t i = 1; i < m; i++)
{
if(hcsr_row_ptr[i + 1] - hcsr_row_ptr[i] >= 2)
{
row = i;
break;
}
}
if(row != -1)
{
rocsparse_int index = hcsr_row_ptr[row] - base + 1;
temp = hcsr_col_ind[index];
hcsr_col_ind[index] = hcsr_col_ind[hcsr_row_ptr[row] - base];
dcsr_col_ind.transfer_from(hcsr_col_ind);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_duplicate_entry);
// Restore indices
hcsr_col_ind[index] = temp;
dcsr_col_ind.transfer_from(hcsr_col_ind);
}
}
// Check passing matrix with invalid fill
if(matrix_type != rocsparse_matrix_type_general)
{
// Find first row with non-zeros in it
rocsparse_int row = -1;
for(size_t i = 1; i < m; i++)
{
if(hcsr_row_ptr[i + 1] - hcsr_row_ptr[i] > 0)
{
row = i;
break;
}
}
if(row != -1)
{
rocsparse_int index = (uplo == rocsparse_fill_mode_lower)
? hcsr_row_ptr[row + 1] - base - 1
: hcsr_row_ptr[row] - base;
temp = hcsr_col_ind[index];
hcsr_col_ind[index] = (uplo == rocsparse_fill_mode_lower) ? (n - 1 + base) : base;
dcsr_col_ind.transfer_from(hcsr_col_ind);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_fill);
// Restore indices
hcsr_col_ind[index] = temp;
dcsr_col_ind.transfer_from(hcsr_col_ind);
}
}
rng = random_generator_exact<rocsparse_int>(0, nnz - 1);
temp_val = hcsr_val[rng];
// Check passing matrix with inf value
hcsr_val[rng] = rocsparse_inf<T>();
dcsr_val.transfer_from(hcsr_val);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_inf);
// Check passing matrix with nan value
hcsr_val[rng] = rocsparse_nan<T>();
dcsr_val.transfer_from(hcsr_val);
CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csr<T>(handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer));
EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_nan);
// Restore indices
hcsr_val[rng] = temp_val;
dcsr_val.transfer_from(hcsr_val);
}
if(arg.timing)
{
const double gpu_time_used = rocsparse_clients::run_benchmark(arg,
rocsparse_check_matrix_csr<T>,
handle,
m,
n,
nnz,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
base,
matrix_type,
uplo,
storage,
&data_status,
dbuffer);
double gbyte_count = check_matrix_csr_gbyte_count<T>(m, nnz);
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::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
}
#define INSTANTIATE(TYPE) \
template void testing_check_matrix_csr_bad_arg<TYPE>(const Arguments& arg); \
template void testing_check_matrix_csr<TYPE>(const Arguments& arg)
INSTANTIATE(float);
INSTANTIATE(double);
INSTANTIATE(rocsparse_float_complex);
INSTANTIATE(rocsparse_double_complex);
void testing_check_matrix_csr_extra(const Arguments& arg) {}