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

258 lines
9.4 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.
*
* ************************************************************************ */
#pragma once
#include "rocsparse.hpp"
#include "auto_testing_bad_arg.hpp"
#include "gbyte.hpp"
#include "rocsparse_check.hpp"
#include "rocsparse_host.hpp"
#include "rocsparse_init.hpp"
#include "rocsparse_math.hpp"
#include "rocsparse_random.hpp"
#include "rocsparse_test.hpp"
#include "rocsparse_vector.hpp"
#include "utility.hpp"
#include <chrono>
#include <thread>
template <rocsparse_direction DIRA, typename T>
void testing_dense2csx_bad_arg(const Arguments& arg)
{
rocsparse_local_handle local_handle;
rocsparse_local_mat_descr local_descr;
rocsparse_handle handle = local_handle;
static constexpr rocsparse_int m = 10;
static constexpr rocsparse_int n = 10;
rocsparse_mat_descr descr = local_descr;
static constexpr rocsparse_int lda = m;
const T* A = (T*)0x4;
switch(DIRA)
{
case rocsparse_direction_row:
{
T* csr_val = (T*)0x4;
rocsparse_int* csr_row_ptr = (rocsparse_int*)0x4;
rocsparse_int* csr_col_ind = (rocsparse_int*)0x4;
const rocsparse_int* nnz_per_rows = (const rocsparse_int*)0x4;
bad_arg_analysis(rocsparse_dense2csr<T>,
handle,
m,
n,
descr,
A,
lda,
nnz_per_rows,
csr_val,
csr_row_ptr,
csr_col_ind);
EXPECT_ROCSPARSE_STATUS(
rocsparse_dense2csr<T>(
handle, m, n, descr, A, m - 1, nnz_per_rows, csr_val, csr_row_ptr, csr_col_ind),
rocsparse_status_invalid_size);
break;
}
case rocsparse_direction_column:
{
T* csc_val = (T*)0x4;
rocsparse_int* csc_col_ptr = (rocsparse_int*)0x4;
rocsparse_int* csc_row_ind = (rocsparse_int*)0x4;
const rocsparse_int* nnz_per_columns = (const rocsparse_int*)0x4;
bad_arg_analysis(rocsparse_dense2csc<T>,
handle,
m,
n,
descr,
A,
lda,
nnz_per_columns,
csc_val,
csc_col_ptr,
csc_row_ind);
EXPECT_ROCSPARSE_STATUS(
rocsparse_dense2csc<T>(
handle, m, n, descr, A, m - 1, nnz_per_columns, csc_val, csc_col_ptr, csc_row_ind),
rocsparse_status_invalid_size);
break;
}
}
}
template <rocsparse_direction DIRA, typename T, typename FUNC>
void testing_dense2csx(const Arguments& arg, FUNC& dense2csx)
{
static constexpr rocsparse_direction direction = DIRA;
rocsparse_int M = arg.M;
rocsparse_int N = arg.N;
rocsparse_int LD = arg.denseld;
rocsparse_index_base baseA = arg.baseA;
rocsparse_int DIMDIR = (rocsparse_direction_row == DIRA) ? M : N;
rocsparse_local_handle handle;
rocsparse_local_mat_descr descr;
CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, baseA));
//
// Allocate memory.
//
host_vector<T> h_dense_val(LD * N);
device_vector<T> d_dense_val(LD * N);
host_vector<rocsparse_int> h_nnz_per_row_columns(DIMDIR);
device_vector<rocsparse_int> d_nnz_per_row_columns(DIMDIR);
//
// Initialize the dense matrix.
//
{
//
// Initialize the random generator.
//
rocsparse_seedrand();
//
// Initialize the entire allocated memory.
//
for(rocsparse_int j = 0; j < N; ++j)
{
for(rocsparse_int i = 0; i < LD; ++i)
{
h_dense_val[j * LD + i] = -1;
}
}
//
// Random initialization of the matrix.
//
for(rocsparse_int j = 0; j < N; ++j)
{
for(rocsparse_int i = 0; i < M; ++i)
{
h_dense_val[j * LD + i] = random_cached_generator<T>(0, 4);
}
}
}
//
// Transfer.
//
CHECK_HIP_ERROR(hipMemcpy(d_dense_val, h_dense_val, sizeof(T) * LD * N, hipMemcpyHostToDevice));
rocsparse_int nnz;
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
CHECK_ROCSPARSE_ERROR(rocsparse_nnz<T>(
handle, direction, M, N, descr, d_dense_val, LD, d_nnz_per_row_columns, &nnz));
//
// Transfer.
//
CHECK_HIP_ERROR(hipMemcpy(h_nnz_per_row_columns,
d_nnz_per_row_columns,
sizeof(rocsparse_int) * DIMDIR,
hipMemcpyDeviceToHost));
device_vector<rocsparse_int> d_csx_row_col_ptr(DIMDIR + 1);
device_vector<T> d_csx_val(nnz);
device_vector<rocsparse_int> d_csx_col_row_ind(nnz);
host_vector<rocsparse_int> cpu_csx_row_col_ptr(DIMDIR + 1);
host_vector<T> cpu_csx_val(nnz);
host_vector<rocsparse_int> cpu_csx_col_row_ind(nnz);
if(arg.unit_check)
{
//
// Compute the reference host first.
//
host_dense2csx<DIRA, T>(M,
N,
rocsparse_get_mat_index_base(descr),
h_dense_val,
LD,
rocsparse_order_column,
(const rocsparse_int*)h_nnz_per_row_columns,
(T*)cpu_csx_val,
(rocsparse_int*)cpu_csx_row_col_ptr,
(rocsparse_int*)cpu_csx_col_row_ind);
CHECK_ROCSPARSE_ERROR(dense2csx(handle,
M,
N,
descr,
d_dense_val,
LD,
d_nnz_per_row_columns,
(T*)d_csx_val,
(rocsparse_int*)d_csx_row_col_ptr,
(rocsparse_int*)d_csx_col_row_ind));
cpu_csx_row_col_ptr.unit_check(d_csx_row_col_ptr);
cpu_csx_col_row_ind.unit_check(d_csx_col_row_ind);
cpu_csx_val.unit_check(d_csx_val);
}
if(arg.timing)
{
const double gpu_time_used = rocsparse_clients::run_benchmark(arg,
dense2csx,
handle,
M,
N,
descr,
d_dense_val,
LD,
d_nnz_per_row_columns,
(T*)d_csx_val,
d_csx_row_col_ptr,
d_csx_col_row_ind);
double gbyte_count = dense2csx_gbyte_count<DIRA, T>(M, N, 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::LD,
LD,
display_key_t::nnz,
nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
}