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/* ************************************************************************
* Copyright (C) 2020-2023 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 "auto_testing_bad_arg.hpp"
template <rocsparse_format FORMAT, typename I, typename J, typename T>
struct testing_check_spmat_dispatch_traits;
//
// TRAITS FOR CSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_check_spmat_dispatch_traits<rocsparse_format_csr, I, J, T>
{
using host_sparse_matrix = host_csr_matrix<T, I, J>;
using device_sparse_matrix = device_csr_matrix<T, I, J>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix& hA,
J m,
J n,
rocsparse_index_base base,
J block_dim)
{
matrix_factory.init_csr(hA, m, n, base);
}
static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
{
double gbyte_count = check_matrix_csr_gbyte_count<T>(hA.m, hA.nnz);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
hA.m,
display_key_t::N,
hA.n,
display_key_t::nnz,
hA.nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
};
//
// TRAITS FOR CSC FORMAT.
//
template <typename I, typename J, typename T>
struct testing_check_spmat_dispatch_traits<rocsparse_format_csc, I, J, T>
{
using host_sparse_matrix = host_csc_matrix<T, I, J>;
using device_sparse_matrix = device_csc_matrix<T, I, J>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix& hA,
J m,
J n,
rocsparse_index_base base,
J block_dim)
{
matrix_factory.init_csc(hA, m, n, base);
}
static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
{
double gbyte_count = check_matrix_csc_gbyte_count<T>(hA.n, hA.nnz);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
hA.m,
display_key_t::N,
hA.n,
display_key_t::nnz,
hA.nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
};
//
// TRAITS FOR COO FORMAT.
//
template <typename I, typename T>
struct testing_check_spmat_dispatch_traits<rocsparse_format_coo, I, I, T>
{
using host_sparse_matrix = host_coo_matrix<T, I>;
using device_sparse_matrix = device_coo_matrix<T, I>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
host_sparse_matrix& hA,
I m,
I n,
rocsparse_index_base base,
I block_dim)
{
matrix_factory.init_coo(hA, m, n, base);
}
static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
{
double gbyte_count = check_matrix_coo_gbyte_count<T>(hA.nnz);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
hA.m,
display_key_t::N,
hA.n,
display_key_t::nnz,
hA.nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
};
//
// TRAITS FOR ELL FORMAT.
//
template <typename I, typename T>
struct testing_check_spmat_dispatch_traits<rocsparse_format_ell, I, I, T>
{
using host_sparse_matrix = host_ell_matrix<T, I>;
using device_sparse_matrix = device_ell_matrix<T, I>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
host_sparse_matrix& hA,
I m,
I n,
rocsparse_index_base base,
I block_dim)
{
matrix_factory.init_ell(hA, m, n, base);
}
static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
{
double gbyte_count = check_matrix_ell_gbyte_count<T>(hA.nnz);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
hA.m,
display_key_t::N,
hA.n,
display_key_t::nnz,
hA.nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
};
//
// TRAITS FOR BSR FORMAT.
//
template <typename I, typename J, typename T>
struct testing_check_spmat_dispatch_traits<rocsparse_format_bsr, I, J, T>
{
using host_sparse_matrix = host_gebsr_matrix<T, I, J>;
using device_sparse_matrix = device_gebsr_matrix<T, I, J>;
static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
host_sparse_matrix& hA,
J m,
J n,
rocsparse_index_base base,
J block_dim)
{
matrix_factory.init_gebsr(hA, m, n, block_dim, block_dim, base);
}
static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
{
double gbyte_count
= check_matrix_gebsr_gbyte_count<T>(hA.mb, hA.nnzb, hA.row_block_dim, hA.col_block_dim);
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
display_timing_info(display_key_t::M,
hA.mb * hA.row_block_dim,
display_key_t::N,
hA.nb * hA.row_block_dim,
display_key_t::Mb,
hA.mb,
display_key_t::Nb,
hA.nb,
display_key_t::bdim,
hA.row_block_dim,
display_key_t::nnzb,
hA.nnzb,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
};
template <rocsparse_format FORMAT, typename I, typename J, typename T>
struct testing_check_spmat_dispatch
{
private:
using traits = testing_check_spmat_dispatch_traits<FORMAT, I, J, T>;
using host_sparse_matrix = typename traits::host_sparse_matrix;
using device_sparse_matrix = typename traits::device_sparse_matrix;
public:
static void testing_check_spmat(const Arguments& arg)
{
J m = arg.M;
J n = arg.N;
rocsparse_index_base base = arg.baseA;
J block_dim = arg.block_dim;
rocsparse_matrix_type matrix_type = arg.matrix_type;
rocsparse_fill_mode uplo = arg.uplo;
rocsparse_storage_mode storage = arg.storage;
if(block_dim > 1)
{
m = (m + block_dim - 1) / block_dim;
n = (n + block_dim - 1) / block_dim;
}
// Create rocsparse handle
rocsparse_local_handle handle;
rocsparse_matrix_factory<T, I, J> matrix_factory(arg);
// Allocate host memory for CSR matrix
host_sparse_matrix hA;
// Generate (or load from file) CSR matrix
traits::sparse_initialization(matrix_factory, hA, m, n, base, block_dim);
// CSR matrix on device
device_sparse_matrix dA(hA);
// Create descriptor
rocsparse_local_spmat A(dA);
// Set Attributes
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(
A, rocsparse_spmat_matrix_type, &matrix_type, sizeof(matrix_type)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(
rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)),
rocsparse_status_success);
EXPECT_ROCSPARSE_STATUS(rocsparse_spmat_set_attribute(
A, rocsparse_spmat_storage_mode, &storage, sizeof(storage)),
rocsparse_status_success);
// Allocate buffer
size_t buffer_size;
rocsparse_data_status data_status;
CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
A,
&data_status,
rocsparse_check_spmat_stage_buffer_size,
&buffer_size,
nullptr));
void* dbuffer;
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
if(arg.unit_check)
{
CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
A,
&data_status,
rocsparse_check_spmat_stage_compute,
&buffer_size,
dbuffer));
CHECK_ROCSPARSE_DATA_ERROR(data_status);
}
if(arg.timing)
{
int number_cold_calls = 2;
int number_hot_calls = arg.iters;
// Warm up
for(int iter = 0; iter < number_cold_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
A,
&data_status,
rocsparse_check_spmat_stage_compute,
nullptr,
dbuffer));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
A,
&data_status,
rocsparse_check_spmat_stage_compute,
nullptr,
dbuffer));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
traits::display_info(arg, hA, gpu_time_used);
}
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
}
};
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