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TheRock/rocm-libraries/projects/hipsparse/clients/include/testing_csr2hyb.hpp
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Flatten subprojects into a single base monorepo
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412 lines
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/* ************************************************************************
* Copyright (C) 2018-2025 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
#ifndef TESTING_CSR2HYB_HPP
#define TESTING_CSR2HYB_HPP
#include "display.hpp"
#include "flops.hpp"
#include "gbyte.hpp"
#include "hipsparse.hpp"
#include "hipsparse_arguments.hpp"
#include "hipsparse_test_unique_ptr.hpp"
#include "unit.hpp"
#include "utility.hpp"
#include <algorithm>
#include <hipsparse.h>
#include <string>
using namespace hipsparse;
using namespace hipsparse_test;
template <typename T>
void testing_csr2hyb_bad_arg(const Arguments& argus)
{
#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
int m = 100;
int n = 100;
int safe_size = 100;
std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
hipsparseHandle_t handle = unique_ptr_handle->handle;
std::unique_ptr<descr_struct> unique_ptr_descr(new descr_struct);
hipsparseMatDescr_t descr = unique_ptr_descr->descr;
std::unique_ptr<hyb_struct> unique_ptr_hyb(new hyb_struct);
hipsparseHybMat_t hyb = unique_ptr_hyb->hyb;
auto csr_row_ptr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
auto csr_col_ind_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
auto csr_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
int* csr_row_ptr = (int*)csr_row_ptr_managed.get();
int* csr_col_ind = (int*)csr_col_ind_managed.get();
T* csr_val = (T*)csr_val_managed.get();
verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
m,
n,
descr,
csr_val,
(int*)nullptr,
csr_col_ind,
hyb,
0,
HIPSPARSE_HYB_PARTITION_AUTO),
"Error: csr_row_ptr is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
m,
n,
descr,
csr_val,
csr_row_ptr,
(int*)nullptr,
hyb,
0,
HIPSPARSE_HYB_PARTITION_AUTO),
"Error: csr_col_ind is nullptr");
verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
m,
n,
descr,
(T*)nullptr,
csr_row_ptr,
csr_col_ind,
hyb,
0,
HIPSPARSE_HYB_PARTITION_AUTO),
"Error: csr_val is nullptr");
verify_hipsparse_status_invalid_handle(hipsparseXcsr2hyb((hipsparseHandle_t) nullptr,
m,
n,
descr,
csr_val,
csr_row_ptr,
csr_col_ind,
hyb,
0,
HIPSPARSE_HYB_PARTITION_AUTO));
#endif
}
template <typename T>
void testing_csr2hyb(Arguments argus)
{
#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
int m = argus.M;
int n = argus.N;
hipsparseIndexBase_t idx_base = argus.baseA;
hipsparseHybPartition_t part = argus.part;
int user_ell_width = argus.ell_width;
std::string filename = argus.filename;
std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
hipsparseHandle_t handle = unique_ptr_handle->handle;
std::unique_ptr<descr_struct> unique_ptr_descr(new descr_struct);
hipsparseMatDescr_t descr = unique_ptr_descr->descr;
// Set matrix index base
CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr, idx_base));
std::unique_ptr<hyb_struct> unique_ptr_hyb(new hyb_struct);
hipsparseHybMat_t hyb = unique_ptr_hyb->hyb;
srand(12345ULL);
// Host structures
std::vector<int> hcsr_row_ptr;
std::vector<int> hcsr_col_ind;
std::vector<T> hcsr_val;
// Read or construct CSR matrix
int nnz = 0;
CHECK_GENERATE_MATRIX_ERROR(
generate_csr_matrix(filename, m, n, nnz, hcsr_row_ptr, hcsr_col_ind, hcsr_val, idx_base));
if(m == 0 || n == 0)
{
return;
}
// Allocate memory on the device
auto dcsr_row_ptr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
auto dcsr_col_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * nnz), device_free};
auto dcsr_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
int* dcsr_row_ptr = (int*)dcsr_row_ptr_managed.get();
int* dcsr_col_ind = (int*)dcsr_col_ind_managed.get();
T* dcsr_val = (T*)dcsr_val_managed.get();
// Copy data from host to device
CHECK_HIP_ERROR(
hipMemcpy(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(int) * (m + 1), hipMemcpyHostToDevice));
CHECK_HIP_ERROR(
hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(int) * nnz, hipMemcpyHostToDevice));
CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_val.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
// User given ELL width check
hipsparseStatus_t status;
if(part == HIPSPARSE_HYB_PARTITION_USER)
{
// ELL width -33 means we take a reasonable pre-computed width
if(user_ell_width == -33)
{
user_ell_width = nnz / m;
}
// Test invalid user_ell_width
int max_allowed_ell_nnz_per_row = (2 * nnz - 1) / m + 1;
if(user_ell_width < 0 || user_ell_width > max_allowed_ell_nnz_per_row)
{
status = hipsparseXcsr2hyb(handle,
m,
n,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
hyb,
user_ell_width,
part);
verify_hipsparse_status_invalid_value(
status, "Error: user_ell_width < 0 || user_ell_width > max_ell_width");
return;
}
}
// Max width check
if(part == HIPSPARSE_HYB_PARTITION_MAX)
{
// Compute max ELL width
int ell_max_width = 0;
for(int i = 0; i < m; ++i)
{
ell_max_width = std::max(hcsr_row_ptr[i + 1] - hcsr_row_ptr[i], ell_max_width);
}
int width_limit = (2 * nnz - 1) / m + 1;
if(ell_max_width > width_limit)
{
status = hipsparseXcsr2hyb(handle,
m,
n,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
hyb,
user_ell_width,
part);
verify_hipsparse_status_invalid_value(status, "ell_max_width > width_limit");
return;
}
}
// Host structures for verification
std::vector<int> hhyb_ell_col_ind_gold;
std::vector<T> hhyb_ell_val_gold;
std::vector<int> hhyb_coo_row_ind_gold;
std::vector<int> hhyb_coo_col_ind_gold;
std::vector<T> hhyb_coo_val_gold;
// Host csr2hyb conversion
int ell_width = 0;
int ell_nnz = 0;
int coo_nnz = 0;
if(part == HIPSPARSE_HYB_PARTITION_AUTO || part == HIPSPARSE_HYB_PARTITION_USER)
{
if(part == HIPSPARSE_HYB_PARTITION_AUTO)
{
// ELL width is average nnz per row
ell_width = (nnz - 1) / m + 1;
}
else
{
// User given ELL width
ell_width = user_ell_width;
}
ell_nnz = ell_width * m;
// Determine COO nnz
for(int i = 0; i < m; ++i)
{
int row_nnz = hcsr_row_ptr[i + 1] - hcsr_row_ptr[i];
if(row_nnz > ell_width)
{
coo_nnz += row_nnz - ell_width;
}
}
}
else if(part == HIPSPARSE_HYB_PARTITION_MAX)
{
// Determine max nnz per row
for(int i = 0; i < m; ++i)
{
int row_nnz = hcsr_row_ptr[i + 1] - hcsr_row_ptr[i];
ell_width = (row_nnz > ell_width) ? row_nnz : ell_width;
}
ell_nnz = ell_width * m;
}
// Allocate host memory
// ELL
hhyb_ell_col_ind_gold.resize(ell_nnz);
hhyb_ell_val_gold.resize(ell_nnz);
// COO
hhyb_coo_row_ind_gold.resize(coo_nnz);
hhyb_coo_col_ind_gold.resize(coo_nnz);
hhyb_coo_val_gold.resize(coo_nnz);
// Fill HYB
host_csr2hyb(m,
nnz,
hcsr_row_ptr.data(),
hcsr_col_ind.data(),
hcsr_val.data(),
ell_width,
hhyb_ell_col_ind_gold.data(),
hhyb_ell_val_gold.data(),
hhyb_coo_row_ind_gold.data(),
hhyb_coo_col_ind_gold.data(),
hhyb_coo_val_gold.data(),
idx_base);
// Allocate verification structures
std::vector<int> hhyb_ell_col_ind(ell_nnz);
std::vector<T> hhyb_ell_val(ell_nnz);
std::vector<int> hhyb_coo_row_ind(coo_nnz);
std::vector<int> hhyb_coo_col_ind(coo_nnz);
std::vector<T> hhyb_coo_val(coo_nnz);
if(argus.unit_check)
{
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2hyb(
handle, m, n, descr, dcsr_val, dcsr_row_ptr, dcsr_col_ind, hyb, user_ell_width, part));
// Copy output from device to host
testhyb* dhyb = (testhyb*)hyb;
// Check if sizes match
unit_check_general(1, 1, 1, &m, &dhyb->m);
unit_check_general(1, 1, 1, &n, &dhyb->n);
unit_check_general(1, 1, 1, &ell_width, &dhyb->ell_width);
unit_check_general(1, 1, 1, &ell_nnz, &dhyb->ell_nnz);
unit_check_general(1, 1, 1, &coo_nnz, &dhyb->coo_nnz);
CHECK_HIP_ERROR(hipMemcpy(hhyb_ell_col_ind.data(),
dhyb->ell_col_ind,
sizeof(int) * ell_nnz,
hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
hhyb_ell_val.data(), dhyb->ell_val, sizeof(T) * ell_nnz, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hhyb_coo_row_ind.data(),
dhyb->coo_row_ind,
sizeof(int) * coo_nnz,
hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hhyb_coo_col_ind.data(),
dhyb->coo_col_ind,
sizeof(int) * coo_nnz,
hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(
hhyb_coo_val.data(), dhyb->coo_val, sizeof(T) * coo_nnz, hipMemcpyDeviceToHost));
// Unit check
unit_check_general(1, ell_nnz, 1, hhyb_ell_col_ind_gold.data(), hhyb_ell_col_ind.data());
unit_check_general(1, ell_nnz, 1, hhyb_ell_val_gold.data(), hhyb_ell_val.data());
unit_check_general(1, coo_nnz, 1, hhyb_coo_row_ind_gold.data(), hhyb_coo_row_ind.data());
unit_check_general(1, coo_nnz, 1, hhyb_coo_col_ind_gold.data(), hhyb_coo_col_ind.data());
unit_check_general(1, coo_nnz, 1, hhyb_coo_val_gold.data(), hhyb_coo_val.data());
}
if(argus.timing)
{
int number_cold_calls = 2;
int number_hot_calls = argus.iters;
// Warm up
for(int iter = 0; iter < number_cold_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2hyb(handle,
m,
n,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
hyb,
user_ell_width,
part));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2hyb(handle,
m,
n,
descr,
dcsr_val,
dcsr_row_ptr,
dcsr_col_ind,
hyb,
user_ell_width,
part));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
double gbyte_count = csr2hyb_gbyte_count<T>(m, nnz, ell_nnz, coo_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::ell_nnz,
ell_nnz,
display_key_t::coo_nnz,
coo_nnz,
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
#endif
}
#endif // TESTING_CSR2HYB_HPP