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

301 lines
13 KiB
C++

/* ************************************************************************
* Copyright (C) 2020 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_NNZ_HPP
#define TESTING_NNZ_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_nnz_bad_arg(const Arguments& argus)
{
static constexpr size_t safe_size = 100;
static constexpr int M = 10;
static constexpr int N = 10;
static constexpr int lda = M;
static constexpr hipsparseDirection_t dirA = HIPSPARSE_DIRECTION_ROW;
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 descrA = unique_ptr_descr->descr;
auto A_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
auto nnzPerRowColumn_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
auto nnzTotalDevHostPtr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * 1), device_free};
T* d_A = (T*)A_managed.get();
int* d_nnzPerRowColumn = (int*)nnzPerRowColumn_managed.get();
int* d_nnzTotalDevHostPtr = (int*)nnzTotalDevHostPtr_managed.get();
#if(!defined(CUDART_VERSION))
verify_hipsparse_status_invalid_handle(hipsparseXnnz(
nullptr, dirA, M, N, descrA, (const T*)d_A, lda, d_nnzPerRowColumn, d_nnzTotalDevHostPtr));
verify_hipsparse_status_invalid_pointer(hipsparseXnnz(handle,
dirA,
M,
N,
nullptr,
(const T*)d_A,
lda,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr),
"Error: descrA as invalid pointer must be detected.");
verify_hipsparse_status_invalid_pointer(hipsparseXnnz(handle,
dirA,
M,
N,
descrA,
(const T*)nullptr,
lda,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr),
"Error: A as invalid pointer must be detected.");
verify_hipsparse_status_invalid_pointer(
hipsparseXnnz(
handle, dirA, M, N, descrA, (const T*)d_A, lda, nullptr, d_nnzTotalDevHostPtr),
"Error: nnzPerRowColumn as invalid pointer must be detected.");
verify_hipsparse_status_invalid_pointer(
hipsparseXnnz(handle, dirA, M, N, descrA, (const T*)d_A, lda, d_nnzPerRowColumn, nullptr),
"Error: nnzTotalDevHostPtr as invalid pointer must be detected.");
#endif
// Testing invalid direction
try
{
hipsparseXnnz(handle,
(hipsparseDirection_t)77,
-1,
-1,
descrA,
(const T*)nullptr,
-1,
nullptr,
nullptr);
// An exception should be thrown.
verify_hipsparse_status_internal_error(
HIPSPARSE_STATUS_SUCCESS,
"Error: an exception must be thrown from the conversion of the hipsparseDirection_t.");
}
catch(...)
{
}
verify_hipsparse_status_invalid_size(hipsparseXnnz(handle,
dirA,
-1,
N,
descrA,
(const T*)d_A,
lda,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr),
"Error: M < 0 must be detected.");
verify_hipsparse_status_invalid_size(hipsparseXnnz(handle,
dirA,
M,
-1,
descrA,
(const T*)d_A,
lda,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr),
"Error: N < 0 must be detected.");
verify_hipsparse_status_invalid_size(hipsparseXnnz(handle,
dirA,
M,
N,
descrA,
(const T*)d_A,
M - 1,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr),
"Error: lda < M must be detected.");
}
template <typename T>
void testing_nnz(Arguments argus)
{
int M = argus.M;
int N = argus.N;
int lda = argus.lda;
hipsparseDirection_t dirA = argus.dirA;
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 descrA = unique_ptr_descr->descr;
// Create the dense matrix.
int MN = (dirA == HIPSPARSE_DIRECTION_ROW) ? M : N;
auto A_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * lda * N), device_free};
auto nnzPerRowColumn_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * MN), device_free};
auto nnzTotalDevHostPtr_managed
= hipsparse_unique_ptr{device_malloc(sizeof(int) * 1), device_free};
T* d_A = (T*)A_managed.get();
int* d_nnzPerRowColumn = (int*)nnzPerRowColumn_managed.get();
int* d_nnzTotalDevHostPtr = (int*)nnzTotalDevHostPtr_managed.get();
std::vector<T> h_A(lda * N);
std::vector<int> h_nnzPerRowColumn(MN);
std::vector<int> hd_nnzPerRowColumn(MN);
std::vector<int> h_nnzTotalDevHostPtr(1);
std::vector<int> hd_nnzTotalDevHostPtr(1);
// Initialize the entire allocated memory.
for(int i = 0; i < lda; ++i)
{
for(int j = 0; j < N; ++j)
{
h_A[j * lda + i] = make_DataType<T>(-1);
}
}
// Initialize a random dense matrix.
srand(0);
gen_dense_random_sparsity_pattern(M, N, h_A.data(), lda, HIPSPARSE_ORDER_COL, 0.2);
// Transfer.
CHECK_HIP_ERROR(hipMemcpy(d_A, h_A.data(), sizeof(T) * lda * N, hipMemcpyHostToDevice));
if(argus.unit_check)
{
// Compute the reference host first.
host_nnz<T>(dirA,
M,
N,
descrA,
h_A.data(),
lda,
h_nnzPerRowColumn.data(),
h_nnzTotalDevHostPtr.data());
// Pointer mode device for nnz and call.
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
CHECK_HIPSPARSE_ERROR(hipsparseXnnz(handle,
dirA,
M,
N,
descrA,
(const T*)d_A,
lda,
d_nnzPerRowColumn,
d_nnzTotalDevHostPtr));
// Transfer.
CHECK_HIP_ERROR(hipMemcpy(
hd_nnzPerRowColumn.data(), d_nnzPerRowColumn, sizeof(int) * MN, hipMemcpyDeviceToHost));
CHECK_HIP_ERROR(hipMemcpy(hd_nnzTotalDevHostPtr.data(),
d_nnzTotalDevHostPtr,
sizeof(int) * 1,
hipMemcpyDeviceToHost));
// Check results.
unit_check_general<int>(1, MN, 1, hd_nnzPerRowColumn.data(), h_nnzPerRowColumn.data());
unit_check_general<int>(1, 1, 1, hd_nnzTotalDevHostPtr.data(), h_nnzTotalDevHostPtr.data());
// Pointer mode host for nnz and call.
int dh_nnz;
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
CHECK_HIPSPARSE_ERROR(hipsparseXnnz(
handle, dirA, M, N, descrA, (const T*)d_A, lda, d_nnzPerRowColumn, &dh_nnz));
// Transfer.
CHECK_HIP_ERROR(hipMemcpy(
hd_nnzPerRowColumn.data(), d_nnzPerRowColumn, sizeof(int) * MN, hipMemcpyDeviceToHost));
// Check results.
unit_check_general<int>(1, MN, 1, hd_nnzPerRowColumn.data(), h_nnzPerRowColumn.data());
unit_check_general<int>(1, 1, 1, &dh_nnz, h_nnzTotalDevHostPtr.data());
}
if(argus.timing)
{
int number_cold_calls = 2;
int number_hot_calls = argus.iters;
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
// Warm-up
int h_nnz;
for(int iter = 0; iter < number_cold_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(hipsparseXnnz(
handle, dirA, M, N, descrA, (const T*)d_A, lda, d_nnzPerRowColumn, &h_nnz));
}
double gpu_time_used = get_time_us();
// Performance run
for(int iter = 0; iter < number_hot_calls; ++iter)
{
CHECK_HIPSPARSE_ERROR(hipsparseXnnz(
handle, dirA, M, N, descrA, (const T*)d_A, lda, d_nnzPerRowColumn, &h_nnz));
}
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
double gbyte_count = nnz_gbyte_count<T>(M, N, dirA);
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,
lda,
display_key_t::nnz,
h_nnz,
display_key_t::direction,
hipsparse_direction2string(dirA),
display_key_t::bandwidth,
gpu_gbyte,
display_key_t::time_ms,
get_gpu_time_msec(gpu_time_used));
}
}
#endif // TESTING_NNZ_HPP