mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-28 23:39:18 +08:00
65 lines
2.5 KiB
C
65 lines
2.5 KiB
C
|
/* Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
|
||
|
|
*
|
||
|
|
* Redistribution and use in source and binary forms, with or without
|
||
|
|
* modification, are permitted provided that the following conditions
|
||
|
|
* are met:
|
||
|
|
* * Redistributions of source code must retain the above copyright
|
||
|
|
* notice, this list of conditions and the following disclaimer.
|
||
|
|
* * Redistributions in binary form must reproduce the above copyright
|
||
|
|
* notice, this list of conditions and the following disclaimer in the
|
||
|
|
* documentation and/or other materials provided with the distribution.
|
||
|
|
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
||
|
|
* contributors may be used to endorse or promote products derived
|
||
|
|
* from this software without specific prior written permission.
|
||
|
|
*
|
||
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
||
|
|
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||
|
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||
|
|
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
||
|
|
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
||
|
|
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
||
|
|
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
||
|
|
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
||
|
|
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||
|
|
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||
|
|
*/
|
||
|
|
|
||
|
|
#pragma once
|
||
|
|
|
||
|
|
#include <cuda_runtime.h>
|
||
|
|
#include <cstdio>
|
||
|
|
#include <cstdlib>
|
||
|
|
|
||
|
|
// Macro for checking cuda errors following a cuda launch or api call
|
||
|
|
#define CUDA_CHECK(ans) \
|
||
|
|
{ \
|
||
|
|
gpuAssert((ans), __FILE__, __LINE__); \
|
||
|
|
}
|
||
|
|
|
||
|
|
inline void gpuAssert(cudaError_t code, const char *file, int line)
|
||
|
|
{
|
||
|
|
if (code != cudaSuccess)
|
||
|
|
{
|
||
|
|
fprintf(stderr, "CUDA error: %s %s %d\n", cudaGetErrorString(code), file,
|
||
|
|
line);
|
||
|
|
exit(code);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
|
||
|
|
// Macro to report cuda errors following a cuda launch or api call
|
||
|
|
#define CUDA_REPORT(ans) \
|
||
|
|
{ \
|
||
|
|
gpuReport((ans), __FILE__, __LINE__); \
|
||
|
|
}
|
||
|
|
|
||
|
|
inline void gpuReport(cudaError_t code, const char *file, int line)
|
||
|
|
{
|
||
|
|
if (code != cudaSuccess)
|
||
|
|
{
|
||
|
|
fprintf(stderr, "CUDA error: %s %s %d\n", cudaGetErrorString(code), file,
|
||
|
|
line);
|
||
|
|
}
|
||
|
|
}
|