mirror of
https://github.com/NVIDIA/cuda-samples.git
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114 lines
3.9 KiB
C++
114 lines
3.9 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifdef _WIN32
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#define WINDOWS_LEAN_AND_MEAN
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#define NOMINMAX
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#include <windows.h>
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#else
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#include <sys/utsname.h>
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#endif
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// Includes, system
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#include <stdio.h>
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#include <cassert>
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// Includes CUDA
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#include <cuda_runtime.h>
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#include "nvrtc_helper.h"
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// Utilities and timing functions
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#include <helper_functions.h> // includes cuda.h and cuda_runtime_api.h
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const char *sampleName = "simpleAssert_nvrtc";
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////////////////////////////////////////////////////////////////////////////////
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// Auto-Verification Code
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bool testResult = true;
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////////////////////////////////////////////////////////////////////////////////
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// Declaration, forward
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void runTest(int argc, char **argv);
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////////////////////////////////////////////////////////////////////////////////
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// Program main
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////////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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printf("%s starting...\n", sampleName);
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runTest(argc, argv);
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exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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void runTest(int argc, char **argv) {
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int Nblocks = 2;
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int Nthreads = 32;
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// Kernel configuration, where a one-dimensional
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// grid and one-dimensional blocks are configured.
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dim3 dimGrid(Nblocks);
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dim3 dimBlock(Nthreads);
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printf("Launch kernel to generate assertion failures\n");
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char *cubin, *kernel_file;
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size_t cubinSize;
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kernel_file = sdkFindFilePath("simpleAssert_kernel.cu", argv[0]);
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compileFileToCUBIN(kernel_file, argc, argv, &cubin, &cubinSize, 0);
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CUmodule module = loadCUBIN(cubin, argc, argv);
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CUfunction kernel_addr;
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checkCudaErrors(cuModuleGetFunction(&kernel_addr, module, "testKernel"));
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int count = 60;
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void *args[] = {(void *)&count};
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checkCudaErrors(cuLaunchKernel(
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kernel_addr, dimGrid.x, dimGrid.y, dimGrid.z, /* grid dim */
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dimBlock.x, dimBlock.y, dimBlock.z, /* block dim */
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0, 0, /* shared mem, stream */
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&args[0], /* arguments */
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0));
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// Synchronize (flushes assert output).
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printf("\n-- Begin assert output\n\n");
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CUresult res = cuCtxSynchronize();
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printf("\n-- End assert output\n\n");
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// Check for errors and failed asserts in asynchronous kernel launch.
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if (res == CUDA_ERROR_ASSERT) {
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printf("Device assert failed as expected\n");
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}
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testResult = res == CUDA_ERROR_ASSERT;
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}
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