mirror of
https://github.com/NVIDIA/cuda-samples.git
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103 lines
3.5 KiB
C++
103 lines
3.5 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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/*
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* Demonstration of inline PTX (assembly language) usage in CUDA kernels
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*/
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// System includes
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#include <stdio.h>
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#include <assert.h>
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// CUDA runtime
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#include <cuda_runtime.h>
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#include <nvrtc_helper.h>
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// helper functions and utilities to work with CUDA
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#include <helper_functions.h>
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void sequence_cpu(int *h_ptr, int length) {
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for (int elemID = 0; elemID < length; elemID++) {
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h_ptr[elemID] = elemID % 32;
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}
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}
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int main(int argc, char **argv) {
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printf("CUDA inline PTX assembler sample\n");
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char *cubin, *kernel_file;
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size_t cubinSize;
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kernel_file = sdkFindFilePath("inlinePTX_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, "sequence_gpu"));
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const int N = 1000;
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int *h_ptr = (int *)malloc(N * sizeof(int));
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dim3 cudaBlockSize(256, 1, 1);
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dim3 cudaGridSize((N + cudaBlockSize.x - 1) / cudaBlockSize.x, 1, 1);
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CUdeviceptr d_ptr;
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checkCudaErrors(cuMemAlloc(&d_ptr, N * sizeof(int)));
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void *arr[] = {(void *)&d_ptr, (void *)&N};
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checkCudaErrors(cuLaunchKernel(kernel_addr, cudaGridSize.x, cudaGridSize.y,
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cudaGridSize.z, /* grid dim */
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cudaBlockSize.x, cudaBlockSize.y,
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cudaBlockSize.z, /* block dim */
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0, 0, /* shared mem, stream */
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&arr[0], /* arguments */
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0));
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checkCudaErrors(cuCtxSynchronize());
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sequence_cpu(h_ptr, N);
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int *h_d_ptr = (int *)malloc(N * sizeof(int));
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checkCudaErrors(cuMemcpyDtoH(h_d_ptr, d_ptr, N * sizeof(int)));
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bool bValid = true;
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for (int i = 0; i < N && bValid; i++) {
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if (h_ptr[i] != h_d_ptr[i]) {
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bValid = false;
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}
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}
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printf("Test %s.\n", bValid ? "Successful" : "Failed");
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checkCudaErrors(cuMemFree(d_ptr));
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return bValid ? EXIT_SUCCESS : EXIT_FAILURE;
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}
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