-- PROPERTY : CUDA_ARCHITECTURES -- PROPERTY : CUDA_EXTENSIONS -- PROPERTY : CUDA_PTX_COMPILATION -- PROPERTY : CUDA_RESOLVE_DEVICE_SYMBOLS -- PROPERTY : CUDA_RUNTIME_LIBRARY -- PROPERTY : CUDA_SEPARABLE_COMPILATION -- PROPERTY : CUDA_STANDARD -- PROPERTY : CUDA_STANDARD_REQUIRED -- PROPERT...
cudaDeviceReset(); } cudaTest.h: /*cudaTest.h*/ #ifndef CUDATEST_H #define CUDATEST_H #include "cuda_runtime.h" #include "device_launch_parameters.h" #include <stdio.h> void print_hello(void); #endif 这样写是将cudaTest作为library链接到main 需要在cudaTest目录中加CMakeLists.txt然后主...
(1) 去官网下载相应的版本,因为电脑之前安装的是CUDA8.0,找跟 CUDA 版本兼容的cuDNN下载即可。 我选择的是cuDNN v7.1.4Runtime LibraryforUbuntu16.04(Deb)和cuDNN v7.1.4Developer LibraryforUbuntu16.04(Deb) 注意这里下载安装包時需要帐号登陆才可以。 (2) 根据教程安装,主要步骤摘录如下 (3) 不过到这里先...
nvidia-oss/cmake/FindCUDA.cmake Go to file Copy path 164 lines (124 sloc)4.4 KB RawBlame # #Try to find CUDA compiler, runtime libraries, and include path. #Once done this will define # #CUDA_FOUND #CUDA_INCLUDE_PATH #CUDA_RUNTIME_LIBRARY ...
RTX3050 用CUDA11.6就不行了,发现是驱动NVIDIA-525合适,CUDA12.0,OpenCV4.7.0。之前从software&update安装适配的驱动是可以的,但后面随着官方更新,已经搜不到525驱动了。只能通过run文件方式安装旧驱动,然后再完善相关的CUDA和CUDNN 显卡基本信息 一、卸载
#include "cuda_runtime.h" #include "device_launch_parameters.h" extern "C" void f(); kernel.cu: #include "header.cuh" void __global__ print() { int idx = blockIdx.x * blockDim.x + threadIdx.x; printf("%d\n", idx);
# ${CUDA_RUNTIME_LIBRARY} # nvonnxparser # nvinfer # pointpillars # ${CUDA_LIB_PATH}libcudart.so # #pointpillarsCU # ) #file(GLOB PointPillarLibs ${PROJECT_SOURCE_DIR}/nodes/**) ##file(GLOB PointPillarCU ${PROJECT_SOURCE_DIR}/nodes/**cu) ...
# so that the static cuda runtimecanfind it at runtime. set_property(TARGET particle_test PROPERTY BUILD_RPATH ${CMAKE_CUDA_IMPLICIT_LINK_DIRECTORIES}) endif() 在我完成清单 1 所示的所有逻辑和特性之前,让我们先跳过构建。如果您使用 VisualStudio ,则需要使用 CGuess 3 . 9 和 VisualStudio CUDA...
Expand Up@@ -82,9 +82,6 @@ #error"Insufficient Cuda Runtime library version, please update it." #endif #ifdefined(CUDA_ARCH_BIN_OR_PTX_10) #error"OpenCV CUDA module doesn't support NVIDIA compute capability 1.0" #endif #endif //! @cond IGNORED Expand Down...
第一个是应用 CMake 脚本语言的相关知识实现了一个快速排序算法程序。第二个是基于onnxruntime 第三方...