针对你遇到的“could not find cuda (missing: cuda_nvcc_executable cuda_include_dirs cuda_cudart_library)”错误,这通常意味着在编译或配置过程中,系统无法找到CUDA的安装路径或相关的可执行文件、头文件目录和库文件。以下是一些可能的解决步骤: 确认CUDA是否已正确安装: 你可以在命令行中输入nvcc --version来...
# include“cuda_runtime.h” 解决办法 显然,该问题是因为路径下不存在该文件, T1、重新安装或下载GPU加速的cuda文件,cuda_runtime.h到指定文件夹即可, T2、如果你使用CMake命令,可以直接 find_package(CUDA REQUIRED) include_directories("${CUDA_INCLUDE_DIRS}") T3、也可以查看stackflow上的回答,按照下边的...
# include“cuda_runtime.h” 解决办法 显然,该问题是因为路径下不存在该文件, T1、重新安装或下载GPU加速的cuda文件,cuda_runtime.h到指定文件夹即可, T2、如果你使用CMake命令,可以直接 find_package(CUDA REQUIRED) include_directories("${CUDA_INCLUDE_DIRS}") T3、也可以查看stackflow上的回答,按照下边的...
问在最新的CMAKE中找不到CUDA_INCLUDE_DIRSENProtobuf是google开发的一个序列化和反序列化的协议库，我...
Solution to issue cannot be found in the documentation. I checked the documentation. Issue This is a followup to conda-forge/cuda-nvcc-feedstock#56 and #58. Unlike the other two issues, all packages have been installed using the conda-fo...
#include_directories:该命令为工程添加include路径,就是头文件的查询路径(就是告诉编译器头文件在哪) include_directories(${PROJECT_BINARY_DIR}) # ---[ Includes & defines for CUDA # cuda_compile() does not have per-call dependencies or include pathes ...
CUDA directory contains bin/ and lib/ directories that we need. CUDA_DIR := /usr/local/cuda On Ubuntu 14.04, if cuda tools are installed via "sudo apt-get install nvidia-cuda-toolkit" then use this instead: CUDA_DIR := /usr CUDA architecture setting: going with all of them. ...
/usr/include/libdrm“中的"GL/gl.h”ENlinux中的gcc编译器默认是从 "cd /usr/include/" 中查找...
显然,该问题是因为路径下不存在该文件, T1、重新安装或下载GPU加速的cuda文件,cuda_runtime.h到指定文件夹即可, T2、如果你使用CMake命令,可以直接 find_package(CUDA REQUIRED) include_directories("${CUDA_INCLUDE_DIRS}") T3、也可以查看stackflow上的回答,按照下边的命令进行设置亦可!
X-License-Identifier: Apache-2.0 WITH LLVM-exception -# -#===---===# - -include_directories(${CUDAToolkit_INCLUDE_DIRS}) - -# libflang_rt.cuda depends on a certain version of CUDA. To be able to have -# multiple build of this library with different CUDA version, the version is -...