-- Build files have been written to: D:/work/cuda_work/cuda_cmake_Info/build 在ubuntu21.04下运行: cmake ../ 即: eric@ubuntu20:~/work/cuda_work/cuda_cmake_Info/build$ cmake ../ -- The C compiler identification is NVHPC 21.7.0 -- The CXX compiler identification is NVHPC 21.7.0 ...
4 (found version "12.4") [cmake] -- The CUDA compiler identification is NVIDIA 12.4.99 [cmake] -- Detecting CUDA compiler ABI info [cmake] -- Detecting CUDA compiler ABI info - done [cmake] -- Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v...
按照上述2种方式配置完后,可调用一下nvcc --version的命令看能否找到,如果能找到并输出,证明CUDA的环境变量就配置好了。以下是我的nvcc --version的命令及输出,供参考: yanghong@isp-02:~/Projects/hello_cuda$ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporat...
set(CMAKE_CUDA_COMPILER "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.1/bin/nvcc") 或将以下变量添加到 Cmake: 这是我在 Linux 上成功编译的“CMakeLists.txt”文件。不同之处在于我使用 Cmake 3.5 和 CUDA Toolkit 9.0: cmake_minimum_required(VERSION 3.5) project( myproject) find_...
Unsupported CUDA toolkit version: 10.1.243 Call Stack (most recent call first): cmake/Koi.cmake:45 (get_best_compatible_koi_version) CMakeLists.txt:45 (include) and when i check cuda toolkit version withnvcc --versionnvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA ...
Compiling the CUDA compiler identification source file "CMakeCUDACompilerId.cu" failed. Compiler: Build flags: Id flags: --keep;--keep-dir;tmp -v The output was: 1 Microsoft (R) Build Engine version 16.11.2+f32259642 for .NET Framework ...
"CMakeCUDACompilerId.cu" failed. Compiler: /usr/local/cuda/bin/nvcc Build flags: Id flags: --keep;--keep-dir;tmp -v The output was: 1 查看常规消息: gcc: error trying to exec 'cc1plus': execvp: No such file or directory nvcc fatal : Failed to preprocess host compiler properties. ...
https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#options-for-steering-gpu-code-...
这里我们使用CMake。 在一个CMake工程中，我们会使用cmake命令生成一个Makefile文件，然后，用make命令...
我正在尝试使用最新的opencv版本4.1.0构建一个docker镜像,以便能够使用cudafeatures2D。 我已经在我的当前图像中检查了CUDA的位置,/usr/local/cuda-9.0。 -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D WITH_CUBLAS=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH...