针对你遇到的“could not find cuda (missing: cuda_include_dirs)”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头文件目录。以下是一些可能的解决步骤: 确认CUDA是否已经正确安装: 你可以在命令行中输入nvcc --version来检查CUDA编译器(nvcc)的版本,从而确认CUDA是否已安装。 检查环...
Solution to issue cannot be found in the documentation. I checked the documentation. Issue We are trying to build FBGEMM against the CUDA 12.6 (pytorch/FBGEMM#3503), and are running into the following error: -- Could NOT find CUDA (missi...
Hello, I am using ROS2 ELOQUENT and i am trying to build zed-ros2-wrapper and i get the below error.attached the image. I have tried with both master branch and eloquent branch but i get the same error. Please support! OS: Ubuntu OS 18.0...
Check if the path to the CUDA toolkit is set in the environment variables. You can do this by running the commandecho $PATHin the terminal. The output should include the path to the CUDA toolkit. Verify that the NVIDIA graphics card drivers are up to date. If you are using a virtual ...
cmake 找不到cuda Could Not find CUDA(missing:CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY),程序员大本营,技术文章内容聚合第一站。
cmake 找不到cuda Could Not find CUDA(missing:CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) 报错如图 在网上找了很多办法 比如 Try adding -DCUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so when you run cmake command. 参考的是 https://github.com/nicehash/nheqminer/issues/317 遇到同样问题的...
Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS) (found version ".") Contributor davidrpugh commented Mar 2, 2022 via email It would appear that your CUDA_HOME variable is not set properly as NVCC cannot be found. Please set that variable (as well as NCCL_HOME) using the example scri...
-- CUDA detected: 9.1 -- Added CUDA NVCC flags for: sm_50 CMake Error at /home/jp/Downloads/cmake-3.14.5/Modules/FindPackageHandleStandardArgs.cmake:137 (message): Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY ...
Hi, I try convert onnx model to tensortRT C++ API but I couldn't. My system: I have a jetson tx2, tensorRT6 (and tensorRT 5.1.6 on different tx2) I tried to this commend cmake . -DCUDA_INCLUDE_DIRS=/usr/local/cuda/include -DTENSORRT_ROOT...
-DUSE_CUDA=OFF \ -DBUILD_SHARED_LIBS=ON \ -DBUILD_EXAMPLES=OFF \ -DBUILD_TESTING=OFF \ -DEIGEN_INCLUDE_DIR=${installRepo}/eigen/include \ -Dglog_DIR:PATH=${installRepo}/glog/lib/cmake/glog -Dgflags_DIR:PATH=${installRepo}/gflags/lib/cmake/gflags ../../"$RepoSource" ...