I have multiple versions of CUDA in my machine, this is why in mybashrcI need to specify theLD_LIBRARY_PATH Specs in mybashrc # CUDA export PATH=/usr/local/cuda-11.7/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-11.7/targets/x86_64-linux/lib/stubs/libcuda.so:$LD_LIBRARY_PATH ...
- PATH includes /usr/local/cuda-11.8/bin - LD_LIBRARY_PATH includes /usr/local/cuda-11.8/lib64, or, add /usr/local/cuda-11.8/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-11.8/bin ***WARNING: Incomplete i...
- PATH includes /usr/local/cuda-11.8/bin - LD_LIBRARY_PATH includes /usr/local/cuda-11.8/lib64, or, add /usr/local/cuda-11.8/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-11.8/bin ***WARNING: Incomplete i...
exportLD_LIBRARY_PATH="/opt/openmpi/lib" then CUDA traces are presented, but holistic trace analyzerget_cupti_counter_data_with_operators()tells 2024-02-02 10:07:32,043 - hta - cupti_counter_analysis.py:L150 - WARNING - Could not find events of 'cuda_profiler_range' category Please check...
但是当你的环境下默认有一个Cuda环境的时候,你想安装一个新的Cuda环境时,需要注意的是你就不能再添加新的Cuda 驱动了。 有的环境这时使用nvcc -V的时候,没有办法显示。其实只要去配置一下环境变量就OK vim ~/.bashrc#下面加进去有export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 ...
export LD_LIBRARY_PATH="$CUDA_HOME/lib64:$LD_LIBRARY_PATH" 这些命令将设置CUDA的路径和库路径。如果您使用的是其他版本的CUDA,请相应地更改路径。 配置环境变量最后,您需要配置环境变量。这可以让PyTorch和其他相关库找到彼此。可以使用以下命令来配置环境变量: export PYTHONPATH=$PYTHONPATH:/path/to/pytorch/...
echo "export LD_LIBRARY_PATH="/usr/local/cuda/lib64:\$LD_LIBRARY_PATH"" >> ~/.bashrc echo "export PATH="/usr/local/cuda/bin:\$PATH"" >> ~/.bashrc 然后安装就完成了。 Windows win系统下比较简单,进入官网选择合适的版本,直接下载exe可执行程序,进入引导安装即可。
#用于设置python3.7.5库文件路径exportLD_LIBRARY_PATH=/usr/local/python3.7.5/lib:$LD_LIBRARY_PATH#如果用户环境存在多个python3版本,则指定使用python3.7.5版本exportPATH=/usr/local/python3.7.5/bin:$PATH 5)检查是否安装成功。 python3--version ...
export LD_LIBRARY_PATH=/usr/local/python3.7.5/lib:$LD_LIBRARY_PATH #如果用户环境存在多个python3版本,则指定使用python3.7.5版本 export PATH=/usr/local/python3.7.5/bin:$PATH 5)检查是否安装成功。 python3 --version pip3 --version
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH export PATH=/usr/local/cuda/bin:$PATH 然后,重新加载配置文件或重启终端。 确保你的CUDA版本与PyTorch版本兼容:如果你正在使用GPU版本的PyTorch,你需要确保你的CUDA版本与PyTorch版本兼容。你可以在PyTorch的官网查看CUDA版本的兼容性信息。如果CUDA...