export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.0/lib64 export PATH=$PATH:/usr/local/cuda-11.0/bin保存文件并重新启动终端。 验证CUDA安装:在终端中运行以下命令,验证CUDA是否正确安装: nvcc --version如果输出显示CUDA版本为11.0,则表示安装成功。 下载cuDNN 8.0:从NVIDIA官网下载cuDNN 8.0,并...
conda设置专用环境变量(cuda为例) conda env config vars set PATH=/usr/local/cuda-your_cuda_version/lib64:$PATH -n your_env_name conda env config vars set LD_LIBRARY_PATH=/usr/local/cuda-your_cuda_version/lib64:$LD_LIBRARY_PATH -n your_env_name -n your_env_name的作用是使得专用环境变量...
export LD_LIBRARY_PATH="/public/home/user_xxx/users/user_yyy/toolkit/nccl_2.18.3-1+cuda11.0_x86_64/include/:/public/home/user_xxx/users/user_yyy/toolkit/nccl_2.18.3-1+cuda11.0_x86_64/lib:$LD_LIBRARY_PATH" #export LD_LIBRARY_PATH="/public/home/user_xxx/users/user_yyy/toolkit/opt/l...
PATH = /usr/local/cuda-11.6/bin:/usr/local/cuda-11.6/bin:/opt/texlive/2022/bin/x86_64-linux:/opt/anaconda3/condabin:/opt/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin LD_LIBRARY_PATH = /usr/local/cuda-11.6/...
sudo <CudaInstaller>.run--silent --driverLogfileis/tmp/cuda-installer.log 【按照Summary配置PATH】 exportPATH="/4Tdisk/**/cuda/cuda-10.1/bin:$PATH"exportLD_LIBRARY_PATH="/4Tdisk/**/cuda/cuda-10.1/lib64:$LD_LIBRARY_PATH" 下载解压cudnn与复制 ...
可以在activate.sh中写入下列内容来修改CUDA版本,也可以配置的环境变量 ORIGINAL_LD_LIBRARY_PATH=$LD_LIBRARY_PATHexportLD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH 2.创建关闭虚拟环境时的脚本 mkdir -p ~/anaconda3/envs/your_env_name/etc/conda/deactivate.d ...
接下来配置cuda的系统路径,首先打开家目录下的.bashrc文件 sudo gedit ~/.bashrc 1. 在文件的末尾添加如下内容: # added install cuda export PATH=/usr/local/cuda-11.4/bin${PATH:+:${PATH}} export LD_LIBRARY_PATH=/usr/local/cuda-11.4/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} ...
cuda驱动版本是11.2,运行时版本是11.5。在.bashrc文件中添加: export CUDA_HOME=/usr/local/cuda-11.5export LD_LIBRARY_PATH=/usr/local/cuda-11.5/lib64:$LD_LIBRARY_PATH export PATH=/usr/local/cuda-11.5/bin:$PATH 在home目录下设置.profile文件,登录时自动执行.bashrc文件。
LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64 PATH=/opt/conda/envs/python35-paddle120-env/bin:/opt/conda/envs/python27-pa ddle120-env/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/b in:/usr/local/sbin:/usr/sbin:/sbin:/home/aistudio/bin:/home/ai...
export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} export CUDA_HOME=/usr/local/cuda 编辑完成后 source ~/.bashrc 使文件生效 4、安装horovod,run on GPUs with NCCL: HOROVOD_GPU_OPERATIONS=NCCL pip install --no-cache-dir horovod ...