ubuntu中报错OSError: libcudnn.so.8: cannot open shared object file: No such file or directory
时间: 2023-10-14 19:19:31 浏览: 40
这个报错是因为缺少CUDA深度神经网络库的动态链接库文件。可以使用以下步骤解决:
1. 确认CUDA和cuDNN在系统中已经正确安装。
2. 打开终端,输入以下命令安装cuDNN库:
```
sudo apt-get install libcudnn8
```
如果系统版本不同,可以根据需要选择对应的cuDNN版本,例如:
```
sudo apt-get install libcudnn7
```
3. 如果安装成功,可以在以下目录找到cuDNN库文件:
```
/usr/lib/x86_64-linux-gnu/
```
4. 如果还是出现同样的错误,可以将上述路径添加到环境变量中,例如:
```
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:$LD_LIBRARY_PATH
```
然后再次运行程序即可。
相关问题
安装mmcv OSError: libcudnn.so.8: cannot open shared object file: No such file or directory
安装mmcv时出现OSError: libcudnn.so.8: cannot open shared object file: No such file or directory错误,可能是由于缺少CUDA和cuDNN库文件导致的。解决方案如下:
1. 确认CUDA和cuDNN是否正确安装并配置。可以通过以下命令检查CUDA和cuDNN的版本:
```shell
nvcc --version
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
```
2. 如果CUDA和cuDNN已正确安装并配置,但仍然出现上述错误,则可能是因为缺少libcudnn.so.8文件。可以通过以下命令安装libcudnn8:
```shell
sudo apt-get install libcudnn8
```
3. 如果上述命令无法解决问题,则可以尝试手动安装libcudnn.so.8文件。可以从NVIDIA官网下载对应版本的cuDNN文件,并按照以下步骤进行安装:
```shell
# 解压文件
tar -xzvf cudnn-11.4-linux-x64-v8.2.4.15.tgz
# 复制文件到CUDA目录下
sudo cp cuda/include/cudnn*.h /usr/local/cuda/include/
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64/
# 修改文件权限
sudo chmod a+r /usr/local/cuda/include/cudnn*.h /usr/local/cuda/lib64/libcudnn*
```
4. 安装完成后,重新安装mmcv即可。
OSError: libcudnn.so.8: cannot open shared object file: No such file or directory
This error message indicates that the program you are trying to run cannot find the file "libcudnn.so.8" in its expected location. This file is a library required for running deep learning applications on NVIDIA GPUs.
To resolve this error, you can try the following steps:
1. Make sure you have installed the latest version of CUDA and cuDNN on your system. You can download these tools from the NVIDIA website.
2. Check if the "libcudnn.so.8" file is present in the expected location. The default location is usually "/usr/local/cuda/lib64/". If the file is not present, you may need to reinstall cuDNN.
3. If the file is present but the program still cannot find it, you may need to add the path to the file to your system's LD_LIBRARY_PATH environment variable. You can do this by adding the following line to your ~/.bashrc file:
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH
4. After making any changes to your environment variables, remember to source your ~/.bashrc file or restart your terminal session for the changes to take effect.
If none of these steps work, you may need to consult the documentation or support forums for the specific program you are trying to run.