third-party dynamic library (libcudnn.so) that Paddle depends on is not configured correctl

桃扇骨 2023-09-28 13:41 22阅读 0赞

运行百度飞桨的代码，报以下错误，并给出提示，是由于cuda没有配置好导致的报错。

W0705 10:39:02.694573 2471961 gpu_context.cc:278] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 11.4, Runtime API Version: 11.2
    W0705 10:39:02.694808 2471961 dynamic_loader.cc:305] The third-party dynamic library (libcudnn.so) that Paddle depends on is not configured correctly. (error code is /usr/local/cuda/lib64/libcudnn.so: cannot open shared object file: No such file or directory)
      Suggestions:
      1. Check if the third-party dynamic library (e.g. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed.
      2. Configure third-party dynamic library environment variables as follows:
      - Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...`
      - Windows: set PATH by `set PATH=XXX;

![在这里插入图片描述][f829058e250c40e98618815a73fccc4e.png]  
但是电脑是安装过paddle，并运行成功过gpu代码的，所以应该配置好了cuda和cudnn。  
![在这里插入图片描述][02e8b8921dbd4a56b819d95a291a01c2.png]

解决步骤(linux环境下：设置 “LD\_LIBRARY\_PATH” 动态链接库)：

1.  查找Linux普通用户在自己的Anaconda虚拟环境目录中的cudnn
    
        (paddle) ninjia@ailian-G4228-TRT:~/anaconda3/envs/paddle/lib$ pwd
        /home/ninjia/anaconda3/envs/paddle/lib
2.  在 /home/ninjia目录下的配置文件 `.bashrc` 或者 `.bash_profile` 中加入 export 语句，前者在每次登陆和每次打开 shell 都读取一次，后者只在登陆时读取一次。我的习惯是加到 ~/.bashrc 中，在该文件的未尾，可采用如下语句来使设置 `“动态链接库” LD_LIBRARY_PATH`生效：
    
        export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/ninjia/anaconda3/envs/paddle/lib
3.  修改完后，`source .bashrc` 生效
    
        (base) ninjia@ailian-G4228-TRT:~$ source .bashrc

## LD\_LIBRARY\_PATH详解 ##

LD\_LIBRARY\_PATH详解  
LD\_LIBRARY\_PATH是Linux环境变量名，该环境变量主要用于指定查找共享库（动态链接库）时除了默认路径之外的其他路径。

--------------------

参考资料：  
[PreconditionNotMetError: The third-party dynamic library (libcublas.so) that Paddle depends on is no][PreconditionNotMetError_ The third-party dynamic library _libcublas.so_ that Paddle depends on is no]  
[linux 的 LD\_LIBRARY\_PATH 变量设置][linux _ LD_LIBRARY_PATH]  
[设置 Linux 的 LD\_LIBRARY\_PATH 变量][Linux _ LD_LIBRARY_PATH]  
[The third-party dynamic library (libcudnn.so) that Paddle depends on is not configured correctly][The third-party dynamic library _libcudnn.so_ that Paddle depends on is not configured correctly]  
[LD\_LIBRARY\_PATH详解][LD_LIBRARY_PATH]

[f829058e250c40e98618815a73fccc4e.png]: https://img-blog.csdnimg.cn/f829058e250c40e98618815a73fccc4e.png
[02e8b8921dbd4a56b819d95a291a01c2.png]: https://img-blog.csdnimg.cn/02e8b8921dbd4a56b819d95a291a01c2.png
[PreconditionNotMetError_ The third-party dynamic library _libcublas.so_ that Paddle depends on is no]: https://blog.csdn.net/zhou_438/article/details/109162463
[linux _ LD_LIBRARY_PATH]: https://blog.csdn.net/u011440558/article/details/84291988
[Linux _ LD_LIBRARY_PATH]: https://blog.csdn.net/CouragelDesire/article/details/116462607
[The third-party dynamic library _libcudnn.so_ that Paddle depends on is not configured correctly]: https://blog.csdn.net/weixin_41255438/article/details/124144722
[LD_LIBRARY_PATH]: https://blog.csdn.net/yueyecheshou1980/article/details/106096013/