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(I am not pro user, but someone barely maintaining the lab server from crashing. If my message messed up your server, sorry in advance!)
Hey there,
I recently ran into an issue after installing via conda and pip, and I wanted to share my solution in case anyone else encounters the same problem.
The Error
Could not load library libcudnn_cnn_infer.so.8. Error: libcuda.so: cannot open shared object file: No such file or directory
The Fix
After some research, I found that I needed to install nvidia-cudnn. Here's what worked for me:
Update your package list: Run sudo apt update to ensure you have the latest package information.
Install nvidia-cudnn: Execute sudo apt install nvidia-cudnn to install the required library.
Note on CUDA Version Compatibility
Keep in mind that CUDA version 545 might not be compatible with other dependencies. I recommend using CUDA version 535 instead.
Additional Tips
Don't forget to reboot your system if prompted to do so after updating your drivers.
If you encounter issues with NVML, make sure both the driver and NVML are updated to the same version (in this case, 535).
Hope this helps!
The text was updated successfully, but these errors were encountered:
(I am not pro user, but someone barely maintaining the lab server from crashing. If my message messed up your server, sorry in advance!)
Hey there,
I recently ran into an issue after installing via conda and pip, and I wanted to share my solution in case anyone else encounters the same problem.
The Error
Could not load library libcudnn_cnn_infer.so.8. Error: libcuda.so: cannot open shared object file: No such file or directory
The Fix
After some research, I found that I needed to install nvidia-cudnn. Here's what worked for me:
Note on CUDA Version Compatibility
Keep in mind that CUDA version 545 might not be compatible with other dependencies. I recommend using CUDA version 535 instead.
Additional Tips
Hope this helps!
The text was updated successfully, but these errors were encountered: