I’m trying to replicate Pedro Cuenca’s code on accelerated diffusers using pytorch 2.0 + CUDA 11.8 on Ubuntu 22.04. However, I’m getting the following error:
Could not load library libcudnn_cnn_infer.so.8. Error: libnvrtc.so: cannot open shared object file: No such file or directory
Here is the relevant code:
from diffusers import StableDiffusionPipeline
from diffusers.models.cross_attention import AttnProcessor2_0
print('diffusers version', diffusers.__version__)
print('torch version', torch.__version__)
print('cudnn version', torch.backends.cudnn.version())
pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2")
prompt = "a photo of an astronaut riding a horse on mars"
image = pipe(prompt).images
I’m on diffusers version 0.14.0, torch version 2.0.0+cu118 and cudnn version 8700.
I’m using a conda env. Tried installing pytorch using both pip and conda. The required library (libcudnn_cnn_infer.so.8) does seem to be properly installed within the virtual env. I also tried this before running the script, but I still get the same error:
Thanks @ptrblck! I fixed it by installing cuda-11-8 from Nvidia’s developer repo:
sudo apt install cuda-11-8
I was wrongly understanding that the missing library was libcudnn_cnn_infer.so.8, which is correctly installed by the pytorch pip/conda packages, but it is in fact libnvrtc.so, which is not. After installing it I can now run the example code.
If you think this is a packaging bug I can submit an issue at github.
Yes, the issue in your environment is raised by a missing libnvrtc.so, which is shipped in python3.8/site-packages/torch/lib/libnvrtc-672ee683.so.11.2, but I guess libcudnn misses this dependency assuming cuDNN’s runtime fusion API is used.
Let me check my workflow with LD_DEBUG to see where my environment is loading this library from and I can follow up with an issue and fix if needed in the pytorch/builder repository.