Closed Pashtetickus closed 1 year ago
You probably ran out of memory. Could you please try running with system.geometry.isosurface_resolution=32
and see if it works?
Looks like it isn't the problem - my card is A100 40gb.
And i also tried it in Colab - it worked with the same requirements.txt
, but i can't figure out the difference between my environment if so):
Maybe you can suggest a way how to check if docker is correct or how to properly reinstall nvidia drivers?
docker from threestudio repo also didn't help. Maybe i should try previous commits?
could you run the Fantasia3D system and see if it works? if not, also try system.renderer.context_type=cuda
I reinstalled the nvidia driver and CUDA, installed a new req.txt and now everything works. I think the problem was somewhere in the dependencies. Thanks for the help!
Hello. I've set up env with docker like this:
And added these line to requirements.txt based on last issues and my needs:
Also did this:
cp docker/10_nvidia.json /usr/share/glvnd/egl_vendor.d/10_nvidia.json
from nvdiffrast reponvcc --version
:And i run command like this:
python launch.py --config configs/magic3d-refine-sd.yaml --train --gpu 0 system.renderer.context_type=cuda system.prompt_processor.prompt={text} system.prompt_processor.use_perp_neg=true system.geometry_convert_from=outputs/magic3d-coarse-if/magic3d/ckpts/last.ckpt trainer.max_steps=50 tag=magic3d_fine use_timestamp=False seed=42
And magic-3d-coarse works fine, but fine-stage do nothing:
It just hanging. If i delete this Lock file it just
Killed
.Do you have any suggestions where the problem might be?
P.S. It worked before but then i did maybe an update from requirements or pulled from the repo and it died somehow. I tried different dockers - none of them helped better than this setup.