Comments (7)
pinning torch to 2.1.0 works for me, on ubuntu 22.04 and arch.
from superpoint_transformer.
Hi @xiarobin, as you can see in the traceback, the error seems to come from FRNN
. This is the library we are using for fast neighbor search on GPU. Several users have reported issues with this dependency. Please make sure FRNN
is properly installed. Also, look into passed issues related to FRNN
to see if the solution is not already there.
It is possible that the error trace is not entirely returned, you can try setting HYDRA_FULL_ERROR=1
as suggested. Maybe this will return a more informative feedback.
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PS: if you ❤️ or simply use this project, don't forget to give it a ⭐, it means a lot to us !
from superpoint_transformer.
Hi @xiarobin, as you can see in the traceback, the error seems to come from
FRNN
. This is the library we are using for fast neighbor search on GPU. Several users have reported issues with this dependency. Please make sureFRNN
is properly installed. Also, look into passed issues related toFRNN
to see if the solution is not already there.It is possible that the error trace is not entirely returned, you can try setting
HYDRA_FULL_ERROR=1
as suggested. Maybe this will return a more informative feedback.
Hi @drprojects , I have correctly installed the FRNN library according to install.sh and set HYDRA-FULL_ERROR=1 as per your suggestion, but the above error still occurs.
from superpoint_transformer.
From your screenshot, we can't really tell whether the installation went through all the way.
In any case, this is a FRNN
-related issue. So you should investigate in this direction:
- generate random points
- check that
FRNN
works - https://github.com/lxxue/FRNN?tab=readme-ov-file#usage
from superpoint_transformer.
After a 1-minute search of your error message on Google:
People seem to solve this by downgrading PyTorch version to 2.1.0. Can you please try this and let us know ?
from superpoint_transformer.
I could install and run with torch 2.2.0 without problem on my end. It seems this issues is machine-dependent and can be fixed with a downgrade to torch 2.1.0. Closing this now.
from superpoint_transformer.
Related Issues (20)
- mutable default <class 'hydra.conf.JobConf.JobConfig.OverrideDirname'> for field override_dirname is not allowed HOT 2
- Where are the results of semantic segmentation stored? HOT 11
- Issue in running demo HOT 5
- Is it possible to have more input channels? HOT 1
- Example training crashes with seeming integer overflow HOT 4
- Install script makes seemingly incorrect assumptions about PGEOF's environment HOT 17
- xy_tiling setting when process own data HOT 1
- ModuleNotFoundError: No module named 'src.dependencies.FRNN' HOT 1
- Transformer_blocks architecture in SPT HOT 1
- Training custom dataset with all points HOT 3
- Sinusoidal Learning rate when increasing both max_epochs and batch size HOT 10
- Norm_index HOT 1
- Is there any method to save the Partition L2 superpoint? HOT 9
- Can the model run on smaller GPU (6GB) ? HOT 1
- Error when installing pgeof. HOT 7
- Is my format of the Scannetv2 wrong? HOT 6
- Large variance in performance of re-trained models. HOT 3
- generating a 'processed' folder for a personalized dataset that has a structure similar to the S3DIS dataset HOT 3
- Empty list on Scatter_nearest_neighbor HOT 6
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