Unable to read the namespace properly

[junzhin]

I run this command specified in Readme file, but I keep running into this exception.
Could anyone know why please..?
python tools/run.py test --config configs/cityscapes_acdc/refign_daformer.yaml --ckpt_path ./pretrained/refign_daformer_acdc.ckpt --trainer.gpus 1

[brdav]

Did you set up the environment using "pip install -r requirements.txt"?

[junzhin]

Yes， I did, I created a new env and pip install in that environment

[junzhin]

This error message happens every time I run the demo described in the readme.

[brdav]

The problem is that it can't find the correlation.cpp file, it seems to look for it in a strange directory in your case. I think there is a problem with your environment installation.
Can you post the output of "pip list" as well as the content of the file "refign.egg-info/SOURCES.txt"?

[junzhin]

Currently, I am establishing the env in the HPC from my university with a A100 gpu.

Here is the first problem when installing the torch, but it seems that installing the previous version through the website "https://pytorch.org/get-started/previous-versions/" solves this problem.

I attached my output of "pip list" file and the file of SOURCES.txt below
piplist.txt.
SOURCES.txt

I rebuilt the env again due to limited space in my cloud storage since last time, this time, a slightly different error message appeared. (above infor is related to this time)

[brdav]

I think I can't help you with the second error, since that seems to be hardware-related.

But regarding your original error, could you print the 'cwd' variable here?

refign/models/correlation_ops/__init__.py

Line 6 in 56a8625

cwd = os.path.dirname(os.path.realpath(__file__))

It's possible that the cluster changed the working directory, which means that the wrong paths are written into 'sources' there.

[junzhin]

Here is the value of 'cwd' variable when running "python tools/run.py fit --config configs/cityscapes_acdc/refign_hrda_star.yaml --trainer.gpus 1 --trainer.precision 16" command

For the second error related to "compute 80", could you give a suggestion about what is the reason behind it? Is this caused by the incorrect cuda version 11.7 matched with the torch installed in this env?

For my hpc account, I do not think I am able to change the version of cuda toolkit version, is there any way to bypass this error?

Please Correct me if I am wrong and I am very new to this area, Thank u!

[brdav]

The 'cwd' seems to point to the correct directory. Unfortunately I can't give you answers to your questions, since such setup issues can be very platform-dependent.

[BruceLin30]

I also encountered the same problem, did you solve it?

[junzhin]

I also encountered the same problem, did you solve it?

Not yet! Do you have any ideas why this happened ?

[zyuanbing]

Here is the value of 'cwd' variable when running "python tools/run.py fit --config configs/cityscapes_acdc/refign_hrda_star.yaml --trainer.gpus 1 --trainer.precision 16" command

For the second error related to "compute 80", could you give a suggestion about what is the reason behind it? Is this caused by the incorrect cuda version 11.7 matched with the torch installed in this env?

For my hpc account, I do not think I am able to change the version of cuda toolkit version, is there any way to bypass this error?

Please Correct me if I am wrong and I am very new to this area, Thank u!

Have you checked your nvcc version by /usr/local/cuda/bin/nvcc -V ?
It seems your nvcc version is lower than CUDA Toolkit 11.0 according to this.

[brdav]

I'm closing the issue since it does not seem to be a problem with this code.

[junzhin]

Thank you for your help， I will try to resolve this problem first and see if there are any other issues!

[brdav]

FYI, I just added the option of installing the CUDA extension beforehand (see the README update), in which case no JIT compilation is needed. This could potentially help with your original error.

[JCongLang]

Thank you for your help， I will try to resolve this problem first and see if there are any other issues!

I also encountered the same problem, did you solve it?

[junzhin]

Thank you for your help， I will try to resolve this problem first and see if there are any other issues!

I also encountered the same problem, did you solve it?

In my case, cuda version is the key

[JCongLang]

Thank you for your help， I will try to resolve this problem first and see if there are any other issues!

I also encountered the same problem, did you solve it?

In my case, cuda version is the key

Thank you for your reply，I solved this problem caused by gcc version