rvinas / HYFA

Hypergraph Factorisation
MIT License
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Installation Problem #5

Closed elifcevrim closed 5 months ago

elifcevrim commented 11 months ago

I'm having trouble installing packages due to version conflicts. Can you suggest the right Python version for compatibility with the required packages?

rvinas commented 11 months ago

Hi Elif, thanks for your interest in our work. We were using Python 3.8.0 - can you install the packages using this version? If not, it would be nice if you could show the compatibility error.

elifcevrim commented 11 months ago

Thanks for your quick response. I'm currently facing an issue while installing the required packages. Here's the error I encountered:

  Using cached torch-1.8.0-cp38-cp38-manylinux1_x86_64.whl (735.5 MB)
Collecting torch-scatter==2.0.9 (from -r requirements.txt (line 23))
  Using cached torch_scatter-2.0.9.tar.gz (21 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [6 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-i5657kpa/torch-scatter_035b5d25850b4a7eab3221ea047703d4/setup.py", line 8, in <module>
          import torch
      ModuleNotFoundError: No module named 'torch'
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
WARNING: There was an error checking the latest version of pip.

How can I resolve this issue? I haven't found a solution yet. Could it possibly be related to the CUDA version?

rvinas commented 11 months ago

I see... Yes, this might be related to the CUDA version. In the past, I've also run into installation issues with torch-scatter. Perhaps you could try manually installing Pytorch first followed by torch-scatter?

According to the torch-scatter documentation, if pytorch >= 1.8.0 is installed then you should be able to install torch-scatter as conda install pytorch-scatter -c pyg (or if you are using pip: pip install torch-scatter -f https://data.pyg.org/whl/torch-1.8.0+${CUDA}.html)