Proposition to help debugging the SPT installation for non supported CUDA versions

[gardiens]

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What does this PR do?

Superpoint Transformers rely on ( a lot ) of highly GPU optimized dependency ( ex: Pytorch and Pytorch geometric) . Those dependency installlation can be quite tricky if your CUDA versions differ from the one provided in the readme.md.
I mainly met 4 errors when I tried to install SPT on some device:

• torch scatter wasn't installed with GPU support
• FRNN failed in installation ( mostly because of pytorch issue)
• pgeof isn't installed
• I had issue with data.keys() or data.keys depending on the version of pytorch geometrics. I updated the readme and a created a folder " setup". The install script has been moved to this folder and I proposed a script " check_dependency.sh" that try to identify each one of the above errors .

Those tests is not exhaustive but it helped me tremendously to identify when ( and where) install.sh failed when I had to change clusters.

Before submitting

• [x ] Did you make sure title is self-explanatory and the description concisely explains the PR?
• [x ] Did you make sure your PR does only one thing, instead of bundling different changes together?
• [ x] Did you list all the breaking changes introduced by this pull request?
• [x ] Did you test your PR locally with pytest command?
• [ ] Did you run pre-commit hooks with pre-commit run -a command?

Did you have fun?

Make sure you had fun coding 🙃