Rasa OS installation issue: CUDA version

Thanks @dakshvar22.

These important dependencies are a bit difficult to know ahead of installation. To be sure, one can do the following:

  1. Go to the rasa development repository.
  2. Open the tags.
  3. Find the version you want to install, say, 2.2.2.
  4. Download and unzip the source.
  5. All dependencies are in poetry.lock. In this case, tensorflow = ">=2.3.0,<2.4".
  6. Then look up the corresponding CUDA version on TF’s installation docs, for Linux GPU, in this case.

A bit convoluted. It would help to have this more handy in the rasa documentation.

The appropriate CUDA can then be installed in a conda environment with cudatoolkit=10.1.*.