Thanks to both @reshama eshama and @jeremy (if I can address you on a first name basis).
Now, in order to update instructions to get windows users up and running, this is what worked for me (windows 10 box, with gtx 1070):
a) Create a new anaconda env with python 3.6 and some additional packages:
>conda create -n fastai python=3.6 numpy cython statsmodels opencv
b) Install pytorch for cuda. If you already have a keras/TF setup which works only with cuda 8.0, and want to avoid headaches, you would rather install the cuda 8.0 version:
>conda install -c peterjc123 pytorch cuda80
However, keep us posted should you manage a successful installation of the cuda9 version alongside TF and cuda8
>pip install fastai
be patient, that will install a lot of stuff.
d) Now you are done, but you may want to install the ipython kernel in order to use lessons’ notebooks and do your own experiments. In my case:
>python -m ipykernel install --user --name fastai --display-name "fastAI custom"
That would be all.
Now, one may want to log in into your workstation remotely. In that case, there are various options, for example:
- Using remote desktop (mind that it’s slow if you have a slow or high-latency connection)
- Just leaving the notebook server on (unpractical: you would not be able to run administration tasks)
- Using “linux on windows” with tmux (install LoW from windows store)
Hope this helps.
Footnote: created a new topic on the beginner forum.