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It would be easier to use if there is a docker configuration. I am trying to set it up on Fedora 34 and it has python 3.9 and it is quite hard to get everything set up as suggested in the readme. Providing a docker configuration would allow an easy to use compatibility reference. People could configure their own volumes where the code is stored. could be based on tensorflow gpu dockerfile?
The text was updated successfully, but these errors were encountered:
It would be easier to use if there is a docker configuration. I am trying to set it up on Fedora 34 and it has python 3.9 and it is quite hard to get everything set up as suggested in the readme. Providing a docker configuration would allow an easy to use compatibility reference. People could configure their own volumes where the code is stored. could be based on tensorflow gpu dockerfile?
The text was updated successfully, but these errors were encountered: