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okwrtdsh avatar okwrtdsh commented on June 23, 2024 1

@RooieRakkert
Thanks for your comment!

I prefer to add at run time when I have few requirements.

On the other hand, when I have many (or large) requirements or I need build something to add them, I often create a new Docker Image. (In this case, the purpose of Docker Image often changes.)

When requirements are depended on keras, I select keras-XXX-cudnnX as base image.
When they are needed to build keras, I select tf-XXX-cudnnX or XXX-cudnnXas base image.

I'm sorry for my broken English...

from anaconda3.

RooieRakkert avatar RooieRakkert commented on June 23, 2024 1

Cheers, thanks! I'll go for the second option, creating a new Docker image based on the latest image, updated with additional required dependencies.

from anaconda3.

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