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As I was trying to design a new training approach, I have tried to be inspired by the existing leftover parts, but at the same time I was struggling to follow it, as it seems a lot of assumptions were made from the bioimageio side as well. Thus, some of them are remained, but probably we should remove them, and try to follow one consistent approach.
The text was updated successfully, but these errors were encountered:
As with the newest attempt of adding neural network training in tiktorch #225, we should remove any legacy old-designs of training functionality.
The #225 has already taken care some parts of it. But still some leftover code is remaining.
For example:
As I was trying to design a new training approach, I have tried to be inspired by the existing leftover parts, but at the same time I was struggling to follow it, as it seems a lot of assumptions were made from the bioimageio side as well. Thus, some of them are remained, but probably we should remove them, and try to follow one consistent approach.
The text was updated successfully, but these errors were encountered: