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Hello,
I'm hoping someone can help answer this question:
How was the default value of save_interval selected? For example, https://github.com/deepfakes/faceswap/b ... s.py#L1063.
Low enough that you don't lose too much time if it crashes, high enough that you don't lose too much time with excessive saves.
It's probably no longer the best choice, because it was picked when GPUs and storage were slower.
Thanks for the reply, @bryanlyon.
Was there a methodology used to manage these tradeoffs in the first place? Or was it selected based on developer experiences?
Just based on experience. It used to be 100 iterations. I bumped it to 250 when we moved to Tensorflow 2.x