Callback

Callback — an abstraction that lets you customize your experiment run logic. To give users maximum flexibility and extensibility Catalyst supports callback execution anywhere in the training loop.

Such a callback system allows you to quickly enable/disable metrics and other dl tricks, like gradient accumulation, mixup, batch overfitting, early stopping — with only a few lines of code. During any experiment run.

If you haven’t found the answer for your question, feel free to join our slack for the discussion.