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simplification over all kinds of "path" settings #882
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Hey, thanks for your contribution! Great first issue! |
I agree this kind be confusing. I am trying to unify the callback system and also try to merge this with the loggers. In that spirit, I have added a property in By default, all callbacks should use this path and only use the one provided in the init of the callback if it's different than Callback that write on disk should also have a Let me know what do you think. |
@marsggbo good suggestion, we shall keep the API simple and easy to navigate... |
@Borda Hello, thank you for this great project! Actually, I'm not familiar with the code details. However, I implement a framework, namely torchline, based on pytorch-lightning. In torchline, all configuration can be set in a single To keep the path consistency, we do some preprocessing when initializing the config, refering to torchline/config/config.py. hope it can help you. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
I'm lost in all kinds of "path" settings, could it be more simpler?
Across the source code and examples, I find that there are many types of "path" config, such as the path in
ModelCheckpoint
,logger
, anddefault_save_path
in trainer.Could you please explain these path configs in more detail? For example, if we set
default_save_path
, how does it influence other path configs?The text was updated successfully, but these errors were encountered: