You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Jul 16, 2021. It is now read-only.
I run the project and notice in _train() there is a memory usage in process same as memory usage of data. However, data in train_part() (also the return value in concat()) also takes up the memory usage. As the train_part() only uses the list_of_parts, if it is possible to delete the original data after returning the list_of_parts in _train()?
I run the project and notice in _train() there is a memory usage in process same as memory usage of data. However, data in train_part() (also the return value in concat()) also takes up the memory usage. As the train_part() only uses the list_of_parts, if it is possible to delete the original data after returning the list_of_parts in _train()?
I tried client.cancel() and del but both failed.