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
Currently, 7net redundantly computes the statistics of dataset and retrieve shift scale for each process. It may run incorrectly if some shift scale is obtained from a regression model, if the algorithm is not deterministic.
While there is no such method exists in 7net (at least for now) and we use fixed random seed for numpy and torch at the beginning, it is still good practice to ensure it.
The text was updated successfully, but these errors were encountered:
Currently, 7net redundantly computes the statistics of dataset and retrieve shift scale for each process. It may run incorrectly if some shift scale is obtained from a regression model, if the algorithm is not deterministic.
While there is no such method exists in 7net (at least for now) and we use fixed random seed for numpy and torch at the beginning, it is still good practice to ensure it.
The text was updated successfully, but these errors were encountered: