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Following typical optimizer structures in deep learning (tensor flow, pytorch), we can add the possibility of defining a LearningRateScheduler at construction time for EKP.
Then, we would set the default dt based on the scheduler, and perhaps still expose this parameter for the user in case they want to try out some other schedule.
The text was updated successfully, but these errors were encountered:
Following typical optimizer structures in deep learning (tensor flow, pytorch), we can add the possibility of defining a
LearningRateScheduler
at construction time for EKP.Then, we would set the default dt based on the scheduler, and perhaps still expose this parameter for the user in case they want to try out some other schedule.
The text was updated successfully, but these errors were encountered: