pytorch-optimizer v3.0.1

Change Log

Feature

• Implement FAdam optimizer. (#241, #242)
  • Adam is a natural gradient optimizer using diagonal empirical Fisher information
• Tweak AdaFactor optimizer. (#236, #243)
  • support not-using-first-momentum when beta1 is not given
  • default dtype for first momentum to bfloat16
  • clip second momentum to 0.999
• Implement GrokFast optimizer. (#244, #245)
  • Accelerated Grokking by Amplifying Slow Gradients

Bug

• Wrong typing of reg_noise. (#239, #240)
• Lookahead`s param_groups attribute is not loaded from checkpoint. (#237, #238)

Contributions

thanks to @michaldyczko