New Features

• Documentation https://pytorch-argus.readthedocs.io
• Add step on iteration option for LR schedulers.

  from argus.callbacks import CosineAnnealingLR
  
  CosineAnnealingLR(10000, step_on_iteration=True)

• New LR schedulers.
  • argus.callbacks.lr_schedulers.MultiplicativeLR: Multiply learning rate by the factor given in the specified function.
  • argus.callbacks.lr_schedulers.OneCycleLR: One Cycle learning rate policy.
• Make LR scheduler step on epoch complete instead start.
• Compute metric score with torch no grad.

Fix

• Fix LR logging with several parameters group in optimizer.
• Fix key error in redefine metric warning.

Breaking Changes

• PyTorch requirements torch>=1.1.0.