fastai 2.7.0

v2.7.0

on Python PyPI

Breaking changes

• Distributed training now uses Hugging Face Accelerate, rather than fastai's launcher.
  Distributed training is now supported in a notebook -- see this tutorial for details

New Features

• resize_images creates folder structure at dest when recurse=True (#3692)
• Integrate nested callable and getcallable (#3691), thanks to @muellerzr
• workaround pytorch subclass performance bug (#3682)
• Torch 1.12.0 compatibility (#3659), thanks to @josiahls
• Integrate Accelerate into fastai (#3646), thanks to @muellerzr
• New Callback event, before and after backward (#3644), thanks to @muellerzr
• Let optimizer use built torch opt (#3642), thanks to @muellerzr
• Support PyTorch Dataloaders with DistributedDL (#3637), thanks to @tmabraham
• Add channels_last cb (#3634), thanks to @tcapelle
• support all timm kwargs (#3631)
• send self.loss_func to device if it is an instance on nn.Module (#3395), thanks to @arampacha

Bugs Squashed

• Solve hanging load_model and let LRFind be ran in a distributed setup (#3689), thanks to @muellerzr
• pytorch subclass functions fail if no positional args (#3687)
• Workaround for performance bug in PyTorch with subclassed tensors (#3683), thanks to @warner-benjamin
• Fix Tokenizer.get_lengths (#3667), thanks to @karotchykau
• load_learner with cpu=False doesn't respect the current cuda device if model exported on another; fixes #3656 (#3657), thanks to @ohmeow
• [Bugfix] Fix smoothloss on distributed (#3643), thanks to @muellerzr
• WandbCallback Error: "Tensors must be CUDA and dense" on distributed training (#3291)
• vision tutorial failed at learner.fine_tune(1) (#3283)