Fastai

New Features

- PyTorch 2.0 compatibility ([3890](https://github.com/fastai/fastai/pull/3890)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Pytorch 2.0 compiler compatibility ([3899](https://github.com/fastai/fastai/pull/3899)), thanks to [ggosline](https://github.com/ggosline)
- Better version support for `TensorBase.new_empty` ([3887](https://github.com/fastai/fastai/pull/3887)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- TensorBase deepcopy Compatibility ([3882](https://github.com/fastai/fastai/pull/3882)), thanks to [warner-benjamin](https://github.com/warner-benjamin)

Bugs Squashed

- Fix `Learn.predict` Errors Out if Passed a PILImage ([3884](https://github.com/fastai/fastai/pull/3884)), thanks to [nglillywhite](https://github.com/nglillywhite)
- Set DataLoaders device if not None and to exists ([3873](https://github.com/fastai/fastai/pull/3873)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Fix `default_device` to correctly detect + use mps (Apple Silicon) ([3858](https://github.com/fastai/fastai/pull/3858)), thanks to [wolever](https://github.com/wolever)

New Features

- ChannelsLast Callback Improvements, Additional Documentation, & Bug Fix ([3876](https://github.com/fastai/fastai/pull/3876)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Add support for a batch transforms `to` method ([3875](https://github.com/fastai/fastai/pull/3875)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Allow Pillow Image to be passed to PILBase.create ([3872](https://github.com/fastai/fastai/pull/3872)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Compat with latest numpy ([3871](https://github.com/fastai/fastai/pull/3871)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Move training-only step to separate function in `Learner` ([3857](https://github.com/fastai/fastai/pull/3857)), thanks to [kunaltyagi](https://github.com/kunaltyagi)
- TabularPandas data transform reproducibility ([2826](https://github.com/fastai/fastai/issues/2826))

Bugs Squashed

- Set DataLoaders device if not None and to exists ([3873](https://github.com/fastai/fastai/pull/3873)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Fix `default_device` to correctly detect + use mps (Apple Silicon) ([3858](https://github.com/fastai/fastai/pull/3858)), thanks to [wolever](https://github.com/wolever)
- Fix load hanging in distributed processes ([3839](https://github.com/fastai/fastai/pull/3839)), thanks to [muellerzr](https://github.com/muellerzr)
- `default_device` logic is repeated twice, related to `mps` / OSX support. ([3785](https://github.com/fastai/fastai/issues/3785))
- revert auto-enable of mac mps due to pytorch limitations ([3769](https://github.com/fastai/fastai/issues/3769))
- Fix Classification Interpretation ([3563](https://github.com/fastai/fastai/pull/3563)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- vision tutorial failed at `learner.fine_tune(1)` ([3283](https://github.com/fastai/fastai/issues/3283))

New Features

- Add torch save and load kwargs ([3831](https://github.com/fastai/fastai/pull/3831)), thanks to [JonathanGrant](https://github.com/JonathanGrant)
- This lets us do nice things like set pickle_module to cloudpickle
- PyTorch 1.13 Compatibility ([3828](https://github.com/fastai/fastai/pull/3828)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- Recursive copying of attribute dictionaries for TensorImage subclass ([3822](https://github.com/fastai/fastai/pull/3822)), thanks to [restlessronin](https://github.com/restlessronin)
- `OptimWrapper` sets same param groups as `Optimizer` ([3821](https://github.com/fastai/fastai/pull/3821)), thanks to [warner-benjamin](https://github.com/warner-benjamin)
- This PR harmonizes the default parameter group setting between `OptimWrapper` and `Optimizer` by modifying `OptimWrapper` to match `Optimizer`'s logic.
- Support normalization of 1-channel images in unet ([3820](https://github.com/fastai/fastai/pull/3820)), thanks to [marib00](https://github.com/marib00)
- Add `img_cls` param to `ImageDataLoaders` ([3808](https://github.com/fastai/fastai/pull/3808)), thanks to [tcapelle](https://github.com/tcapelle)
- This is particularly useful for passing `PILImageBW` for MNIST.
- Add support for `kwargs` to `tensor()` when arg is an `ndarray` ([3797](https://github.com/fastai/fastai/pull/3797)), thanks to [SaadAhmedGit](https://github.com/SaadAhmedGit)
- Add latest TorchVision models on fastai ([3791](https://github.com/fastai/fastai/pull/3791)), thanks to [datumbox](https://github.com/datumbox)
- Option to preserve filenames in `download_images` ([2983](https://github.com/fastai/fastai/pull/2983)), thanks to [mess-lelouch](https://github.com/mess-lelouch)

Bugs Squashed

- `get_text_classifier` fails with custom `AWS_LSTM` ([3817](https://github.com/fastai/fastai/issues/3817))
- revert auto-enable of mac mps due to pytorch limitations ([3769](https://github.com/fastai/fastai/issues/3769))
- Workaround for performance bug in PyTorch with subclassed tensors ([3683](https://github.com/fastai/fastai/pull/3683)), thanks to [warner-benjamin](https://github.com/warner-benjamin)

New Features

- add split value argument to ColSplitter ([3737](https://github.com/fastai/fastai/pull/3737)), thanks to [DanteOz](https://github.com/DanteOz)
- deterministic repr for PIL images ([3762](https://github.com/fastai/fastai/issues/3762))
- option to skip default callbacks in `Learner` ([3739](https://github.com/fastai/fastai/issues/3739))
- update for nbdev2 ([3747](https://github.com/fastai/fastai/issues/3747))

Bugs Squashed

- IntToFloatTensor failing on Mac mps due to missing op ([3761](https://github.com/fastai/fastai/issues/3761))
- fix for pretrained in vision.learner ([3746](https://github.com/fastai/fastai/pull/3746)), thanks to [peterdudfield](https://github.com/peterdudfield)
- fix same file error message when resizing image ([3743](https://github.com/fastai/fastai/pull/3743)), thanks to [cvergnes](https://github.com/cvergnes)

New Features

- Initial Mac GPU (mps) support ([3719](https://github.com/fastai/fastai/issues/3719))

New Features

- auto-normalize timm models ([3716](https://github.com/fastai/fastai/issues/3716))
- PyTorch 1.12 support