Fastxtend

What's Changed
* Add fused ForEach and TorchScript Optimizers
* Add the Adan Optimizer
* Port to nbdev2
* Improved Callbacks & Bug Fixes: EMA, ProgressiveResize, SimpleProfiler
* XResNet compatibility with TorchScript and `vision_learner`
* BCEWithLogitLoss with 'batchmean' reduction

**Full Changelog**: https://github.com/warner-benjamin/fastxtend/compare/v0.0.10...v0.0.11

- `CutMix` and `CutMixAugment` support small batch sizes
- Bug fix in `CutMix` and `CutMixAugment`

- Add `ProgressiveResize` callback to implement automatic progressive resizing in fastai
- Add support for element-wise MixUp, CutMix and Augmentations in `CutMixUp` and `CutMixUpAugment`
- Add samples per second to simple profiler, logging and output improvements
- Add MixUp support to `MultiLoss`
- Add new batch augmentations

Thanks to marii-moe for assistance in debugging and fixing `ProgressiveResize` memory allocation overflows.

Add `CastToTensorBackport` and update simple profiler to be future proof with fastai 2.7.0

Add splitters, batch as item transforms, multitargetloss, & type hints

Add tracker callbacks