v2.7.15

New Features

• Support PyTorch 2.3 (#4026), thanks to @warner-benjamin
• Add log and show_epochs to log_ploss (#3964), thanks to @turbotimon

v2.7.14

New Features

• PyTorch 2.2 support, thanks to @warner-benjamin

v2.7.13

New Features

• PyTorch 2.1 compatibility (#3970), thanks to @warner-benjamin
• Add MutableMapping to torch_core.apply to Support Moving Transformers Dicts (#3969), thanks to @warner-benjamin
• Added Jaccard coefficient metric for multiclass target in segmentation (#3951), thanks to @Hazem-Ahmed-Abdelraouf
• Support TorchVision's Multi-Weight API (#3944), thanks to @warner-benjamin
• Fix the Deploy to GitHub Pages Action (#3942), thanks to @warner-benjamin

Bugs Squashed

• Fix Pandas Categorical FutureWarning (#3973), thanks to @warner-benjamin
• Fix torch.jit.script on TimmBody (#3948), thanks to @johan12345
• Resolve CutMix Deprecation Warning (#3937), thanks to @warner-benjamin
• Fixed format string (#3934), thanks to @bkowshik
• Fix casting types for mps (#3912), thanks to @MSciesiek
• Fix AccumMetric name.setter (#3621), thanks to @warner-benjamin

v2.7.12

New Features

• PyTorch 2.0 compatibility (#3890), thanks to @warner-benjamin
• Pytorch 2.0 compiler compatibility (#3899), thanks to @ggosline
• Better version support for TensorBase.new_empty (#3887), thanks to @warner-benjamin
• TensorBase deepcopy Compatibility (#3882), thanks to @warner-benjamin
• ChannelsLast Callback Improvements & Bug Fix (#3876), thanks to @warner-benjamin
• Add support for a batch transforms to method (#3875), thanks to @warner-benjamin
• Allow Pillow Image to be passed to PILBase.create (#3872), thanks to @warner-benjamin

Bugs Squashed

• Fix Learn.predict Errors Out if Passed a PILImage (#3884), thanks to @nglillywhite
• Set DataLoaders device if not None and to exists (#3873), thanks to @warner-benjamin
• Fix default_device to correctly detect + use mps (Apple Silicon) (#3858), thanks to @wolever

v2.7.11

New Features

• ChannelsLast Callback Improvements, Additional Documentation, & Bug Fix (#3876), thanks to @warner-benjamin
• Add support for a batch transforms to method (#3875), thanks to @warner-benjamin
• Allow Pillow Image to be passed to PILBase.create (#3872), thanks to @warner-benjamin
• Compat with latest numpy (#3871), thanks to @warner-benjamin
• Move training-only step to separate function in Learner (#3857), thanks to @kunaltyagi
• TabularPandas data transform reproducibility (#2826)

Bugs Squashed

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

v2.7.10

New Features

• Add torch save and load kwargs (#3831), thanks to @JonathanGrant
  • This lets us do nice things like set pickle_module to cloudpickle
• PyTorch 1.13 Compatibility (#3828), thanks to @warner-benjamin
• Recursive copying of attribute dictionaries for TensorImage subclass (#3822), thanks to @restlessronin
• OptimWrapper sets same param groups as Optimizer (#3821), thanks to @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), thanks to @marib00
• Add img_cls param to ImageDataLoaders (#3808), thanks to @tcapelle
  • This is particularly useful for passing PILImageBW for MNIST.
• Add support for kwargs to tensor() when arg is an ndarray (#3797), thanks to @SaadAhmedGit
• Add latest TorchVision models on fastai (#3791), thanks to @datumbox
• Option to preserve filenames in download_images (#2983), thanks to @mess-lelouch

Bugs Squashed

• get_text_classifier fails with custom AWS_LSTM (#3817)
• revert auto-enable of mac mps due to pytorch limitations (#3769)
• Workaround for performance bug in PyTorch with subclassed tensors (#3683), thanks to @warner-benjamin

v2.7.8

New Features

• add split value argument to ColSplitter (#3737), thanks to @DanteOz
• deterministic repr for PIL images (#3762)
• option to skip default callbacks in Learner (#3739)
• update for nbdev2 (#3747)

Bugs Squashed

• IntToFloatTensor failing on Mac mps due to missing op (#3761)
• fix for pretrained in vision.learner (#3746), thanks to @peterdudfield
• fix same file error message when resizing image (#3743), thanks to @cvergnes

v2.7.6

New Features

• Initial Mac GPU (mps) support (#3719)

v2.7.5

New Features

• auto-normalize timm models (#3716)
• PyTorch 1.12 support

v2.7.4

New Features

• Add DataBlock.weighted_dataloaders (#3706)