Flash Serve, FiftyOne Integration, Multi-label Text Classification, and JIT Support

[ethanwharris]

[0.4.0] - 2021-06-22

Added

• Added integration with FiftyOne (#360)
• Added flash.serve (#399)
• Added support for torch.jit to tasks where possible and documented task JIT compatibility (#389)
• Added option to provide a Sampler to the DataModule to use when creating a DataLoader (#390)
• Added support for multi-label text classification and toxic comments example (#401)
• Added a sanity checking feature to flash.serve (#423)

Changed

• Split backbone argument to SemanticSegmentation into backbone and head arguments (#412)

Fixed

• Fixed a bug where the DefaultDataKeys.METADATA couldn't be a dict (#393)
• Fixed a bug where the SemanticSegmentation task would not work as expected with finetuning callbacks (#412)
• Fixed a bug where predict batches could not be visualized with ImageClassificationData (#438)

Contributors

@ehofesmann @ethanwharris @fstroth @lillekemiker @tchaton

Additional credits to @rlizzo @hhsecond @lantiga @luiscape for building the Flash Serve Engine.

If we forgot someone due to not matching commit email with GitHub account, let us know :]

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This discussion was created from the release Flash Serve, FiftyOne Integration, Multi-label Text Classification, and JIT Support.