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@kohpangwei kohpangwei released this 04 Aug 23:31
· 10 commits to main since this release
v1.2.2
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Learn about vigilant mode.

v1.2.2 contains several minor changes:

  • Added a check to make sure that a group data loader is used whenever n_groups_per_batch or distinct_groups are passed in as arguments to examples/run_expt.py. (#79)
  • Data augmentations now only transform x by default. Set do_transform_y when initializing the WILDSSubset to modify both x and y. (#77)
  • For FasterRCNN, we now use the PyTorch implementation of smooth_l1_loss instead of the custom torchvision implementation, which was removed in torchvision v0.10.
  • Updated the requirements to include torchvision, scipy, and scikit-learn. Previously, torchvision was only needed for the example scripts. However, it is now also used for computing metrics in the GlobalWheat-WILDS dataset, so we have moved it into the core set of requirements.
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