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@SergeyTsimfer SergeyTsimfer released this 30 Dec 11:12
· 291 commits to master since this release
0.8.0
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Learn about vigilant mode.

This release fixes crop behavior of TorchModel, as well as adds new blocks and methods:

  • InternBlock with deformable convolutions
  • separate BottleneckBlock that extends the functionality of ResBlock
  • method for getting a reference to the current TorchModel instance inside train/predict contexts
  • mode parameter for train and predict methods to control nn.Module behavior.

Also, this is the first version after numpy deprecation of autocast to dtype=object of mishaped arrays, so this is fixed in some places.

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