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v8.0.16: Bug fixes

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@danieldk danieldk released this 19 May 11:42

โœจ New features and improvements

๐Ÿ”ด Bug fixes

  • Fix issue #624: Support CPU inference for models trained with gradient scaling.
  • Fix issue #633: Fix invalid indexing in Beam when no states have valid transitions.
  • Fix issue #639: Improve PyTorch Tensor handling in CupyOps.asarray.
  • Fix issue #649: Clamp inputs in Ops.sigmoid to prevent overflow.
  • Fix issue #651: Fix type safety issue with model ID assignment.
  • Fix issue #653: Correctly handle Tensorflow GPU tensors in tests.
  • Fix issue #660: Make is_torch_array work without PyTorch installed.
  • Fix issue #664: Fix out of-bounds writes in CupyOps.adam and NumpyOps.adam.

โš ๏ธ Backwards incompatibilities

  • The init implementations for layers no longer return Model.

๐Ÿ“– Documentation and examples

๐Ÿ‘ฅ Contributors

@adrianeboyd, @danieldk, @honnibal, @ines, @kadarakos, @koaning, @notplus, @richardpaulhudson, @shadeMe