v8.0.16: Bug fixes
โจ New features and improvements
- Make
Ops.asarray
implementations more robust.
๐ด 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 inCupyOps.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
andNumpyOps.adam
.
โ ๏ธ Backwards incompatibilities
- The
init
implementations for layers no longer returnModel
.
๐ Documentation and examples
- Add notebook demonstrating Bloom embeddings.
- Fix LSTM benchmark example.
- Update installation instructions.
๐ฅ Contributors
@adrianeboyd, @danieldk, @honnibal, @ines, @kadarakos, @koaning, @notplus, @richardpaulhudson, @shadeMe