v8.0.12: Bug fixes for set_ops and use_ops

🔴 Bug fixes

• Fix issue #553: Switch torch tensor type with set_ops and use_ops.
• Fix issue #554: Always restore original ops after use_ops.

👥 Contributors

@adrianeboyd, @danieldk, @ryndaniels, @svlandeg

v8.0.11: Improved GPU training time

✨ New features and improvements

• Speed up GPU training time with up to ~25% by using cuBLAS for computing Frobenius norms in gradient clipping.
• Give preference to AppleOps (if available) when calling get_ops("cpu").
• Support missing values in CategoricalCrossEntropy when the labels are integers.
• Provide the option to run model.walk with depth-first traversal.
• Wrap forward/init callbacks of a Model in with_debug and with_nvtx_range to facilitate recursively instrumenting models.

🔴 Bug fixes

• Fix issue #537: Fix replace_node on nodes with indirect node refs.

👥 Contributors

@adrianeboyd, @danieldk, @honnibal, @ines, @svlandeg

v8.0.10: Bug fix for get_array_ops

🔴 Bug fixes

• Fix issue #533: Fix get_array_ops for numpy arrays.

👥 Contributors

@adrianeboyd

v8.0.9: Support for NVTX ranges and mypy plugin fixes

✨ New features and improvements

• Add ops registry.
• Enable config overrides to add new keys.
• Allow newer releases of nbconvert and nbformat.
• Layer for marking NVTX ranges.
• Support mixed-precision training in the PyTorch shim (experimental).

🔴 Bug fixes

• Fix issue #521: Fix numpy_ops gemm output.
• Fix issue #525: Fix mypy plugin crash on variadic arguments.

👥 Contributors

@adrianeboyd, @connorbrinton, @danieldk, @honnibal, @ines, @svlandeg

v8.0.8: CategoricalCrossentropy allows negated values

✨ New features and improvements

• Allow negated values in CategoricalCrossentropy

v8.0.7: Bug fixes for n-grams and typing

🔴 Bug fixes

• Fix issue #512: Include final n-gram in NumpyOps.ngrams.
• Fix issue #516: Update initializers for typing in numpy 1.21+.

v8.0.6: Bug fix for backprop_reduce_max GPU kernel

🔴 Bug fixes

• Fix backprop_reduce_max GPU kernel.

v8.0.5: Updates for torch v1.9.0

✨ New features and improvements

• Update to support torch v1.9.0.

v8.0.4: New tuplify and resizable layers, and some bug fixes

✨ New features and improvements

• Add tuplify layer.
• More generic implementation of the concatenate layer.
• Add resizable layer.
• Introduce force parameter for model.set_dim().
• Improve UX when setting the GPU allocator.

🔴 Bug fixes

• Fix issue #492: Fix backpropagation in with_getitem.
• Fix issue #494: Resolve forward refs issue with Pydantic.
• Fix issue #496: Avoid Pydantic versions with security vulnerabilities.

👥 Contributors

@adrianeboyd, @honnibal, @ines, @Kludex, @polm, @svlandeg, @thomashacker

v8.0.3: Bug fixes for config overrides and expand_window

🔴 Bug fixes

• Fix issue #486: Fix expand_window for empty docs on GPU
• Fix issue #487: Require catalogue>=2.0.3 due to performance regressions related to importlib-metadata
• Fix issue #488: Fix config override & interpolate interaction