google-deepmind/tf2jax v0.3.6
google-deepmind/tf2jax
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tf2jax 0.3.6
Repository: google-deepmind/tf2jax
Tag: v0.3.6
Published: 2024-03-26T10:37:59Z
Prerelease: no
Release notes:
What's Changed
- Add Cumprod to tf2jax ops. https://github.com/google-deepmind/tf2jax/pull/149
- Fix squeeze in tf2jax for empty tuple axis arguments. https://github.com/google-deepmind/tf2jax/pull/150
- Update expected attrs of VarHandleOp -- add debug_name. https://github.com/google-deepmind/tf2jax/pull/154
- Only enable shape assertions during refinement if all input shapes are static. https://github.com/google-deepmind/tf2jax/pull/155
- Refactor is_poly_dim to avoid depending on hard-coded module path. https://github.com/google-deepmind/tf2jax/pull/156
- Avoid reuse of polymorphic variable names in tf2jax internal. https://github.com/google-deepmind/tf2jax/pull/158
- Update deepmind -> google-deepmind. https://github.com/google-deepmind/tf2jax/pull/159
- Change conversion of library functions and gradient functions to be lazy. https://github.com/google-deepmind/tf2jax/pull/162
- Fix gradient function lookup error when higher order gradient functions are referenced in a jax2tf model but not serialized. https://github.com/google-deepmind/tf2jax/pull/164
- Enforce autograph=False on gradient function. https://github.com/google-deepmind/tf2jax/pull/172
- Update chex and haiku version in https://github.com/google-deepmind/tf2jax/pull/175
- Fix shape inference for jax2tf vjp functions. https://github.com/google-deepmind/tf2jax/pull/180
- Support native serialization with multiple target platforms. https://github.com/google-deepmind/tf2jax/pull/183
Full Changelog: https://github.com/google-deepmind/tf2jax/compare/v0.3.5...v0.3.6