ReleaseGoogle (DeepMind / Gemini)Google (DeepMind / Gemini)published Mar 26, 2024seen 5d

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