asmith26 / jax_toolkit

A collection of jax functions to help with common machine/deep learning related functionality.
https://asmith26.github.io/jax_toolkit/
Apache License 2.0
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Bump jax from 0.2.8 to 0.2.18 #213

Closed dependabot[bot] closed 3 years ago

dependabot[bot] commented 3 years ago

Bumps jax from 0.2.8 to 0.2.18.

Changelog

Sourced from jax's changelog.

jax 0.2.18 (July 21 2021)

  • GitHub commits.

  • Breaking changes:

    • Support for Python 3.6 has been dropped, per the deprecation policy. Please upgrade to a supported Python version.
    • The minimum jaxlib version is now 0.1.69.
    • The backend argument to {py:func}jax.dlpack.from_dlpack has been removed.
  • New features:

    • Added a polar decomposition ({py:func}jax.scipy.linalg.polar).
  • Bug fixes:

    • Tightened the checks for lax.argmin and lax.argmax to ensure they are not used with invalid axis value, or with an empty reduction dimension. ({jax-issue}[#7196](https://github.com/google/jax/issues/7196))

jaxlib 0.1.69 (July 9 2021)

  • Fix bugs in TFRT CPU backend that results in incorrect results.

jax 0.2.17 (July 9 2021)

  • GitHub commits.
  • Bug fixes:
    • Default to the older "stream_executor" CPU runtime for jaxlib <= 0.1.68 to work around #7229, which caused wrong outputs on CPU due to a concurrency problem.
  • New features:
    • New SciPy function {py:func}jax.scipy.special.sph_harm.
    • Reverse-mode autodiff functions ({func}jax.grad, {func}jax.value_and_grad, {func}jax.vjp, and {func}jax.linear_transpose) support a parameter that indicates which named axes should be summed over in the backward pass if they were broadcasted over in the forward pass. This enables use of these APIs in a non-per-example way inside maps (initially only {func}jax.experimental.maps.xmap) ({jax-issue}[#6950](https://github.com/google/jax/issues/6950)).

jax 0.2.16 (June 23 2021)

jax 0.2.15 (June 23 2021)

  • GitHub commits.
  • New features:
    • #7042 Turned on TFRT CPU backend with significant dispatch performance improvements on CPU.
    • The {func}jax2tf.convert supports inequalities and min/max for booleans ({jax-issue}[#6956](https://github.com/google/jax/issues/6956)).

... (truncated)

Commits
  • fba32c3 Merge pull request #7349 from colemanliyah:cache_size_change
  • 86985fd add parameter to initalize_cache function and added init file
  • 93a20ee Merge pull request #7346 from skye:version
  • a7916f1 Bump jax version and CHANGELOG to 0.2.18
  • 8662c5f Merge pull request #7337 from colemanliyah:xmap_and_pjit
  • a830dc9 Merge pull request #7343 from LenaMartens:changelist/385967547
  • 24c9a93 Add shape and dtype of leaked tracer to UnexpectedTracerError.
  • 65c6a6a xmap and pjit integration
  • b884cb4 Merge pull request #7338 from hawkinsp:qdwh
  • 0dfd76a Remove additional info return value from jax.scipy.linalg.polar().
  • Additional commits viewable in compare view


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dependabot[bot] commented 3 years ago

Superseded by #217.