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 jaxlib from 0.1.61 to 0.1.70 #216

Closed dependabot[bot] closed 3 years ago

dependabot[bot] commented 3 years ago

Bumps jaxlib from 0.1.61 to 0.1.70.

Changelog

Sourced from jaxlib's changelog.

jaxlib 0.1.70 (Aug 9, 2021)

  • Breaking changes:
    • Support for Python 3.6 has been dropped, per the deprecation policy. Please upgrade to a supported Python version.

    • Support for NumPy 1.17 has been dropped, per the deprecation policy. Please upgrade to a supported NumPy version.

    • The host_callback mechanism now uses one thread per local device for making the calls to the Python callbacks. Previously there was a single thread for all devices. This means that the callbacks may now be called interleaved. The callbacks corresponding to one device will still be called in sequence.

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 an 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

... (truncated)

Commits
  • 40ccad8 Update WORKSPACE
  • 73dfd23 Merge pull request #7525 from hawkinsp:callback
  • a2a6084 Use MainTrace payload mechanism in experimental callback tracer.
  • d2bd017 Merge pull request #7515 from jakevdp:numpy-rank-promotion
  • 6114e6a test_util: add decorator to set config values in test cases
  • df69062 Merge pull request #7522 from jakevdp:super
  • 3a469d5 Merge pull request #7521 from jakevdp:missing-super
  • d83450d Merge pull request #7523 from yashk2810:bazel
  • be2f9b9 Merge pull request #7519 from hawkinsp:variadic
  • b24574f Fix the regex
  • Additional commits viewable in compare view


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dependabot[bot] commented 3 years ago

Superseded by #224.