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 0.2.16 #206

Closed dependabot[bot] closed 3 years ago

dependabot[bot] commented 3 years ago

Bumps jax from 0.2.8 to 0.2.16.

Changelog

Sourced from jax's changelog.

jax 0.2.16 (June 23 2021)

jax 0.2.15 (June 23 2021)

  • GitHub commits.

  • New features:

    • The {func}jax2tf.convert supports inequalities and min/max for booleans ({jax-issue}[#6956](https://github.com/google/jax/issues/6956)).
  • Breaking changes:

  • Bug fixes:

    • Fixed bug that prevented round-tripping from JAX to TF and back: jax2tf.call_tf(jax2tf.convert) ({jax-issue}[#6947](https://github.com/google/jax/issues/6947)).

jax 0.2.14 (June 10 2021)

  • GitHub commits.

  • New features:

    • The {func}jax2tf.convert now has support for pjit and sharded_jit.
    • A new configuration option JAX_TRACEBACK_FILTERING controls how JAX filters tracebacks.
    • A new traceback filtering mode using __tracebackhide__ is now enabled by default in sufficiently recent versions of IPython.
    • The {func}jax2tf.convert supports shape polymorphism even when the unknown dimensions are used in arithmetic operations, e.g., jnp.reshape(-1) ({jax-issue}[#6827](https://github.com/google/jax/issues/6827)).
    • The {func}jax2tf.convert generates custom attributes with location information in TF ops. The code that XLA generates after jax2tf has the same location information as JAX/XLA.
  • Bug fixes:

    • The {func}jax2tf.convert now ensures that it uses the same typing rules for Python scalars and for choosing 32-bit vs. 64-bit computations as JAX ({jax-issue}[#6883](https://github.com/google/jax/issues/6883)).
    • The {func}jax2tf.convert now scopes the enable_xla conversion parameter properly to apply only during the just-in-time conversion ({jax-issue}[#6720](https://github.com/google/jax/issues/6720)).
    • The {func}jax2tf.convert now converts lax.dot_general using the XlaDot TensorFlow op, for better fidelity w.r.t. JAX numerical precision ({jax-issue}[#6717](https://github.com/google/jax/issues/6717)).
    • The {func}jax2tf.convert now has support for inequality comparisons and min/max for complex numbers ({jax-issue}[#6892](https://github.com/google/jax/issues/6892)).

jaxlib 0.1.67 (unreleased)

jaxlib 0.1.66 (May 11 2021)

  • New features:

... (truncated)

Commits
  • c509731 Merge pull request #7084 from skye:version
  • 3da8a4c Update jax version to 0.2.16
  • c985d76 Merge pull request #7082 from zhangqiaorjc:gtsv2fix
  • 4c1856e Merge pull request #7083 from skye:fix_install
  • 7cc277d Test for gtsv2 attr on cusparse.
  • 55276d1 Fix pip install jax[tpu]
  • 2460f91 Revert "Improve support for pip install jax[cuda111]"
  • 9493b31 Merge pull request #7080 from jakevdp:test-dynamic-slice
  • 5bfcb51 Merge pull request #7059 from zhangqiaorjc:cpp_fix
  • 27fc797 Add dynamic slice U8 index test
  • Additional commits viewable in compare view


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dependabot[bot] commented 3 years ago

Superseded by #210.