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Update jax requirement from <0.2.27,>=0.2.23 to >=0.2.23,<0.2.28

Vicentini Filippo requested to merge dependabot/pip/jax-gte-0.2.23-and-lt-0.2.28 into master

Created by: dependabot[bot]

Updates the requirements on jax to permit the latest version.

Release notes

Sourced from jax's releases.

JAX release v0.2.27

  • GitHub commits.

  • Breaking changes:

    • Support for NumPy 1.18 has been dropped, per the [deprecation policy](https://jax.readthedocs.io/en/latest/ deprecation.html). Please upgrade to a supported NumPy version.
    • The host_callback primitives have been simplified to drop the special autodiff handling for hcb.id_tap and id_print. From now on, only the primals are tapped. The old behavior can be obtained (for a limited time) by setting the JAX_HOST_CALLBACK_AD_TRANSFORMS environment variable, or the --flax_host_callback_ad_transforms flag. Additionally, added documentation for how to implement the old behavior using JAX custom AD APIs ({jax-issue}[#8678](https://github.com/google/jax/issues/8678)).
    • Sorting now matches the behavior of NumPy for 0.0 and NaN regardless of the bit representation. In particular, 0.0 and -0.0 are now treated as equivalent, where previously -0.0 was treated as less than 0.0. Additionally all NaN representations are now treated as equivalent and sorted to the end of the array. Previously negative NaN values were sorted to the front of the array, and NaN values with different internal bit representations were not treated as equivalent, and were sorted according to those bit patterns ({jax- issue}[#9178](https://github.com/google/jax/issues/9178)).
    • {func}jax.numpy.unique now treats NaN values in the same way as np.unique in NumPy versions 1.21 and newer: at most one NaN value will appear in the uniquified output ({jax-issue}9184).

  • Bug fixes:

    • host_callback now supports ad_checkpoint.checkpoint ({jax-issue}[#8907](https://github.com/google/jax/issues/8907)).

  • New features:

    • add jax.block_until_ready ({jax-issue}`#8941)
    • Added a new debugging flag/environment variable JAX_DUMP_IR_TO=/path. If set, JAX dumps the MHLO/HLO IR it generates for each computation to a file under the given path.
    • Added jax.ensure_compile_time_eval to the public api ({jax-issue}[#7987](https://github.com/google/jax/issues/7987)).
    • jax2tf now supports a flag jax2tf_associative_scan_reductions to change the lowering for associative reductions, e.g., jnp.cumsum, to behave like JAX on CPU and GPU (to use an associative scan). See the jax2tf README for more details ({jax-issue}[#9189](https://github.com/google/jax/issues/9189)).
Changelog

Sourced from jax's changelog.

jax 0.2.27 (Jan 18 2022)

  • GitHub commits.

  • Breaking changes:

    • Support for NumPy 1.18 has been dropped, per the deprecation policy. Please upgrade to a supported NumPy version.
    • The host_callback primitives have been simplified to drop the special autodiff handling for hcb.id_tap and id_print. From now on, only the primals are tapped. The old behavior can be obtained (for a limited time) by setting the JAX_HOST_CALLBACK_AD_TRANSFORMS environment variable, or the --flax_host_callback_ad_transforms flag. Additionally, added documentation for how to implement the old behavior using JAX custom AD APIs ({jax-issue}[#8678](https://github.com/google/jax/issues/8678)).
    • Sorting now matches the behavior of NumPy for 0.0 and NaN regardless of the bit representation. In particular, 0.0 and -0.0 are now treated as equivalent, where previously -0.0 was treated as less than 0.0. Additionally all NaN representations are now treated as equivalent and sorted to the end of the array. Previously negative NaN values were sorted to the front of the array, and NaN values with different internal bit representations were not treated as equivalent, and were sorted according to those bit patterns ({jax-issue}[#9178](https://github.com/google/jax/issues/9178)).
    • {func}jax.numpy.unique now treats NaN values in the same way as np.unique in NumPy versions 1.21 and newer: at most one NaN value will appear in the uniquified output ({jax-issue}9184).

  • Bug fixes:

    • host_callback now supports ad_checkpoint.checkpoint ({jax-issue}[#8907](https://github.com/google/jax/issues/8907)).

  • New features:

    • add jax.block_until_ready ({jax-issue}`#8941)
    • Added a new debugging flag/environment variable JAX_DUMP_IR_TO=/path. If set, JAX dumps the MHLO/HLO IR it generates for each computation to a file under the given path.
    • Added jax.ensure_compile_time_eval to the public api ({jax-issue}[#7987](https://github.com/google/jax/issues/7987)).
    • jax2tf now supports a flag jax2tf_associative_scan_reductions to change the lowering for associative reductions, e.g., jnp.cumsum, to behave like JAX on CPU and GPU (to use an associative scan). See the jax2tf README for more details ({jax-issue}[#9189](https://github.com/google/jax/issues/9189)).

jaxlib 0.1.75 (Dec 8, 2021)

  • New features:
    • Support for python 3.10.

jax 0.2.26 (Dec 8, 2021)

  • GitHub commits.

  • Bug fixes:

    • Out-of-bounds indices to jax.ops.segment_sum will now be handled with

... (truncated)

Commits
  • 4c423c3 Speed up check_jaxpr().
  • e30b96c Merge pull request #9201 from LenaMartens:changelist/420794552
  • 8ea8576 Checkify: add way to disable categories of errors.
  • 6411f8a Merge pull request #9184 from jakevdp:unique-nan
  • bebe984 Merge pull request #9205 from jakevdp:einsum-tuple
  • b92db58 Canonicalize parsed partition spec before passing to lower_mesh_computation. ...
  • b509aae Split lax_control_flow_test into three separate tests.
  • c9169fa Merge pull request #9189 from gnecula:tf_reduce_window
  • 77d60cf einsum: clarify use of precision.
  • 7f07f1b Merge pull request #9200 from google:LenaMartens-patch-1
  • Additional commits viewable in compare view

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