Update jaxlib requirement from <=0.4.24 to <=0.4.28

[dependabot]

Updates the requirements on jaxlib to permit the latest version.

Release notes

Sourced from jaxlib's releases.

jaxlib v0.4.28

• Bug fixes

  • Fixes a memory corruption bug in the type name of Array and JIT Python objects in Python 3.10 or earlier.
  • Fixed a warning '+ptx84' is not a recognized feature for this target under CUDA 12.4.
  • Fixed a slow compilation problem on CPU.

• Changes

  • The Windows build is now built with Clang instead of MSVC.

Changelog

Sourced from jaxlib's changelog.

jax 0.4.28 (May 9, 2024)

• Bug fixes

  • Reverted a change to make_jaxpr that was breaking Equinox (#21116).

• Deprecations & removals

  • The kind argument to {func}jax.numpy.sort and {func}jax.numpy.argsort is now removed. Use stable=True or stable=False instead.
  • Removed get_compute_capability from the jax.experimental.pallas.gpu module. Use the compute_capability attribute of a GPU device, returned by {func}jax.devices or {func}jax.local_devices, instead.
  • The newshape argument to {func}jax.numpy.reshapeis being deprecated and will soon be removed. Use shape instead.

• Changes

  • The minimum jaxlib version of this release is 0.4.27.

jaxlib 0.4.28 (May 9, 2024)

• Bug fixes

  • Fixes a memory corruption bug in the type name of Array and JIT Python objects in Python 3.10 or earlier.
  • Fixed a warning '+ptx84' is not a recognized feature for this target under CUDA 12.4.
  • Fixed a slow compilation problem on CPU.

• Changes

  • The Windows build is now built with Clang instead of MSVC.

jax 0.4.27 (May 7, 2024)

• New Functionality

  • Added {func}jax.numpy.unstack and {func}jax.numpy.cumulative_sum, following their addition in the array API 2023 standard, soon to be adopted by NumPy.
  • Added a new config option jax_cpu_collectives_implementation to select the implementation of cross-process collective operations used by the CPU backend. Choices available are 'none'(default), 'gloo' and 'mpi' (requires jaxlib 0.4.26). If set to 'none', cross-process collective operations are disabled.

• Changes

  • {func}jax.pure_callback, {func}jax.experimental.io_callback and {func}jax.debug.callback now use {class}jax.Array instead of {class}np.ndarray. You can recover the old behavior by transforming the arguments via jax.tree.map(np.asarray, args) before passing them to the callback.
  • complex_arr.astype(bool) now follows the same semantics as NumPy, returning False where complex_arr is equal to 0 + 0j, and True otherwise.
  • core.Token now is a non-trivial class which wraps a jax.Array. It could

... (truncated)

Commits

• 9e62994 Merge pull request #21135 from hawkinsp:release
• 038dfee Prepare 0.4.28 release.
• f98e707 Update XLA dependency to use revision
• 1a7a2aa Merge pull request #21106 from jakevdp:linalg-precision
• 0c4d81c Merge pull request #21138 from jakevdp:einsum-doc
• 2ddb7ff jnp.linalg: add precision & preferred_element_type to dot-like functions
• eb0b1b0 Merge pull request #21108 from justinjfu/skip_pallas_test_64
• 671fb12 Update the multi-process note in pjit's docstring
• 2be3f6d Merge pull request #21146 from jakevdp:fix-multidot
• 89d25bb Reenable examples_test in Bazel build.
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[dependabot]

Superseded by #9.