Update jaxlib requirement from <=0.4.14 to <=0.4.33 in /tests

[dependabot]

Updates the requirements on jaxlib to permit the latest version.

Changelog

Sourced from jaxlib's changelog.

jax 0.4.33 (September 16, 2024)

This is a patch release on top of jax 0.4.32, that fixes two bugs found in that release.

A TPU-only data corruption bug was found in the version of libtpu pinned by JAX 0.4.32, which manifested only if multiple TPU slices were present in the same job, for example, if training on multiple v5e slices. This release fixes that issue by pinning a fixed version of libtpu.

This release fixes an inaccurate result for F64 tanh on CPU (#23590).

jax 0.4.32 (September 11, 2024)

Note: This release was yanked from PyPi because of a data corruption bug on TPU. See the 0.4.33 release notes for more details.

• New Functionality

  • Added {func}jax.extend.ffi.ffi_call and {func}jax.extend.ffi.ffi_lowering to support the use of the new {ref}ffi-tutorial to interface with custom C++ and CUDA code from JAX.

• Changes

  • jax_pmap_no_rank_reduction flag is set to True by default.
    • array[0] on a pmap result now introduces a reshape (use array[0:1] instead).
    • The per-shard shape (accessable via jax_array.addressable_shards or jax_array.addressable_data(0)) now has a leading (1, ...). Update code that directly accesses shards accordingly. The rank of the per-shard-shape now matches that of the global shape which is the same behavior as jit. This avoids costly reshapes when passing results from pmap into jit.
  • jax_enable_memories flag is set to True by default.
  • {mod}jax.numpy now supports v2023.12 of the Python Array API Standard. See {ref}python-array-api for more information.
  • Computations on the CPU backend may now be dispatched asynchronously in more cases. Previously non-parallel computations were always dispatched synchronously. You can recover the old behavior by setting jax.config.update('jax_cpu_enable_async_dispatch', False).
  • Added new {func}jax.process_indices function to replace the jax.host_ids() function that was deprecated in JAX v0.2.13.
  • To align with the behavior of numpy.fabs, jax.numpy.fabs has been modified to no longer support complex dtypes.
  • jax.tree_util.register_dataclass now checks that data_fields and meta_fields includes all dataclass fields with init=True and only them, if nodetype is a dataclass.
  • Several {mod}jax.numpy functions now have full {class}~jax.numpy.ufunc interfaces, including {obj}~jax.numpy.add, {obj}~jax.numpy.multiply, {obj}~jax.numpy.bitwise_and, {obj}~jax.numpy.bitwise_or, {obj}~jax.numpy.bitwise_xor, {obj}~jax.numpy.logical_and, {obj}~jax.numpy.logical_and, and {obj}~jax.numpy.logical_and.

... (truncated)

Commits

• 80e1c94 Prepare for v0.4.33 release.
• 1594d2f Prepare for v0.4.32 release.
• ed849ff Make sure to call the superclass' init() on a newly created instance in P...
• 2bd1fde Relax test tolerance in pinv test to fix a CI failure on Windows CPU.
• e869a9d Merge pull request #23415 from kaixih:key_value_seq_lengths
• ea68f45 Internal change
• 49dd6ed Disable a pallas export compatibility test that fails on TPU v6e.
• 808003b Update users of jax.tree.map() to be more careful about how they handle Nones.
• e3c4b20 [Pallas] Implement tiled and swizzled Memref loads for Mosaic GPU via "GPUBlo...
• c659dc9 [Pallas] Disable win32 gpu_ops_test.
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