Bump jaxlib from 0.1.56 to 0.1.75

[dependabot]

Bumps jaxlib from 0.1.56 to 0.1.75.

Release notes

Sourced from jaxlib's releases.

Jaxlib release v0.1.75

• New features:
  • Support for python 3.10.

Jaxlib release v0.1.74

No release notes provided.

Jaxlib release v0.1.73

No release notes provided.

jaxlib release v0.1.72

No release notes provided.

Jaxlib release v0.1.71

No release notes provided.

jaxlib v0.1.70 release

No release notes provided.

Changelog

Sourced from jaxlib's changelog.

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 FILL_OR_DROP semantics, as documented. This primarily afects the reverse-mode derivative, where gradients corresponding to out-of-bounds indices will now be returned as 0. (#8634).
  • jax2tf will force the converted code to use XLA for the code fragments under jax.jit, e.g., most jax.numpy functions ({jax-issue}[#7839](https://github.com/google/jax/issues/7839)).

jaxlib 0.1.74 (Nov 17, 2021)

• Enabled peer-to-peer copies between GPUs. Previously, GPU copies were bounced via the host, which is usually slower.
• Added experimental MLIR Python bindings for use by JAX.

jax 0.2.25 (Nov 10, 2021)

• GitHub commits.

• New features:

  • (Experimental) jax.distributed.initialize exposes multi-host GPU backend.
  • jax.random.permutation supports new independent keyword argument ({jax-issue}[#8430](https://github.com/google/jax/issues/8430))

• Breaking changes

  • Moved jax.experimental.stax to jax.example_libraries.stax
  • Moved jax.experimental.optimizers to jax.example_libraries.optimizers

• New features:

  • Added jax.lax.linalg.qdwh.

jax 0.2.24 (Oct 19, 2021)

• GitHub commits.

• New features:

  • jax.random.choice and jax.random.permutation now support multidimensional arrays and an optional axis argument ({jax-issue}[#8158](https://github.com/google/jax/issues/8158))

• Breaking changes:

  • jax.numpy.take and jax.numpy.take_along_axis now require array-like inputs (see {jax-issue}[#7737](https://github.com/google/jax/issues/7737))

jaxlib 0.1.73 (Oct 18, 2021)

• Multiple cuDNN versions are now supported for jaxlib GPU cuda11 wheels.
  • cuDNN 8.2 or newer. We recommend using the cuDNN 8.2 wheel if your cuDNN

... (truncated)

Commits

• 2f4bd11 Merge pull request #8842 from google:yashk2810-patch-3
• b0b853c Update WORKSPACE
• 06cd1fe Move dtype canonicalization out of core.AbstractValue subclasses.
• 56f029f [jax] Add computation name to cache hit logging.
• 803d3f2 Merge pull request #8829 from LenaMartens:changelist/414499911
• bbf1a9b Add checkify rule for scan.
• 068bfbf Remove the TODO
• 0bb7d20 Move serialization/de-serialization of GDA into jax.
• 5de2cec Thread is_gda to lower_mesh_computation. This is required because to lift t...
• 01dd34b [MLIR] Use XLA implementation of sinh, instead of the CHLO lowering.
• Additional commits viewable in compare view

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[dependabot]

Superseded by #281.