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Update jax requirement from <0.2.26,>=0.2.21 to >=0.2.21,<0.2.27

Created by: dependabot[bot]

Updates the requirements on jax to permit the latest version.

Release notes

Sourced from jax's releases.

JAX release v0.2.26

  • 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 (#7839).

Changelog

Sourced from jax's changelog.

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 installation is new enough, since it supports additional functionality.
    • cuDNN 8.0.5 or newer.
  • Breaking changes:

... (truncated)

Commits
  • 1b5630e Update jaxlib version number to 0.1.76
  • a081f00 Merge pull request #8850 from froystig:aot-transform
  • 3264045 Restructures jax2tf converters eval directory.
  • 6a821d3 Merge pull request #8843 from jakevdp:lax-dtype-errs
  • b4db8ab Merge pull request #8849 from jakevdp:x64-linalg
  • b980acf detect and err on transformation of AOT-compiled function calls
  • 2143f3d Ensure semantically equivalent PartitionSpecs are considered equivalent when
  • f8e18e9 [x64] minor weak_type changes to linalg.py
  • 4dc3137 Before this change, the local_to_global in the path of dispatching the pjitte...
  • 5779267 Merge pull request #8847 from hawkinsp:tol
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