Bump jax from 0.2.8 to 0.2.24

[dependabot[bot]]

Bumps jax from 0.2.8 to 0.2.24.

Release notes

Sourced from jax's releases.

Jax release v0.2.24

• New features:
  • jax.random.choice and jax.random.permutation now support multidimensional arrays and an optional axis argument (#8158)
• Breaking changes:
  • jax.numpy.take and jax.numpy.take_along_axis now require array-like inputs (see #7737)

Jax release v0.2.21

• New features:

  • Added jax.numpy.insert implementation (#7936 ).

• Breaking Changes

  • jax.api has been removed. Functions that were available as jax.api.* were aliases for functions in jax.*; please use the functions in jax.* instead.
  • jax.partial, jax.lax.partial, and jax.util.partial were accidental exports that have now been removed. Use functools.partial from the Python standard library instead.
  • Boolean scalar indices now raise a TypeError; previously this silently returned wrong results (#7925 ).
  • Many more jax.numpy functions now require array-like inputs, and will error if passed a list (#7747 #7802 #7907 ). See #7737 for a discussion of the rationale behind this change.
  • When inside a transformation such as jax.jit, jax.numpy.array always stages the array it produces into the traced computation. Previously jax.numpy.array would sometimes produce a on-device array, even under a jax.jit decorator. This change may break code that used JAX arrays to perform shape or index computations that must be known statically; the workaround is to perform such computations using classic NumPy arrays instead.
  • jnp.ndarray is now a true base-class for JAX arrays. In particular, this means that for a standard numpy array x, isinstance(x, jnp.ndarray) will now return False (#7927).

Jax release v0.2.20

No release notes provided.

Changelog

Sourced from jax's changelog.

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:

  • The install commands for GPU jaxlib are as follows:

    pip install --upgrade pip
    Installs the wheel compatible with CUDA 11 and cuDNN 8.2 or newer.
    pip install --upgrade "jax[cuda]" -f https://storage.googleapis.com/jax-releases/jax_releases.html
    Installs the wheel compatible with Cuda 11 and cudnn 8.2 or newer.
    pip install jax[cuda11_cudnn82] -f https://storage.googleapis.com/jax-releases/jax_releases.html
    Installs the wheel compatible with Cuda 11 and cudnn 8.0.5 or newer.
    pip install jax[cuda11_cudnn805] -f https://storage.googleapis.com/jax-releases/jax_releases.html
    

jax 0.2.22 (Oct 12, 2021)

• GitHub commits.
• Breaking Changes

  • Static arguments to jax.pmap must now be hashable.

    Unhashable static arguments have long been disallowed on jax.jit, but they were still permitted on jax.pmap; jax.pmap compared unhashable static arguments using object identity.

    This behavior is a footgun, since comparing arguments using object identity leads to recompilation each time the object identity changes. Instead, we now ban unhashable arguments: if a user of jax.pmap wants to compare static arguments by object identity, they can define __hash__ and __eq__ methods on their objects that do that, or wrap their objects in an object that has those operations with object identity

... (truncated)

Commits

• a7c9b6d Update jax version number for jax release.
• 185d7a9 Delete xla_bridge.xla.dtype_to_etype, replace it with jax.interpreters.xla.dt...
• ee752b3 Use cuda11_cudnn82 instead of cuda=11,cudnn=82 because the latter one is ...
• a91cb81 Merge pull request #8269 from jakevdp:sparse-dtype
• 4d8bce1 Add a default cuda installation path and more explicit installation paths for...
• 6bd0c72 Silence some pytype errors.
• fa89f34 [JAX] Port lax translation rules to updated XLA translation rule API.
• fa5d4a2 Merge pull request #8268 from jakevdp:sparsify-weak-types
• fbdeff0 Update the workspace file
• 48bbdbc Change jax.core.DropVar to be a non-singleton.
• Additional commits viewable in compare view

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Superseded by #234.