Bump jaxlib from 0.1.61 to 0.1.72

[dependabot[bot]]

Bumps jaxlib from 0.1.61 to 0.1.72.

Changelog

Sourced from jaxlib's changelog.

jaxlib 0.1.72 (Oct 12, 2021)

• Breaking changes:
  • Support for CUDA 10.2 and CUDA 10.1 has been dropped. Jaxlib now supports CUDA 11.1+.
• Bug fixes:
  • Fixes google/jax#7461, which caused wrong outputs on all platforms due to incorrect buffer aliasing inside the XLA compiler.

jax 0.2.21 (Sept 23, 2021)

• GitHub commits.
• 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, and jax.lax.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 ({jax-issue}[#7925](https://github.com/google/jax/issues/7925)).
  • Many more jax.numpy functions now require array-like inputs, and will error if passed a list ({jax-issue}[#7747](https://github.com/google/jax/issues/7747) {jax-issue}[#7802](https://github.com/google/jax/issues/7802) {jax-issue}[#7907](https://github.com/google/jax/issues/7907)). See {jax-issue}[#7737](https://github.com/google/jax/issues/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 ({jax-issue}7927).
• New features:
  • Added {func}jax.numpy.insert implementation ({jax-issue}[#7936](https://github.com/google/jax/issues/7936)).

jax 0.2.20 (Sept 2, 2021)

• GitHub commits.
• Breaking Changes
  • jnp.poly* functions now require array-like inputs ({jax-issue}[#7732](https://github.com/google/jax/issues/7732))
  • jnp.unique and other set-like operations now require array-like inputs ({jax-issue}[#7662](https://github.com/google/jax/issues/7662))

jaxlib 0.1.71 (Sep 1, 2021)

• Breaking changes:
  • Support for CUDA 11.0 and CUDA 10.1 has been dropped. Jaxlib now supports CUDA 10.2 and CUDA 11.1+.

... (truncated)

Commits

• d8b7bd5 Merge pull request #8181 from skye:workspace
• 49a3b37 Update WORKSPACE for jaxlib 0.1.72 release
• ef3e3b5 Rollback fix repr() of jit-compiled functions
• 7fa6b1b Merge pull request #8160 from Jakob-Unfried:main
• 40ee7f2 Merge pull request #8164 from jakevdp:bcoo-dedupe-pad
• ccc8b72 Merge pull request #8153 from apaszke:while-loop-batching
• bec943c fix fori_loop and scan when trivial and with disable_jit
• a8ce40b Merge pull request #7989 from gnecula:remat_docstring
• b8dc8ca Fix while loop batching rule for loops with constant bodies
• cfa0f78 Merge pull request #8140 from jakevdp:nanstd-grad
• Additional commits viewable in compare view

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Superseded by #227.