asmith26 / jax_toolkit

A collection of jax functions to help with common machine/deep learning related functionality.
https://asmith26.github.io/jax_toolkit/
Apache License 2.0
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Bump jax from 0.2.8 to 0.3.7 #290

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps jax from 0.2.8 to 0.3.7.

Release notes

Sourced from jax's releases.

JAX release v0.3.6

  • Changes:
    • Upgraded libtpu wheel to the fixed version. Fixes #10218.

JAX release v0.3.5

Changes

  • added jax.random.loggamma & improved behavior of jax.random.beta and jax.random.dirichlet for small parameter values (#9906).
  • the private lax_numpy submodule is no longer exposed in the jax.numpy namespace (#10029).
  • added array creation routines jax.numpy.frombuffer, jax.numpy.fromfunction, and jax.numpy.fromstring (#10049).
  • DeviceArray.copy() now returns a DeviceArray rather than a np.ndarray (#10069)
  • added jax.scipy.linalg.rsf2csf
  • Deprecations:
    • jax.nn.normalize is being deprecated. Use jax.nn.standardize instead (#9899).
    • jax.tree_util.tree_multimap is deprecated. Use jax.tree_util.tree_map instead (#5746).
    • jax.experimental.sharded_jit is deprecated. Use pjit instead.

JAX release v0.3.4

Fix a bug introduced in #9923.

JAX release v0.3.3

Jax release v0.3.1

  • Changes:
    • jax.test_util.JaxTestCase and jax.test_util.JaxTestLoader are now deprecated. The suggested replacement is to use parametrized.TestCase directly. For tests that rely on custom asserts such as JaxTestCase.assertAllClose(), the suggested replacement is to use standard numpy testing utilities such as numpy.testing.assert_allclose(), which work directly with JAX arrays (#9620 ).
    • jax.test_util.JaxTestCase now sets jax_numpy_rank_promotion='raise' by default (#9562 ). To recover the previous behavior, use the new jax.test_util.with_config decorator:
      @jtu.with_config(jax_numpy_rank_promotion='allow')
      class MyTestCase(jtu.JaxTestCase):
        ...
      
    • Added jax.scipy.linalg.schur, jax.scipy.linalg.sqrtm, jax.scipy.signal.csd, jax.scipy.signal.stft, jax.scipy.signal.welch.

Jax release v0.3.0

  • Changes
    • jax version has been bumped to 0.3.0. Please see the design doc for the explanation.

Jaxlib release v0.3.0

  • Changes

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.3.7 (April 15, 2022)

  • GitHub commits.
  • Changes:
    • Fixed a performance problem if the indices passed to {func}jax.numpy.take_along_axis were broadcasted ({jax-issue}[#10281](https://github.com/google/jax/issues/10281)).
    • {func}jax.scipy.special.expit and {func}jax.scipy.special.logit now require their arguments to be scalars or JAX arrays. They also now promote integer arguments to floating point.
    • The DeviceArray.tile() method is deprecated, because numpy arrays do not have a tile() method. As a replacement for this, use {func}jax.numpy.tile ({jax-issue}[#10266](https://github.com/google/jax/issues/10266)).

jaxlib 0.3.7 (April 15, 2022)

  • Changes:
    • Linux wheels are now built conforming to the manylinux2014 standard, instead of manylinux2010.

jax 0.3.6 (April 12, 2022)

  • GitHub commits.
  • Changes:
    • Upgraded libtpu wheel to a version that fixes a hang when initializing a TPU pod. Fixes #10218.
  • Deprecations:
    • {mod}jax.experimental.loops is being deprecated. See {jax-issue}[#10278](https://github.com/google/jax/issues/10278) for an alternative API.

jax 0.3.5 (April 7, 2022)

  • GitHub commits.
  • Changes:
    • added {func}jax.random.loggamma & improved behavior of {func}jax.random.beta and {func}jax.random.dirichlet for small parameter values ({jax-issue}[#9906](https://github.com/google/jax/issues/9906)).
    • the private lax_numpy submodule is no longer exposed in the jax.numpy namespace ({jax-issue}[#10029](https://github.com/google/jax/issues/10029)).
    • added array creation routines {func}jax.numpy.frombuffer, {func}jax.numpy.fromfunction, and {func}jax.numpy.fromstring ({jax-issue}[#10049](https://github.com/google/jax/issues/10049)).
    • DeviceArray.copy() now returns a DeviceArray rather than a np.ndarray ({jax-issue}[#10069](https://github.com/google/jax/issues/10069))
    • added {func}jax.scipy.linalg.rsf2csf
  • Deprecations:
    • {func}jax.nn.normalize is being deprecated. Use {func}jax.nn.standardize instead ({jax-issue}[#9899](https://github.com/google/jax/issues/9899)).
    • {func}jax.tree_util.tree_multimap is deprecated. Use {func}jax.tree_util.tree_map instead ({jax-issue}[#5746](https://github.com/google/jax/issues/5746)).
    • jax.experimental.sharded_jit is deprecated. Use pjit instead.

jaxlib 0.3.5 (April 7, 2022)

  • Bug fixes
    • Fixed a bug where double-precision complex-to-real IRFFTs would mutate their input buffers on GPU ({jax-issue}[#9946](https://github.com/google/jax/issues/9946)).
    • Fixed incorrect constant-folding of complex scatters ({jax-issue}[#10159](https://github.com/google/jax/issues/10159))

... (truncated)

Commits
  • 1189c3c Merge pull request #10312 from hawkinsp:jaxlib
  • 6b33c55 2nd attempt at jax/jaxlib 0.3.7 release.
  • a303e4b Merge pull request #10266 from jakevdp:ndarray-tile
  • 6eec758 [JAX] Don't pass non-integer indices to jnp.take_along_axis
  • 7ffdac0 Skip remote_transfer_test on cloud TPU.
  • a4b8a44 Merge pull request #10288 from YouJiacheng:patch-7
  • be5c84d Deprecate DeviceArray.tile method
  • 4ff6b1f Fix PRNGKeyArray.broadcast_to with scalar shape
  • 470f58c Merge pull request #10309 from hawkinsp:jaxlib
  • 52a97f2 Jax 0.3.7 and jaxlib 0.3.7 release.
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #293.