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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 0.3.2 #274

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps jax from 0.2.8 to 0.3.2.

Release notes

Sourced from jax's releases.

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
    • Bazel 5.0.0 is now required to build jaxlib.
    • jaxlib version has been bumped to 0.3.0. Please see the design doc for the explanation.

JAX release v0.2.28

  • GitHub commits.
    • jax.jit(f).lower(...).compiler_ir() now defaults to the MHLO dialect if no dialect= is passed.
    • The jax.jit(f).lower(...).compiler_ir(dialect='mhlo') now returns an MLIR ir.Module object instead of its string representation.

JAX release v0.2.27

  • GitHub commits.

  • Breaking changes:

    • Support for NumPy 1.18 has been dropped, per the [deprecation policy](https://jax.readthedocs.io/en/latest/ deprecation.html). Please upgrade to a supported NumPy version.
    • The host_callback primitives have been simplified to drop the special autodiff handling for hcb.id_tap and id_print. From now on, only the primals are tapped. The old behavior can be obtained (for a limited time) by setting the JAX_HOST_CALLBACK_AD_TRANSFORMS environment variable, or the --flax_host_callback_ad_transforms flag. Additionally, added documentation for how to implement the old behavior using JAX custom AD APIs ({jax-issue}[#8678](https://github.com/google/jax/issues/8678)).
    • Sorting now matches the behavior of NumPy for 0.0 and NaN regardless of the bit representation. In particular, 0.0 and -0.0 are now treated as equivalent, where previously -0.0 was treated as less than 0.0. Additionally all NaN representations are now treated as equivalent and sorted to the end of the array. Previously negative NaN values were sorted to the front of the array, and NaN values with different internal bit representations were not treated as equivalent, and were sorted according to those bit patterns ({jax- issue}[#9178](https://github.com/google/jax/issues/9178)).
    • {func}jax.numpy.unique now treats NaN values in the same way as np.unique in NumPy versions 1.21 and newer: at most one NaN value will appear in the uniquified output ({jax-issue}9184).

  • Bug fixes:

    • host_callback now supports ad_checkpoint.checkpoint ({jax-issue}[#8907](https://github.com/google/jax/issues/8907)).

  • New features:

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.3.2 (March 16, 2022)

  • GitHub commits.
  • Changes:
    • The functions jax.ops.index_update, jax.ops.index_add, which were deprecated in 0.2.22, have been removed. Please use the .at property on JAX arrays instead, e.g., x.at[idx].set(y).
    • Moved jax.experimental.ann.approx_*_k into jax.lax. These functions are optimized alternatives to jax.lax.top_k.
    • {func}jax.numpy.broadcast_arrays and {func}jax.numpy.broadcast_to now require scalar or array-like inputs, and will fail if they are passed lists (part of {jax-issue}[#7737](https://github.com/google/jax/issues/7737)).
    • The standard jax[tpu] install can now be used with Cloud TPU v4 VMs.
    • pjit now works on CPU (in addition to previous TPU and GPU support).

jaxlib 0.3.2 (March 16, 2022)

  • Changes
    • XlaComputation.as_hlo_text() now supports printing large constants by passing boolean flag print_large_constants=True.
  • Deprecations:
    • The .block_host_until_ready() method on JAX arrays has been deprecated. Use .block_until_ready() instead.

jax 0.3.1 (Feb 18, 2022)

  • GitHub commits.

  • 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 {func}numpy.testing.assert_allclose(), which work directly with JAX arrays ({jax-issue}[#9620](https://github.com/google/jax/issues/9620)).
    • jax.test_util.JaxTestCase now sets jax_numpy_rank_promotion='raise' by default ({jax-issue}[#9562](https://github.com/google/jax/issues/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 {func}jax.scipy.linalg.schur, {func}jax.scipy.linalg.sqrtm, {func}jax.scipy.signal.csd, {func}jax.scipy.signal.stft, {func}jax.scipy.signal.welch.

jax 0.3.0 (Feb 10, 2022)

... (truncated)

Commits
  • 2c23c94 Merge pull request #9920 from skye:release
  • f9775a2 Update CHANGELOG and setup.py for jax + jaxlib 0.3.2 releases
  • 67f1d23 Merge pull request #9909 from mattjj:issue9865
  • 43036e1 improvements to autodidax reduce_sum
  • c35a3ca Merge pull request #9905 from skye:cloud_tpu_init_v4
  • b36cd25 Add TPU v4 support to cloud_tpu_init
  • f47ce79 Merge pull request #9901 from jakevdp:fix-int-x64
  • 36dabf1 jnp.unique: avoid constructing arrays with explicit int64
  • 5354a01 Merge pull request #9897 from jakevdp:numpy-doc
  • 846c480 Set in_positional_semantics should be GLOBAL for fully replicated values to a...
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #276.