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 0.3.15 #323

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps jax from 0.2.8 to 0.3.15.

Release notes

Sourced from jax's releases.

jax version 0.3.15

No release notes provided.

jaxlib version 0.3.15

No release notes provided.

JAX release v0.3.14

No release notes provided.

Jaxlib release v0.3.14

No release notes provided.

JAX release v0.3.13

No release notes provided.

Jax release v0.3.12

Jax release v0.3.11

  • Changes
    • {func}jax.lax.eigh now accepts an optional sort_eigenvalues argument that allows users to opt out of eigenvalue sorting on TPU.
  • Deprecations
    • Non-array arguments to functions in {mod}jax.lax.linalg are now marked keyword-only. As a backward-compatibility step passing keyword-only arguments positionally yields a warning, but in a future JAX release passing keyword-only arguments positionally will fail. However, most users should prefer to use {mod}jax.numpy.linalg instead.
    • {func}jax.scipy.linalg.polar_unitary, which was a JAX extension to the scipy API, is deprecated. Use {func}jax.scipy.linalg.polar instead.

Jax release v0.3.10

No release notes provided.

Jaxlib release v0.3.10

No release notes provided.

Jax release 0.3.9

  • Changes
    • Added support for fully asynchronous checkpointing for GlobalDeviceArray.

JAX release v0.3.8

  • GitHub commits.
  • Changes
    • {func}jax.numpy.linalg.svd on TPUs uses a qdwh-svd solver.
    • {func}jax.numpy.linalg.cond on TPUs now accepts complex input.
    • {func}jax.numpy.linalg.pinv on TPUs now accepts complex input.
    • {func}jax.numpy.linalg.matrix_rank on TPUs now accepts complex input.
    • {func}jax.scipy.cluster.vq.vq has been added.

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.3.15 (Unreleased)

  • GitHub commits.
  • Changes
    • JaxTestCase and JaxTestLoader have been removed from jax.test_util. These classes have been deprecated since v0.3.1 ({jax-issue}[#11248](https://github.com/google/jax/issues/11248)).
    • Added {class}jax.scipy.gaussian_kde ({jax-issue}[#11237](https://github.com/google/jax/issues/11237)).
    • Binary operations between JAX arrays and built-in collections (dict, list, set, tuple) now raise a TypeError in all cases. Previously some cases (particularly equality and inequality) would return boolean scalars inconsistent with similar operations in NumPy ({jax-issue}[#11234](https://github.com/google/jax/issues/11234)).
    • {mod}jax.tree_util routines accessed as top-level JAX package imports are now deprecated, and will be removed in a future JAX release in accordance with the {ref}api-compatibility policy:
      • {func}jax.treedef_is_leaf is deprecated in favor of {func}jax.tree_util.treedef_is_leaf
      • {func}jax.tree_flatten is deprecated in favor of {func}jax.tree_util.tree_flatten
      • {func}jax.tree_leaves is deprecated in favor of {func}jax.tree_util.tree_leaves
      • {func}jax.tree_map is deprecated in favor of {func}jax.tree_util.tree_map
      • {func}jax.tree_structure is deprecated in favor of {func}jax.tree_util.tree_structure
      • {func}jax.tree_transpose is deprecated in favor of {func}jax.tree_util.tree_transpose
      • {func}jax.tree_unflatten is deprecated in favor of {func}jax.tree_util.tree_unflatten
    • The sym_pos argument of {func}jax.scipy.linalg.solve is deprecated in favor of assume_a='pos', following a similar deprecation in {func}scipy.linalg.solve.
  • Deprecations:
    • {func}jax.mask {func}jax.shapecheck APIs have been removed. See {jax-issue}[#11557](https://github.com/google/jax/issues/11557).

jaxlib 0.3.15 (Unreleased)

jax 0.3.14 (June 27, 2022)

  • GitHub commits.
  • Breaking changes
    • {func}jax.experimental.compilation_cache.initialize_cache does not support max_cache_size_ bytes anymore and will not get that as an input.
    • JAX_PLATFORMS now raises an exception when platform initialization fails.
  • Changes
    • Fixed compatibility problems with NumPy 1.23.
    • {func}jax.numpy.linalg.slogdet now accepts an optional method argument that allows selection between an LU-decomposition based implementation and an implementation based on QR decomposition.
    • {func}jax.numpy.linalg.qr now supports mode="raw".
    • pickle, copy.copy, and copy.deepcopy now have more complete support when used on jax arrays ({jax-issue}[#10659](https://github.com/google/jax/issues/10659)). In particular:
      • pickle and deepcopy previously returned np.ndarray objects when used on a DeviceArray; now DeviceArray objects are returned. For deepcopy, the copied array is on the same device as the original. For pickle the deserialized array will be on the default device.
      • Within function transformations (i.e. traced code), deepcopy and copy previously were no-ops. Now they use the same mechanism as DeviceArray.copy().
      • Calling pickle on a traced array now results in an explicit ConcretizationTypeError.
    • The implementation of singular value decomposition (SVD) and symmetric/Hermitian eigendecomposition should be significantly faster on

... (truncated)

Commits
  • 1a7c883 Merge pull request #11589 from skye:workspace
  • 26fbeb6 Update WORKSPACE and libtpu version for jaxlib 0.3.15, take 3
  • e121e81 Merge pull request #11536 from sharadmv:colab-debugger
  • 0b6657e Merge pull request #11556 from RuffaloLavoisier:tYpO
  • 4870710 Enable debugging callbacks with pjit on TPU
  • 8a67734 Merge pull request #11579 from sharadmv:fix-effects
  • 7f0b917 Merge pull request #11575 from gnecula:ds_progress
  • 24134ec Merge pull request #11425 from pschuh:pjit-bugfix
  • 540ee56 Merge pull request #11576 from jakevdp:searchsorted-alt
  • d6c172d Fix PE not allowing double JIT-ted effectful functions
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #325.