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 0.3.12 #299

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps jax from 0.2.8 to 0.3.12.

Release notes

Sourced from jax's releases.

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.
    • jax.experimental.maps.mesh has been deleted. Please use jax.experimental.maps.Mesh. Please see https://jax.readthedocs.io/en/latest/_autosummary/jax.experimental.maps.Mesh.html#jax.experimental.maps.Mesh for more information.
    • {func}jax.scipy.linalg.qr now returns a length-1 tuple rather than the raw array when mode='r', in order to match the behavior of scipy.linalg.qr ({jax-issue}[#10452](https://github.com/google/jax/issues/10452))
    • {func}jax.numpy.take_along_axis now takes an optional mode parameter that specifies the behavior of out-of-bounds indexing. By default, invalid values (e.g., NaN) will be returned for out-of-bounds indices. In previous versions of JAX, invalid indices were clamped into range. The previous behavior can be restored by passing mode="clip".
    • {func}jax.numpy.take now defaults to mode="fill", which returns invalid values (e.g., NaN) for out-of-bounds indices.
    • Scatter operations, such as x.at[...].set(...), now have "drop" semantics. This has no effect on the scatter operation itself, but it means that when differentiated the gradient of a scatter will yield zero cotangents for out-of-bounds indices. Previously out-of-bounds indices were clamped into range for the gradient, which was not mathematically correct.
    • {func}jax.numpy.take_along_axis now raises a TypeError if its indices are not of an integer type, matching the behavior of {func}numpy.take_along_axis. Previously non-integer indices were silently cast to integers.
    • {func}jax.numpy.ravel_multi_index now raises a TypeError if its dims argument is not of an integer type, matching the behavior of {func}numpy.ravel_multi_index. Previously non-integer dims was silently cast to integers.
    • {func}jax.numpy.split now raises a TypeError if its axis argument is not of an integer type, matching the behavior of {func}numpy.split. Previously non-integer axis was silently cast to integers.
    • {func}jax.numpy.indices now raises a TypeError if its dimensions are not of an integer type, matching the behavior of {func}numpy.indices. Previously non-integer dimensions were silently cast to integers.
    • {func}jax.numpy.diag now raises a TypeError if its k argument is not of an integer type, matching the behavior of {func}numpy.diag. Previously non-integer k was silently cast to integers.
    • Added {func}jax.random.orthogonal.
  • Deprecations

... (truncated)

Changelog

Sourced from jax's changelog.

jax 0.3.12 (May 15, 2022)

jax 0.3.11 (May 15, 2022)

  • GitHub commits.
  • 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 0.3.10 (May 3, 2022)

jaxlib 0.3.10 (May 3, 2022)

  • GitHub commits.
  • Changes
    • TF commit fixes an issue in the MHLO canonicalizer that caused constant folding to take a long time or crash for certain programs.

jax 0.3.9 (May 2, 2022)

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

jax 0.3.8 (April 29 2022)

  • 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.
    • jax.experimental.maps.mesh has been deleted. Please use jax.experimental.maps.Mesh. Please see https://jax.readthedocs.io/en/latest/_autosummary/jax.experimental.maps.Mesh.html#jax.experimental.maps.Mesh for more information.
    • {func}jax.scipy.linalg.qr now returns a length-1 tuple rather than the raw array when mode='r', in order to match the behavior of scipy.linalg.qr ({jax-issue}[#10452](https://github.com/google/jax/issues/10452))
    • {func}jax.numpy.take_along_axis now takes an optional mode parameter that specifies the behavior of out-of-bounds indexing. By default, invalid values (e.g., NaN) will be returned for out-of-bounds indices. In

... (truncated)

Commits
  • f572646 Merge pull request #10718 from hawkinsp:jaxfix
  • 337ec47 Fix jax 0.3.11 GPU breakge when used with jaxlib 0.3.10.
  • 1381afc Update version after jax release
  • 42421c8 Merge pull request #10688 from sharadmv:color-by-default
  • b8a523f Enable colors when we are using a terminal or IPython
  • f26133c Merge pull request #10584 from mattjj:remove-jnp-array-handling-raw-buffers
  • 86899ee Merge pull request #10711 from mattjj:closed-call
  • 05dda56 add core.closed_call_p
  • c0d6a04 remove jnp.array case for handling buffers w/ aval=None
  • ba0a2b3 Add profile_version to CompileOptions
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #301.