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 jaxlib from 0.1.61 to 0.1.74 #235

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps jaxlib from 0.1.61 to 0.1.74.

Changelog

Sourced from jaxlib's changelog.

jaxlib 0.1.74 (Unreleased)

  • Enabled peer-to-peer copies between GPUs. Previously, GPU copies were bounced via the host, which is usually slower.
  • Added experimental MLIR Python bindings for use by JAX.

jax 0.2.25 (Nov 10, 2021)

  • GitHub commits.

  • New features:

    • (Experimental) jax.distributed.initialize exposes multi-host GPU backend.
    • jax.random.permutation supports new independent keyword argument ({jax-issue}[#8430](https://github.com/google/jax/issues/8430))
  • Breaking changes

    • Moved jax.experimental.stax to jax.example_libraries.stax
    • Moved jax.experimental.optimizers to jax.example_libraries.optimizers
  • New features:

    • Added jax.lax.linalg.qdwh.

jax 0.2.24 (Oct 19, 2021)

  • GitHub commits.

  • New features:

    • jax.random.choice and jax.random.permutation now support multidimensional arrays and an optional axis argument ({jax-issue}[#8158](https://github.com/google/jax/issues/8158))
  • Breaking changes:

    • jax.numpy.take and jax.numpy.take_along_axis now require array-like inputs (see {jax-issue}[#7737](https://github.com/google/jax/issues/7737))

jaxlib 0.1.73 (Oct 18, 2021)

  • Multiple cuDNN versions are now supported for jaxlib GPU cuda11 wheels.

    • cuDNN 8.2 or newer. We recommend using the cuDNN 8.2 wheel if your cuDNN installation is new enough, since it supports additional functionality.
    • cuDNN 8.0.5 or newer.
  • Breaking changes:

... (truncated)

Commits
  • b53a174 Merge pull request #8564 from hawkinsp:testfix
  • 9e09b51 Merge pull request #8381 from LenaMartens:changelist/405399581
  • 6883571 Merge pull request #8561 from mattjj:add-donated-invars-to-xlacomputation
  • e14fea3 Overload jnp ops which are polymorphic to an array's value and support PRNGKeys.
  • 1bcedd5 Fix test failures and update changelog.
  • 5d35b8a add donated_invars to xla.XlaComputation
  • b7e3129 Merge pull request #8562 from hawkinsp:jaxlib
  • a864c95 Update XLA.
  • 9491414 Merge pull request #8499 from jakevdp:load-wrapper
  • 1137aa1 Properly handle bfloat16 in jnp.load()
  • Additional commits viewable in compare view


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dependabot[bot] commented 2 years ago

Superseded by #244.