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Bump jaxlib from 0.1.56 to 0.4.1 #403

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Bumps jaxlib from 0.1.56 to 0.4.1.

Release notes

Sourced from jaxlib's releases.

Jaxlib release v0.4.1

  • Changes
    • Support for Python 3.7 has been dropped, in accordance with JAX's {ref}version-support-policy.
    • The behavior of XLA_PYTHON_CLIENT_MEM_FRACTION=.XX has been changed to allocate XX% of the total GPU memory instead of the previous behavior of using currently available GPU memory to calculate preallocation. Please refer to GPU memory allocation for more details.
    • The deprecated method .block_host_until_ready() has been removed. Use .block_until_ready() instead.

Jaxlib release v0.3.25

No release notes provided.

Jaxlib release v0.3.24

No release notes provided.

jaxlib-v0.3.22

No release notes provided.

jaxlib release v0.3.20

Notable changes:

  • Fixes support for limiting the visible CUDA devices viajax_cuda_visible_devices in distributed jobs. This functionality is needed for the JAX/SLURM integration on GPU (#12533).

jaxlib version 0.3.15

No release notes provided.

Jaxlib release v0.3.14

No release notes provided.

Jaxlib release v0.3.10

No release notes provided.

Jaxlib v0.3.7

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

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.

Jaxlib v0.1.76

  • New features
    • Includes precompiled SASS for NVidia compute capability 8.0 GPUS (e.g. A100). Removes precompiled SASS for compute capability 6.1 so as not to increase the number of compute capabilities: GPUs with compute capability 6.1 can use the 6.0 SASS.
    • With jaxlib 0.1.76, JAX uses the MHLO MLIR dialect as its primary target compiler IR

... (truncated)

Changelog

Sourced from jaxlib's changelog.

jax 0.4.1 (Dec 13, 2022)

  • Changes
    • Support for Python 3.7 has been dropped, in accordance with JAX's {ref}version-support-policy.
    • We introduce jax.Array which is a unified array type that subsumes DeviceArray, ShardedDeviceArray, and GlobalDeviceArray types in JAX. The jax.Array type helps make parallelism a core feature of JAX, simplifies and unifies JAX internals, and allows us to unify jit and pjit. jax.Array has been enabled by default in JAX 0.4 and makes some breaking change to the pjit API. The jax.Array migration guide can help you migrate your codebase to jax.Array. You can also look at the Distributed arrays and automatic parallelization tutorial to understand the new concepts.
    • PartitionSpec and Mesh are now out of experimental. The new API endpoints are jax.sharding.PartitionSpec and jax.sharding.Mesh. jax.experimental.maps.Mesh and jax.experimental.PartitionSpec are deprecated and will be removed in 3 months.
    • with_sharding_constraints new public endpoint is jax.lax.with_sharding_constraint.
    • If using ABSL flags together with jax.config, the ABSL flag values are no longer read or written after the JAX configuration options are initially populated from the ABSL flags. This change improves performance of reading jax.config options, which are used pervasively in JAX.
    • The jax2tf.call_tf function now uses for TF lowering the first TF device of the same platform as used by the embedding JAX computation. Before, it was using the 0th device for the JAX-default backend.
    • A number of jax.numpy functions now have their arguments marked as positional-only, matching NumPy.
    • jnp.msort is now deprecated, following the deprecation of np.msort in numpy 1.24. It will be removed in a future release, in accordance with the {ref}api-compatibility policy. It can be replaced with jnp.sort(a, axis=0).

jaxlib 0.4.1 (Dec 13, 2022)

  • Changes
    • Support for Python 3.7 has been dropped, in accordance with JAX's {ref}version-support-policy.
    • The behavior of XLA_PYTHON_CLIENT_MEM_FRACTION=.XX has been changed to allocate XX% of the total GPU memory instead of the previous behavior of using currently available GPU memory to calculate preallocation. Please refer to GPU memory allocation for more details.
    • The deprecated method .block_host_until_ready() has been removed. Use .block_until_ready() instead.

jax 0.4.0 (Dec 12, 2022)

  • The release was yanked.

... (truncated)

Commits
  • c4d590b Update values for release 0.4.1
  • 17c6796 Merge pull request #13619 from jakevdp:sparse-validate
  • dc8ead0 Update CHANGELOG to indicate that 0.4.0 was yanked.
  • 71569e1 Remove the specialized sm versions for testing. It caused release wheels to s...
  • 0bdb7ec Finish jax and jaxlib release 0.4.0
  • d491d9f Remove the cached check in aot compiled call in MeshExecutable because a fast...
  • e9cc523 [sparse] validate BCOO on instantiation
  • 23001ae Merge pull request #13603 from gnecula:native_unused
  • 5e8c0ec Merge pull request #13614 from hawkinsp:cuda
  • b868cf7 Merge pull request #13616 from jakevdp:fix-sparse-error
  • Additional commits viewable in compare view

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Bumps [jaxlib](https://github.com/google/jax) from 0.1.56 to 0.4.1.
- [Release notes](https://github.com/google/jax/releases)
- [Changelog](https://github.com/google/jax/blob/main/CHANGELOG.md)
- [Commits](jax-ml/jax@jaxlib-v0.1.56...jaxlib-v0.4.1)

---
updated-dependencies:
- dependency-name: jaxlib
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 14, 2022
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dependabot bot commented on behalf of github Jan 26, 2023

Superseded by #424.

@dependabot dependabot bot closed this Jan 26, 2023
@dependabot dependabot bot deleted the dependabot/pip/jaxlib-0.4.1 branch January 26, 2023 05:01
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