NOTE: This is the last JAX release that will include Python 3.8 support
Changes
jax.jit now allows None to be passed to in_shardings and
out_shardings. The semantics are as follows:
For in_shardings, JAX will mark is as replicated but this behavior
can change in the future.
For out_shardings, we will rely on the XLA GSPMD partitioner to
determine the output shardings.
jax.experimental.pjit.pjit also allows None to be passed to
in_shardings and out_shardings. The semantics are as follows:
If the mesh context manager is not provided, JAX has the freedom to
choose whatever sharding it wants.
For in_shardings, JAX will mark is as replicated but this behavior
can change in the future.
For out_shardings, we will rely on the XLA GSPMD partitioner to
determine the output shardings.
If the mesh context manager is provided, None will imply that the value
will be replicated on all devices of the mesh.
Executable.cost_analysis() works on Cloud TPU
Added a warning if a non-allowlisted jaxlib plugin is in use.
Added jax.tree_util.tree_leaves_with_path.
Bug fixes
Fixed incorrect wheel name in CUDA 12 releases (#16362); the correct wheel
is named cudnn89 instead of cudnn88.
Deprecations
The native_serialization_strict_checks parameter to
{func}jax.experimental.jax2tf.convert is deprecated in favor of the
new native_serializaation_disabled_checks ({jax-issue}[#16347](https://github.com/google/jax/issues/16347)).
jax.jit now allows None to be passed to in_shardings and
out_shardings. The semantics are as follows:
For in_shardings, JAX will mark is as replicated but this behavior
can change in the future.
For out_shardings, we will rely on the XLA GSPMD partitioner to
determine the output shardings.
jax.experimental.pjit.pjit also allows None to be passed to
in_shardings and out_shardings. The semantics are as follows:
If the mesh context manager is not provided, JAX has the freedom to
choose whatever sharding it wants.
For in_shardings, JAX will mark is as replicated but this behavior
can change in the future.
For out_shardings, we will rely on the XLA GSPMD partitioner to
determine the output shardings.
If the mesh context manager is provided, None will imply that the value
will be replicated on all devices of the mesh.
Executable.cost_analysis() works on Cloud TPU
Added a warning if a non-allowlisted jaxlib plugin is in use.
Added jax.tree_util.tree_leaves_with_path.
Bug fixes
Fixed incorrect wheel name in CUDA 12 releases (#16362); the correct wheel
is named cudnn89 instead of cudnn88.
Deprecations
The native_serialization_strict_checks parameter to
{func}jax.experimental.jax2tf.convert is deprecated in favor of the
new native_serializaation_disabled_checks ({jax-issue}[#16347](https://github.com/google/jax/issues/16347)).
jaxlib 0.4.13 (June 22, 2023)
Changes
Added Windows CPU-only wheels to the jaxlib Pypi release.
Bug fixes
__cuda_array_interface__ was broken in previous jaxlib versions and is now
fixed ({jax-issue}16440).
Concurrent CUDA kernel tracing is now enabled by default on NVIDIA GPUs.
jax 0.4.12 (June 8, 2023)
Changes
Added {class}scipy.spatial.transform.Rotation and {class}scipy.spatial.transform.Slerp
Deprecations
jax.abstract_arrays and its contents are now deprecated. See related
functionality in :mod:jax.core.
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Updates the requirements on jax[cpu] to permit the latest version.
Release notes
Sourced from jax[cpu]'s releases.
Changelog
Sourced from jax[cpu]'s changelog.
... (truncated)
Commits
c3e2427
Merge pull request #16527 from skye:version487b640
Jax 0.4.13 release.10424c5
Update JAX's XlaExecutable.cost_analysis and related plumbing so it works on ...9f4080a
Silence pytype errors under an upcoming pytype change.e123d1e
Merge pull request #16508 from hawkinsp:metal677b0d9
IgnoreJAX_USE_PJRT_C_API_ON_TPU=false
user warning raised.85a84fd
Add a link to the Apple Metal plugin to the JAX README.b3527f3
Zlib compress kernel proto.f238667
Make JAX-Triton calls serializable.c5a47d1
[jax2tf] Refactor the backwards compatibility tests.Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase
.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)