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Releases: jax-ml/jax
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Release list
* JAX v0.11.0
* JAX v0.10.2
* JAX v0.10.1
* JAX v0.10.0
* JAX v0.9.2
* JAX v0.9.1
* JAX v0.9.0.1
* JAX v0.8.3
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* JAX v0.8.2
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* JAX v0.11.0
* JAX v0.10.2
* JAX v0.10.1
* JAX v0.10.0
* JAX v0.9.2
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* JAX v0.9.0.1
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JAX v0.11.0
JAX v0.11.0 Latest
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hawkinsp released this 16 Jul 19:53
jax-v0.11.0
a152174
* New features
+ Added a doc on defining custom derivative rules with the experimental
hijax API (hijax-custom-derivatives), along with
jax.experimental.hijax helpers for deriving VJPHiPrimitive autodiff
rules from a jvp or lin rule: linearize_from_jvp with
apply_derived_linearization, vjp_fwd_from_jvp with transpose_jvp,
vjp_fwd_from_lin with transpose_linearized, and jvp_from_lin.
+ Added jax.custom_remat to the top-level jax namespace, for
per-function control of rematerialization under the new jax_remat3
implementation.
+ jax.checkpoint_policies is now a submodule rather than a namespace
object (so from jax.checkpoint_policies import ... now works; attribute
access is unchanged), and it additionally exposes the name-based policy
classes SaveOnlyTheseNames, SaveAnyNamesButThese, and
SaveAndOffloadOnlyTheseNames.
+ Added jax.Inline enum for specify inlining policies to
jax.jit.
* Breaking changes
+ The deprecated module jax.cloud_tpu_init was removed. This did nothing and
references to it can be safely removed.
+ Support for Python 3.11, NumPy 2.0, and SciPy 1.14 has been dropped, per the
deprecation policy.
+ Support for Python 3.13 free-threaded (3.13t) has been dropped. Python
3.13 free-threaded was an experimental build needed to bootstrap free
threading support. Now that Python 3.14t is stable, it is time to drop the
experimental build. Other parts of the Python ecosystem (e.g.
cibuildwheel, scipy) are making similar moves.
+ jax.numpy.empty and jax.numpy.empty_like now produce
uninitialized arrays, similar to their NumPy counterparts. Prior to v0.11.0,
they produced arrays initialized to zeros. To recover the previous behavior,
use jax.numpy.zeros or jax.numpy.zeros_like instead.
* Deprecations
+ Passing 2-dimensional arrays (or mixed 2D and 3D arrays) to jax.numpy.cross is deprecated and will be removed in JAX 0.12.0, aligning with NumPy 2.5 behavior.
+ Several previously-deprecated APIs from jax.core have been removed, including
CallPrimitive, DebugInfo, DropVar, Effect, Effects, InconclusiveDimensionOperation,
JaxprTypeError, abstract_token, check_jaxpr, concrete_or_error, find_top_trace, gensym,
get_opaque_trace_state, is_concrete, is_constant_dim, is_constant_shape, jaxprs_in_params,
new_jaxpr_eqn, no_effects, nonempty_axis_env_DO_NOT_USE, primal_dtype_to_tangent_dtype,
unsafe_am_i_under_a_jit_DO_NOT_USE, unsafe_am_i_under_a_vmap_DO_NOT_USE,
unsafe_get_axis_names_DO_NOT_USE, valid_jaxtype, JaxprPpContext, JaxprPpSettings, OutputType,
aval_mapping_handlers, call, concretization_function_error, custom_typechecks,
literalable_types, no_axis_name, and trace_ctx.
+ Several previously-deprecated APIs from jax.interpreters.pxla have been removed, including
Index, MeshAxisName, MeshExecutable, global_aval_to_result_handler, global_result_handlers,
are_hlo_shardings_equal, is_hlo_sharding_replicated, ArrayMapping, _UNSPECIFIED,
array_mapping_to_axis_resources, and op_sharding_to_indices.
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JAX v0.10.2
JAX v0.10.2
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hawkinsp released this 17 Jun 23:39
jax-v0.10.2
990e6a0
* New features
+ Added jax.scipy.linalg.invhilbert for the closed-form inverse
of the Hilbert matrix ({jax-issue}#10144).
+ Added jax.scipy.linalg.invpascal for the inverse of the Pascal
matrix (#10144).
+ Added jax.scipy.linalg.fiedler_companion for constructing the
pentadiagonal Fiedler companion matrix of a polynomial
(#10144).
+ Added jax.ShapeDtypeStruct.like -- a shortcut for constructing a
jax.ShapeDtypeStruct from an object with shape and dtype
attributes.
* We have made a number of improvements to JAX tracing performance.
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JAX v0.10.1
JAX v0.10.1
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kanglant released this 20 May 15:07
jax-v0.10.1
619764c
* New features
+ Added ResizeMethod.AREA to jax.image.resize, which matches
TensorFlow's AREA resizing (#20098).
+ Added jax.scipy.linalg.hadamard for constructing Hadamard
matrices (#10144).
+ Added jax.scipy.linalg.circulant for constructing circulant
matrices (#10144).
+ Added jax.scipy.linalg.dft for constructing discrete Fourier
transform matrices (#10144).
+ Added jax.scipy.linalg.leslie for constructing Leslie matrices
(#10144).
+ Added jax.scipy.linalg.companion for constructing companion
matrices from polynomial coefficients (#10144).
+ Added jax.scipy.linalg.fiedler for constructing symmetric Fiedler
matrices (#10144).
+ Added jax.scipy.linalg.helmert for constructing Helmert matrices
(#10144).
+ Moved RNG APIs from "implementations" to dtypes (#27854):
o Added jax.random.key_dtype to get the dtype corresponding to a PRNG
implementation name.
o jax.random.key and wrap_key_data now accept a dtype argument.
* Breaking changes
+ with mesh: context manager has been deprecated. Please use
with jax.set_mesh(mesh): instead.
* Deprecations
+ Passing the copy, order, and ndmin arguments to
jax.numpy.array positionally is deprecated. Use keyword arguments
instead. This matches the signature of numpy.array.
+ Python dict_values, generators, zip return type and iterators generally
are deprecated by default when used as leaves in pytrees. In a future
version of JAX, this will become an error, if you depend on using them as
leaves, pass is_leaf to jax.tree.* methods.
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JAX v0.10.0
JAX v0.10.0
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hawkinsp released this 16 Apr 13:09
jax-v0.10.0
a33ed61
* New features:
+ Added ResizeMethod.CUBIC_PYTORCH to jax.image.resize to match
PyTorch's bicubic resize (#15768).
+ We now support differentiation of jax.lax.linalg.qr for wide
matrices and when full_matrices is True.
+ LAPACK operations are now parallelized along the batch dimension on CPU.
+ Added perturb_singular argument to
jax.lax.linalg.tridiagonal_solve to handle singular matrices by
perturbing near-zero pivots in the LU decomposition. This is useful for
solving numerically singular systems when computing eigenvectors by inverse
iteration.
+ jax.scipy.linalg.eigh_tridiagonal now supports computing
eigenvectors on CPU and GPU.
+ Added the jax.numpy.ndarray.byteswap method.
* Breaking changes:
+ PartitionSpec objects no longer report themselves to be equal to tuples.
Convert tuples to PartitionSpec objects before testing equality.
+ The .vma property has been removed from jax.core.ShapedArray. Use
.manual_axis_type.varying instead.
+ JAX CPU devices now report their names as cpu:0, cpu:1, etc. instead of
TFRT_CPU_0, TFRT_CPU_1.
+ The config state jax_pmap_shmap_merge has been removed. jax.pmap
will now always use the new implementation that wraps
jax.jit(jax.shard_map). Please see
https://docs.jax.dev/en/latest/migrate_pmap.html for more information.
+ jax.device_put_sharded and jax.device_put_replicated have been removed
from the public API and now raise an AttributeError when accessed.
Please see
https://docs.jax.dev/en/latest/migrate_pmap.html#drop-in-replacements for
drop-in replacements.
+ The C++ pmap infrastructure has been removed. The following public APIs
are no longer available:
o jax.sharding.PmapSharding
o From jaxlib.xla_extension: PmapFunction, pmap,
NoSharding, Chunked, Unstacked, ShardedAxis, Replicated,
ShardingSpec.
o From jax.interpreters.pxla: MapTracer, PmapExecutable,
parallel_callable, shard_args, xla_pmap_p, Chunked,
NoSharding, Replicated, ShardedAxis, ShardingSpec,
Unstacked, spec_to_indices.
+ The deprecated keyword arguments a, a_min, and a_max to
jax.numpy.clip have been removed.
+ Functions jax.numpy.hstack, jax.numpy.vstack, jax.numpy.dstack,
jax.numpy.column_stack, jax.numpy.atleast_1d, jax.numpy.atleast_2d,
and jax.numpy.atleast_3d no longer accept non-ArrayLike inputs.
Doing so previously issued a DeprecationWarning.
+ jax.scipy.stats.rankdata now returns floating point values in
all cases, following a similar change in the SciPy 1.18 release.
* Deprecations:
+ A number of internal APIs in jax.core have been newly deprecated and
some have been moved to jax.extend.core. These include CallPrimitive,
DebugInfo, DropVar, Effect, Effects, InconclusiveDimensionOperation,
JaxprTypeError, check_jaxpr, concrete_or_error, find_top_trace,
gensym, get_opaque_trace_state, jaxprs_in_params, new_jaxpr_eqn,
no_effects, nonempty_axis_env_DO_NOT_USE, primal_dtype_to_tangent_dtype,
unsafe_am_i_under_a_jit_DO_NOT_USE, unsafe_am_i_under_a_vmap_DO_NOT_USE,
unsafe_get_axis_names_DO_NOT_USE, valid_jaxtype, JaxprPpContext,
JaxprPpSettings, OutputType, abstract_token, aval_mapping_handlers,
call, concretization_function_error, custom_typechecks, is_concrete,
is_constant_dim, is_constant_shape, literalable_types, no_axis_name,
pytype_aval_mappings, and trace_ctx.
* Changes:
+ The minimum supported SciPy version is now 1.14.
+ vma parameter of jax.ShapeDtypeStruct has been replaced with
manual_axis_type: jax.sharding.ManualAxisType. The .vma property has
been replaced with .manual_axis_type.varying.
+ Removed experimental jax.experimental.custom_dce.custom_dce
+ jax.scipy.linalg.cho_solve, jax.scipy.linalg.lu_solve, and
jax.scipy.linalg.solve_triangular now show a deprecation warning for
batched 1D solves with b.ndim > 1. In the future these will be treated as
batched 2D solves.
+ Added a new version 10 for the jax.export serialization format. This is
an optimization for when there are multiple occurrences of the same
abstract value, abstract mesh, or sharding.
* Bug fixes:
+ Fixed a bug that led to differing output between CPU and GPU for
non-symmetric multidimensional IRFFTs (#29325).
+ Fixed an error when tiny matrices were passed to
jax.lax.linalg.tridiagonal_solve on GPU (#32487).
+ Fixed a bug in jax.scipy.fft.dctn and idctn where axes=None
incorrectly defaulted to all axes when s was specified, instead of the
last len(s) axes to match SciPy behavior (#29426).
+ Fixed a bug where calling jax.distributed.initialize() on a GCE TPU
Managed Instance Group raised an IndexError (#36593). When
jax.distributed.initialize() is called on a GCE VM, it uses the GCE
metadata server to learn the addresses of all participating tasks. The format of this metadata
on Managed Instance Groups was not a format JAX expected, leading to the
exception. We now parse this format correctly.
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JAX v0.9.2
JAX v0.9.2
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danielsuo released this 18 Mar 23:40
jax-v0.9.2
a659757
JAX 0.9.2 (March 2, 2026)
* Changes:
+ The semi-private type jax._src.literals.TypedNdArray is now a subclass of
np.ndarray, rather than a duck type of it.
+ jax.numpy.arange with step specified no longer generates the array
on host. The benefit is more efficient code, though this can lead to less
precise outputs for narrow-width floats (e.g. bfloat16). To recover the
previous behavior in this case, use jnp.array(np.arange(...)).
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JAX v0.9.1
JAX v0.9.1
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danielsuo released this 02 Mar 11:13
jax-v0.9.1
58cb6e5
* Changes:
+ JAX tracers that are not of Array type (e.g., of Ref type) will no
longer report themselves to be instances of Array.
+ Using jax.shard_map in Explicit mode will raise an error
if the PartitionSpec of input does not match the PartitionSpec specified in
in_specs. In other words, it will act like an assert instead of an
implicit reshard.
in_specs is an optional argument so you can omit specifying it
and shard_map will infer the PartitionSpec from the argument. If you
want to reshard your inputs, you can use jax.reshard on the arguments and
then pass those args to shard_map.
* New features:
+ Added a debug config jax_compilation_cache_check_contents. If set, we miss
when get() is called on a value that has not been put() by the current
process, even if the value is actually in the disk cache. When a value is
put(), we verify that its contents match.
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JAX v0.9.0.1
JAX v0.9.0.1
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mwhittaker released this 05 Feb 18:51
jax-v0.9.0.1
470cf68
JAX v0.9.0.1 is identical to v0.9.0 with the commits from the following four PRs patched in:
* openxla/xla#36579
* openxla/xla#36345
* openxla/xla#36755
* openxla/xla#36696
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JAX v0.8.3
JAX v0.8.3
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mwhittaker released this 29 Jan 23:10
jax-v0.8.3
2184c1e
JAX v0.8.3 is identical to v0.8.2 with the following two bug fixes patched in:
* openxla/xla@4bc723d
* openxla/xla@21552fd
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JAX v0.9.0
JAX v0.9.0
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mwhittaker released this 20 Jan 23:23
jax-v0.9.0
2de5b8b
* New features:
+ Added jax.thread_guard, a context manager that detects when devices
are used by multiple threads in multi-controller JAX.
* Bug fixes:
+ Fixed a workspace size calculation error for pivoted QR (magma_zgeqp3_gpu)
in MAGMA 2.9.0 when using use_magma=True and pivoting=True.
(#34145).
* Deprecations:
+ The flag jax_collectives_common_channel_id was removed.
+ The jax_pmap_no_rank_reduction config state has been removed. The
no-rank-reduction behavior is now the only supported behavior: a
jax.pmapped function f sees inputs of the same rank as the input to
jax.pmap(f). For example, if jax.pmap(f) receives shape (8, 128) on
8 devices, then f receives shape (1, 128).
+ Setting the jax_pmap_shmap_merge config state is deprecated in JAX v0.9.0
and will be removed in JAX v0.10.0.
+ jax.numpy.fix is deprecated, anticipating the deprecation of
numpy.fix in NumPy v2.5.0. jax.numpy.trunc is a drop-in
replacement.
* Changes:
+ jax.export now supports explicit sharding. This required a new
export serialization format version that includes the NamedSharding,
including the abstract mesh, and the partition spec. As part of this
change we have added a restriction in the use of exported modules: when
calling them the abstract mesh must match the one used at export time,
including the axis names. Previously, only the number of the devices
mattered.
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JAX v0.8.2
JAX v0.8.2
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belitskiy released this 18 Dec 18:50
jax-v0.8.2
3f12502
* Deprecations
+ jax.lax.pvary has been deprecated.
Please use jax.lax.pcast(..., to='varying') as the replacement.
+ Complex arguments passed to jax.numpy.arange now result in a
deprecation warning, because the output is poorly-defined.
+ From jax.core a number of symbols are newly deprecated including:
call_impl, get_aval, mapped_aval, subjaxprs, set_current_trace,
take_current_trace, traverse_jaxpr_params, unmapped_aval,
AbstractToken, and TraceTag.
+ All symbols in jax.interpreters.pxla are deprecated. These are
primarily JAX internal APIs, and users should not rely on them.
* Changes:
+ jax's Tracer no longer inherits from jax.Array at runtime. However,
jax.Array now uses a custom metaclass such isinstance(x, Array) is true
if an object x represents a traced Array. Only some Tracers represent
Arrays, so it is not correct for Tracer to inherit from Array.
For the moment, during Python type checking, we continue to declare Tracer
as a subclass of Array, however we expect to remove this in a future
release.
+ jax.experimental.si_vjp has been deleted.
jax.vjp subsumes it's functionality.
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👍 6 etiennelndr, Qazalbash, eric-haibin-lin, ChrissHennilston, Engineer1269, and jondeaton reacted with thumbs up emoji 🎉 8 wissem01chiha, kYangLi, reneleonhardt, AhmedMagdyHendawy, miguelbiron, luckyman579, Engineer1269, and jondeaton reacted with hooray emoji 🚀 9 nguyenphuminh, kasper0406, LiPingYen, jaeminoh, Blair-Johnson, pythoncrazy, dingzuwang, Engineer1269, and jondeaton reacted with rocket emoji 👀 2 yassine-cherni and Engineer1269 reacted with eyes emoji
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Por ahora, las diferencias se realizan en texto, no gráficamente, solo está disponible la última captura de pantalla.
La captura de pantalla requiere un buscador de contenido (Sockpuppetbrowser, selenium, etc.) que admita capturas de pantalla.