JAX v0.4.38

• Changes:

  • jax.tree.flatten_with_path and jax.tree.map_with_path are added
    as shortcuts of the corresponding tree_util functions.

• Deprecations

  • a number of APIs in the internal jax.core namespace have been deprecated.
    Most were no-ops, were little-used, or can be replaced by APIs of the same
    name in jax.extend.core; see the documentation for {mod}jax.extend
    for information on the compatibility guarantees of these semi-public extensions.
  • Several previously-deprecated APIs have been removed, including:
    • from jax.core: check_eqn, check_type, check_valid_jaxtype, and
      non_negative_dim.
    • from jax.lib.xla_bridge: xla_client and default_backend.
    • from jax.lib.xla_client: _xla and bfloat16.
    • from jax.numpy: round_.

• New Features

  • jax.export.export can be used for device-polymorphic export with
    shardings constructed with {func}jax.sharding.AbstractMesh.
    See the jax.export documentation.
  • Added jax.lax.split. This is a primitive version of
    jax.numpy.split, added because it yields a more compact
    transpose during automatic differentiation.

JAX v0.4.37

This is a patch release of jax 0.4.36. Only "jax" was released at this version.

• Bug fixes
  • Fixed a bug where jit would error if an argument was named f (#25329).
  • Fix a bug that will throw index out of range error in
    jax.lax.while_loop if the user registers pytree node class with
    different aux data for the flatten and flatten_with_path.
  • Pinned a new libtpu release (0.0.6) that fixes a compiler bug on TPU v6e.

JAX v0.4.36

• Breaking Changes

  • This release lands "stackless", an internal change to JAX's tracing
    machinery. We made trace dispatch purely a function of context rather than a
    function of both context and data. This let us delete a lot of machinery for
    managing data-dependent tracing: levels, sublevels, post_process_call,
    new_base_main, custom_bind, and so on. The change should only affect
    users that use JAX internals.

    If you do use JAX internals then you may need to
    update your code (see
    c36e1f7
    for clues about how to do this). There might also be version skew
    issues with JAX libraries that do this. If you find this change breaks your
    non-JAX-internals-using code then try the
    config.jax_data_dependent_tracing_fallback flag as a workaround, and if
    you need help updating your code then please file a bug.

  • jax.experimental.jax2tf.convert with native_serialization=False
    or with enable_xla=False have been deprecated since July 2024, with
    JAX version 0.4.31. Now we removed support for these use cases. jax2tf
    with native serialization will still be supported.

  • In jax.interpreters.xla, the xb, xc, and xe symbols have been removed
    after being deprecated in JAX v0.4.31. Instead use xb = jax.lib.xla_bridge,
    xc = jax.lib.xla_client, and xe = jax.lib.xla_extension.

  • The deprecated module jax.experimental.export has been removed. It was replaced
    by jax.export in JAX v0.4.30. See the migration guide
    for information on migrating to the new API.

  • The initial argument to jax.nn.softmax and jax.nn.log_softmax
    has been removed, after being deprecated in v0.4.27.

  • Calling np.asarray on typed PRNG keys (i.e. keys produced by jax.random.key)
    now raises an error. Previously, this returned a scalar object array.

  • The following deprecated methods and functions in jax.export have
    been removed:

    • jax.export.DisabledSafetyCheck.shape_assertions: it had no effect
      already.
    • jax.export.Exported.lowering_platforms: use platforms.
    • jax.export.Exported.mlir_module_serialization_version:
      use calling_convention_version.
    • jax.export.Exported.uses_shape_polymorphism:
      use uses_global_constants.
    • the lowering_platforms kwarg for jax.export.export: use
      platforms instead.

  • The kwargs symbolic_scope and symbolic_constraints from
    jax.export.symbolic_args_specs have been removed. They were
    deprecated in June 2024. Use scope and constraints instead.

  • Hashing of tracers, which has been deprecated since version 0.4.30, now
    results in a TypeError.

  • Refactor: JAX build CLI (build/build.py) now uses a subcommand structure and
    replaces previous build.py usage. Run python build/build.py --help for
    more details. Brief overview of the new subcommand options:

    • build: Builds JAX wheel packages. For e.g., python build/build.py build --wheels=jaxlib,jax-cuda-pjrt
    • requirements_update: Updates requirements_lock.txt files.

  • jax.scipy.linalg.toeplitz now does implicit batching on multi-dimensional
    inputs. To recover the previous behavior, you can call jax.numpy.ravel
    on the function inputs.

  • jax.scipy.special.gamma and jax.scipy.special.gammasgn now
    return NaN for negative integer inputs, to match the behavior of SciPy from
    scipy/scipy#21827.

  • jax.clear_backends was removed after being deprecated in v0.4.26.

  • We removed the custom call "__gpu$xla.gpu.triton" from the list of custom
    call that we guarantee export stability. This is because this custom call
    relies on Triton IR, which is not guaranteed to be stable. If you need
    to export code that uses this custom call, you can use the disabled_checks
    parameter. See more details in the documentation.

• New Features

  • jax.jit got a new compiler_options: dict[str, Any] argument, for
    passing compilation options to XLA. For the moment it's undocumented and
    may be in flux.
  • jax.tree_util.register_dataclass now allows metadata fields to be
    declared inline via dataclasses.field. See the function documentation
    for examples.
  • Added jax.numpy.put_along_axis.
  • jax.lax.linalg.eig and the related jax.numpy functions
    (jax.numpy.linalg.eig and jax.numpy.linalg.eigvals) are now
    supported on GPU. See #24663 for more details.
  • Added two new configuration flags, jax_exec_time_optimization_effort and jax_memory_fitting_effort, to control the amount of effort the compiler spends minimizing execution time and memory usage, respectively. Valid values are between -1.0 and 1.0, default is 0.0.

• Bug fixes

  • Fixed a bug where the GPU implementations of LU and QR decomposition would
    result in an indexing overflow for batch sizes close to int32 max. See
    #24843 for more details.

• Deprecations

  • jax.lib.xla_extension.ArrayImpl and jax.lib.xla_client.ArrayImpl are deprecated;
    use jax.Array instead.
  • jax.lib.xla_extension.XlaRuntimeError is deprecated; use jax.errors.JaxRuntimeError
    instead.

JAX v0.4.35

• Breaking Changes

  • jax.numpy.isscalar now returns True for any array-like object with
    zero dimensions. Previously it only returned True for zero-dimensional
    array-like objects with a weak dtype.
  • jax.experimental.host_callback has been deprecated since March 2024, with
    JAX version 0.4.26. Now we removed it.
    See #20385 for a discussion of alternatives.

• Changes:

  • jax.lax.FftType was introduced as a public name for the enum of FFT
    operations. The semi-public API jax.lib.xla_client.FftType has been
    deprecated.
  • TPU: JAX now installs TPU support from the libtpu package rather than
    libtpu-nightly. For the next few releases JAX will pin an empty version of
    libtpu-nightly as well as libtpu to ease the transition; that dependency
    will be removed in Q1 2025.

• Deprecations:

  • The semi-public API jax.lib.xla_client.PaddingType has been deprecated.
    No JAX APIs consume this type, so there is no replacement.
  • The default behavior of jax.pure_callback and
    jax.extend.ffi.ffi_call under vmap has been deprecated and so has
    the vectorized parameter to those functions. The vmap_method parameter
    should be used instead for better defined behavior. See the discussion in
    #23881 for more details.
  • The semi-public API jax.lib.xla_client.register_custom_call_target has
    been deprecated. Use the JAX FFI instead.
  • The semi-public APIs jax.lib.xla_client.dtype_to_etype,
    jax.lib.xla_client.ops,
    jax.lib.xla_client.shape_from_pyval, jax.lib.xla_client.PrimitiveType,
    jax.lib.xla_client.Shape, jax.lib.xla_client.XlaBuilder, and
    jax.lib.xla_client.XlaComputation have been deprecated. Use StableHLO
    instead.

JAX v0.4.34

• New Functionality

  • This release includes wheels for Python 3.13. Free-threading mode is not yet
    supported.
  • jax.errors.JaxRuntimeError has been added as a public alias for the
    formerly private XlaRuntimeError type.

• Breaking changes

  • jax_pmap_no_rank_reduction flag is set to True by default.
    • array[0] on a pmap result now introduces a reshape (use array[0:1]
      instead).
    • The per-shard shape (accessable via jax_array.addressable_shards or
      jax_array.addressable_data(0)) now has a leading (1, ...). Update code
      that directly accesses shards accordingly. The rank of the per-shard-shape
      now matches that of the global shape which is the same behavior as jit.
      This avoids costly reshapes when passing results from pmap into jit.
  • jax.experimental.host_callback has been deprecated since March 2024, with
    JAX version 0.4.26. Now we set the default value of the
    --jax_host_callback_legacy configuration value to True, which means that
    if your code uses jax.experimental.host_callback APIs, those API calls
    will be implemented in terms of the new jax.experimental.io_callback API.
    If this breaks your code, for a very limited time, you can set the
    --jax_host_callback_legacy to True. Soon we will remove that
    configuration option, so you should instead transition to using the
    new JAX callback APIs. See #20385 for a discussion.

• Deprecations

  • In jax.numpy.trim_zeros, non-arraylike arguments or arraylike
    arguments with ndim != 1 are now deprecated, and in the future will result
    in an error.
  • Internal pretty-printing tools jax.core.pp_* have been removed, after
    being deprecated in JAX v0.4.30.
  • jax.lib.xla_client.Device is deprecated; use jax.Device instead.
  • jax.lib.xla_client.XlaRuntimeError has been deprecated. Use
    jax.errors.JaxRuntimeError instead.

• Deletion:

  • jax.xla_computation is deleted. It has been 3 months since its deprecation
    in 0.4.30 JAX release.
    Please use the AOT APIs to get the same functionality as jax.xla_computation.
    • jax.xla_computation(fn)(*args, **kwargs) can be replaced with
      jax.jit(fn).lower(*args, **kwargs).compiler_ir('hlo').
    • You can also use .out_info property of jax.stages.Lowered to get the
      output information (like tree structure, shape and dtype).
    • For cross-backend lowering, you can replace
      jax.xla_computation(fn, backend='tpu')(*args, **kwargs) with
      jax.jit(fn).trace(*args, **kwargs).lower(lowering_platforms=('tpu',)).compiler_ir('hlo').
  • jax.ShapeDtypeStruct no longer accepts the named_shape argument.
    The argument was only used by xmap which was removed in 0.4.31.
  • jax.tree.map(f, None, non-None), which previously emitted a
    DeprecationWarning, now raises an error. None
    is only a tree-prefix of itself. To preserve the current behavior, you can
    ask jax.tree.map to treat None as a leaf value by writing:
    jax.tree.map(lambda x, y: None if x is None else f(x, y), a, b, is_leaf=lambda x: x is None).
  • jax.sharding.XLACompatibleSharding has been removed. Please use
    jax.sharding.Sharding.

• Bug fixes

  • Fixed a bug where jax.numpy.cumsum would produce incorrect outputs
    if a non-boolean input was provided and dtype=bool was specified.
  • Edit implementation of jax.numpy.ldexp to get correct gradient.

JAX release v0.4.33

This is a patch release on top of jax 0.4.32, that fixes two bugs found in that
release.

A TPU-only data corruption bug was found in the version of libtpu pinned by
JAX 0.4.32, which manifested only if multiple TPU slices were present in the
same job, for example, if training on multiple v5e slices.

This release fixes that issue by pinning a fixed version of libtpu-nightly.

This release also fixes an inaccurate result for F64 tanh on CPU (#23590).

Jaxlib release v0.4.32

WARNING: This release has been yanked from PyPI because of a data corruption bug on TPU if there are multiple TPU slices in the job

JAX release v0.4.32

WARNING: This release has been yanked from PyPI because of a data corruption bug on TPU if there are multiple TPU slices in the job

Jaxlib release v0.4.31

jaxlib-v0.4.31

jaxlib version 0.4.31

JAX release v0.4.31

jax-v0.4.31

jax version 0.4.31