[array api] Finalize array API in jax.numpydeprecate jax.experimental…

….array_api

.github/workflows/ci-build.yaml

@@ -140,7 +140,7 @@ jobs:
         JAX_ARRAY: 1
         PY_COLORS: 1
       run: |
-        pytest -n auto --tb=short --doctest-glob='*.md' --doctest-glob='*.rst' docs --doctest-continue-on-failure --ignore=docs/multi_process.md
+        pytest -n auto --tb=short --doctest-glob='*.md' --doctest-glob='*.rst' docs --doctest-continue-on-failure --ignore=docs/multi_process.md --ignore=docs/jax.experimental.array_api.rst
         pytest -n auto --tb=short --doctest-modules jax --ignore=jax/config.py --ignore=jax/experimental/jax2tf --ignore=jax/_src/lib/mlir --ignore=jax/_src/lib/triton.py --ignore=jax/_src/lib/mosaic_gpu.py --ignore=jax/interpreters/mlir.py --ignore=jax/experimental/array_serialization --ignore=jax/collect_profile.py --ignore=jax/_src/tpu_custom_call.py --ignore=jax/experimental/mosaic --ignore=jax/experimental/pallas --ignore=jax/_src/pallas --ignore=jax/experimental/maps.py
 
 

.github/workflows/jax-array-api.yml

@@ -38,8 +38,8 @@ jobs:
         python -m pip install -r array-api-tests/requirements.txt
     - name: Run the test suite
       env:
-        ARRAY_API_TESTS_MODULE: jax.experimental.array_api
+        ARRAY_API_TESTS_MODULE: jax.numpy
         JAX_ENABLE_X64: 'true'
       run: |
         cd ${GITHUB_WORKSPACE}/array-api-tests
-        pytest array_api_tests --max-examples=5 --derandomize --disable-deadline --skips-file ${GITHUB_WORKSPACE}/jax/experimental/array_api/skips.txt
+        pytest array_api_tests --max-examples=5 --derandomize --disable-deadline --skips-file ${GITHUB_WORKSPACE}/tests/array_api_skips.txt

CHANGELOG.md

@@ -12,6 +12,10 @@ When releasing, please add the new-release-boilerplate to docs/pallas/CHANGELOG.
 
 ## jax 0.4.32
 
+* Changes
+  * {mod}`jax.numpy` now supports v2023.12 of the Python Array API Standard.
+    See {ref}`python-array-api` for more information.
+
 * Breaking changes
   * The MHLO MLIR dialect (`jax.extend.mlir.mhlo`) has been removed. Use the
     `stablehlo` dialect instead.
@@ -23,6 +27,9 @@ When releasing, please add the new-release-boilerplate to docs/pallas/CHANGELOG.
     * `jax.lib.xla_bridge.xla_client`: use {mod}`jax.lib.xla_client` directly.
     * `jax.lib.xla_bridge.get_backend`: use {func}`jax.extend.backend.get_backend`.
     * `jax.lib.xla_bridge.default_backend`: use {func}`jax.extend.backend.default_backend`.
+  * The `jax.experimental.array_api` module is deprecated, and importing it is no
+    longer required to use the Array API. `jax.numpy` supports the array API
+    directly; see {ref}`python-array-api` for more information.
 
 ## jaxlib 0.4.32
 

docs/jax.experimental.array_api.rst

@@ -1,4 +1,28 @@
 ``jax.experimental.array_api`` module
 =====================================
 
-.. automodule:: jax.experimental.array_api
+.. note::
+  The ``jax.experimental.array_api`` module is deprecated as of JAX v0.4.32, and
+  importing ``jax.experimental.array_api`` is no longer necessary. {mod}`jax.numpy`
+  implements the array API standard directly by default. See :ref:`python-array-api`
+  for details.
+
+This module includes experimental JAX support for the `Python array API standard`_.
+Support for this is currently experimental and not fully complete.
+
+Example Usage::
+
+  >>> from jax.experimental import array_api as xp
+
+  >>> xp.__array_api_version__
+  '2023.12'
+
+  >>> arr = xp.arange(1000)
+
+  >>> arr.sum()
+  Array(499500, dtype=int32)
+
+The ``xp`` namespace is the array API compliant analog of :mod:`jax.numpy`,
+and implements most of the API listed in the standard.
+
+.. _Python array API standard: https://data-apis.org/array-api/

docs/jax.numpy.rst

@@ -528,3 +528,36 @@ This is because in general, pickling and unpickling may take place in different
 environments, and there is no general way to map the device IDs of one runtime
 to the device IDs of another. If :mod:`pickle` is used in traced/JIT-compiled code,
 it will result in a :class:`~jax.errors.ConcretizationTypeError`.
+
+.. _python-array-api:
+
+Python Array API standard
+-------------------------
+
+.. note::
+
+  Prior to JAX v0.4.32, you must ``import jax.experimental.array_api`` in order
+  to enable the array API for JAX arrays. After JAX v0.4.32, importing this
+  module is no longer required, and will raise a deprecation warning.
+
+Starting with JAX v0.4.32, :class:`jax.Array` and :mod:`jax.numpy` are compatible
+with the `Python Array API Standard`_. You can access the Array API namespace via
+:meth:`jax.Array.__array_namespace__`::
+
+    >>> def f(x):
+    ...   nx = x.__array_namespace__()
+    ...   return nx.sin(x) ** 2 + nx.cos(x) ** 2
+
+    >>> import jax.numpy as jnp
+    >>> x = jnp.arange(5)
+    >>> f(x).round()
+    Array([1., 1., 1., 1., 1.], dtype=float32)
+
+JAX departs from the standard in a few places, namely because JAX arrays are
+immutable, in-place updates are not supported. Some of these incompatibilities
+are being addressed via the `array-api-compat`_ module.
+
+For more information, refer to the `Python Array API Standard`_ documentation.
+
+.. _Python Array API Standard: https://data-apis.org/array-api
+.. _array-api-compat: https://github.com/data-apis/array-api-compat

jax/BUILD

@@ -987,11 +987,7 @@ pytype_library(
 
 pytype_library(
     name = "experimental_array_api",
-    srcs = glob(
-        [
-            "experimental/array_api/*.py",
-        ],
-    ),
+    srcs = [],
     visibility = [":internal"] + jax_visibility("array_api"),
     deps = [":jax"],
 )

jax/_src/basearray.pyi

@@ -13,6 +13,7 @@
 # limitations under the License.
 import abc
 from collections.abc import Callable, Sequence
+from types import ModuleType
 from typing import Any, Union
 import numpy as np
 
@@ -48,6 +49,8 @@ class Array(abc.ABC):
     raise TypeError("jax.numpy.ndarray() should not be instantiated explicitly."
                     " Use jax.numpy.array, or jax.numpy.zeros instead.")
 
+  def __array_namespace__(self, *, api_version: None | str = ...) -> ModuleType: ...
+
   def __getitem__(self, key) -> Array: ...
   def __setitem__(self, key, value) -> None: ...
   def __len__(self) -> int: ...

jax/_src/numpy/array_api_metadata.py

@@ -19,44 +19,30 @@
 """
 from __future__ import annotations
 
-import importlib
+from types import ModuleType
 
 import jax
 from jax._src.sharding import Sharding
 from jax._src.lib import xla_client as xc
 from jax._src import dtypes as _dtypes, config
 
 
-# TODO(jakevdp, vfdev-5): export this in jax.numpy once migration is complete.
 __array_api_version__ = '2023.12'
 
 
-# TODO(jakevdp, vfdev-5): export this in jax.numpy once migration is complete.
-def __array_namespace_info__() -> ArrayNamespaceInfo:
-  return ArrayNamespaceInfo()
-
-
-def _array_namespace_property(self):
-  # TODO(jakevdp): clean this up once numpy fully supports the array API.
-  # In some environments, jax.experimental.array_api is not available.
-  # We return an AttributeError in this case, because some callers use
-  # hasattr checks to check for array API compatibility.
-  if not importlib.util.find_spec('jax.experimental.array_api'):
-    raise AttributeError("__array_namespace__ requires jax.experimental.array_api")
-  return __array_namespace__
-
-
-def __array_namespace__(*, api_version: None | str = None):
+def __array_namespace__(self, *, api_version: None | str = None) -> ModuleType:
   """Return the `Python array API`_ namespace for JAX.
 
   .. _Python array API: https://data-apis.org/array-api/
   """
   if api_version is not None and api_version != __array_api_version__:
     raise ValueError(f"{api_version=!r} is not available; "
                      f"available versions are: {[__array_api_version__]}")
-  # TODO(jakevdp, vfdev-5): change this to jax.numpy once migration is complete.
-  import jax.experimental.array_api
-  return jax.experimental.array_api  # pytype: disable=module-attr
+  return jax.numpy
+
+
+def __array_namespace_info__() -> ArrayNamespaceInfo:
+  return ArrayNamespaceInfo()
 
 
 class ArrayNamespaceInfo:

jax/_src/numpy/array_methods.py

@@ -666,6 +666,7 @@ def max(self, values, *, indices_are_sorted=False, unique_indices=False,
 }
 
 _array_methods = {
+  "__array_namespace__": array_api_metadata.__array_namespace__,
   "all": reductions.all,
   "any": reductions.any,
   "argmax": lax_numpy.argmax,
@@ -719,7 +720,6 @@ def max(self, values, *, indices_are_sorted=False, unique_indices=False,
 }
 
 _array_properties = {
-  "__array_namespace__": array_api_metadata._array_namespace_property,
   "flat": _notimplemented_flat,
   "T": lax_numpy.transpose,
   "mT": lax_numpy.matrix_transpose,

jax/experimental/__init__.py

@@ -25,3 +25,20 @@
 from jax._src.earray import (
     EArray as EArray
 )
+
+from jax import numpy as _array_api
+
+
+_deprecations = {
+  # Deprecated 01 Aug 2024
+  "array_api": (
+    "jax.experimental.array_api import is no longer required as of JAX v0.4.32; "
+    "jax.numpy supports the array API by default.",
+    _array_api
+  ),
+}
+
+from jax._src.deprecations import deprecation_getattr as _deprecation_getattr
+__getattr__ = _deprecation_getattr(__name__, _deprecations)
+del _deprecation_getattr
+del _array_api