From 50f46611d92af15cc057a3f1c5187b33b320ebe9 Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Fri, 3 Apr 2026 12:56:14 +0100
Subject: [PATCH 1/5] ENH: testing.lazy_xp_function: `torch.compile` support

---
 pixi.toml                               |  3 +-
 pyproject.toml                          |  6 +-
 src/array_api_extra/_lib/_helpers.py    | 60 ++++++++++++-----
 src/array_api_extra/testing/_testing.py | 29 +++++----
 tests/main/test_helpers.py              | 86 +++++++++++++++++--------
 5 files changed, 129 insertions(+), 55 deletions(-)

diff --git a/pixi.toml b/pixi.toml
index dc2b92e1..466a1a50 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -228,7 +228,8 @@ scipy-doctest = ">=2.2.0,<3"
 [feature.tests.tasks]
 tests = {
   description = "Run tests",
-  cmd = "pytest -v tests/main",
+  args = [{ arg = "pytest_args", default = "tests/main" }],
+  cmd = "pytest -v {{ pytest_args }}",
   default-environment = "tests",
 }
 doctests = {
diff --git a/pyproject.toml b/pyproject.toml
index 69d293f8..152914dc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -146,7 +146,11 @@ errors = { unannotated-return = false }
 
 [tool.pytest.ini_options]
 addopts = ["-ra", "--showlocals", "--strict-markers", "--strict-config"]
-filterwarnings = ["error"]
+filterwarnings = [
+  "error",
+  "ignore:.*torch.jit.script_method.*",
+  "ignore:.*dynamo.*functools.lru_cache.*",
+]
 log_cli_level = "INFO"
 markers = [
   "skip_xp_backend(library, /, *, reason=None): Skip test for a specific backend",
diff --git a/src/array_api_extra/_lib/_helpers.py b/src/array_api_extra/_lib/_helpers.py
index 9cf74b53..2546ecdf 100644
--- a/src/array_api_extra/_lib/_helpers.py
+++ b/src/array_api_extra/_lib/_helpers.py
@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import enum
 import functools
 import io
 import math
@@ -28,14 +29,15 @@
 
 
 __all__ = [
+    "JitLibrary",
     "asarrays",
+    "autojit",
     "capabilities",
     "deprecated",
     "eager_shape",
     "in1d",
     "is_jax_jit_enabled",
     "is_python_scalar",
-    "jax_autojit",
     "meta_namespace",
     "normalize_pad_width",
     "pickle_flatten",
@@ -487,7 +489,7 @@ def persistent_load(self, pid: Literal[0, 1]) -> object:  # numpydoc ignore=GL08
 
 class _AutoJITWrapper(Generic[T]):  # numpydoc ignore=PR01
     """
-    Helper of :func:`jax_autojit`.
+    Helper of :func:`autojit`.
 
     Wrap arbitrary inputs and outputs of the jitted function and
     convert them to/from PyTrees.
@@ -495,12 +497,12 @@ class _AutoJITWrapper(Generic[T]):  # numpydoc ignore=PR01
 
     _obj: Any
     _is_iter: bool
-    _registered: ClassVar[bool] = False
+    _registered: ClassVar[set[JitLibrary]] = set()
     __slots__: tuple[str, ...] = ("_is_iter", "_obj")
 
-    def __init__(self, obj: T) -> None:  # numpydoc ignore=GL08
-        self._register()
-        if isinstance(obj, Iterator):
+    def __init__(self, obj: T, jit_library: JitLibrary) -> None:  # numpydoc ignore=GL08
+        self._register(jit_library)
+        if jit_library is JitLibrary.jax and isinstance(obj, Iterator):
             self._obj = list(obj)
             self._is_iter = True
         else:
@@ -513,12 +515,15 @@ def obj(self) -> T:  # numpydoc ignore=RT01
         return iter(self._obj) if self._is_iter else self._obj
 
     @classmethod
-    def _register(cls) -> None:  # numpydoc ignore=SS06
+    def _register(cls, jit_library: JitLibrary) -> None:  # numpydoc ignore=SS06,PR01
         """
         Register upon first use instead of at import time, to avoid
         globally importing JAX.
         """
-        if not cls._registered:
+        if jit_library in cls._registered:
+            return
+
+        if jit_library is JitLibrary.jax:
             import jax
 
             jax.tree_util.register_pytree_node(
@@ -526,11 +531,28 @@ def _register(cls) -> None:  # numpydoc ignore=SS06
                 lambda instance: pickle_flatten(instance, jax.Array),  # pyright: ignore[reportUnknownArgumentType]
                 lambda aux_data, children: pickle_unflatten(children, aux_data),  # pyright: ignore[reportUnknownArgumentType]
             )
-            cls._registered = True
+        elif jit_library is JitLibrary.torch:
+            import torch
+
+            torch.utils._pytree.register_pytree_node(
+                cls,
+                lambda instance: pickle_flatten(instance, torch.Tensor),  # pyright: ignore[reportUnknownArgumentType]
+                pickle_unflatten,
+            )
+        cls._registered.add(jit_library)
 
 
-def jax_autojit(
-    func: Callable[P, T],
+class JitLibrary(enum.Enum):
+    """
+    Enum for JIT libraries compatible with `autojit`.
+    """
+
+    jax = enum.auto()
+    torch = enum.auto()
+
+
+def autojit(
+    func: Callable[P, T], jit_library: JitLibrary
 ) -> Callable[P, T]:  # numpydoc ignore=PR01,RT01,SS03
     """
     Wrap `func` with ``jax.jit``, with the following differences:
@@ -573,19 +595,27 @@ def f(x: Array, y: float, plus: bool) -> Array:
     ``j1``, but on the flip side it means that it will be re-traced for every different
     value of ``y``, which likely makes it not fit for purpose in production.
     """
-    import jax
+    if jit_library is JitLibrary.jax:
+        import jax
+
+        jit_decorator = jax.jit
+    elif jit_library is JitLibrary.torch:
+        import torch
+
+        # jit_decorator = functools.partial(torch.compile, fullgraph=True)
+        jit_decorator = functools.partial(torch.compile, fullgraph=False)
 
-    @jax.jit  # type: ignore[untyped-decorator]  # pyright: ignore[reportUntypedFunctionDecorator]
+    @jit_decorator  # type: ignore[untyped-decorator]  # pyright: ignore[reportUntypedFunctionDecorator]
     def inner(  # numpydoc ignore=GL08
         wargs: _AutoJITWrapper[Any],
     ) -> _AutoJITWrapper[T]:
         args, kwargs = wargs.obj
         res = func(*args, **kwargs)  # pyright: ignore[reportCallIssue]
-        return _AutoJITWrapper(res)
+        return _AutoJITWrapper(res, jit_library)
 
     @functools.wraps(func)
     def outer(*args: P.args, **kwargs: P.kwargs) -> T:  # numpydoc ignore=GL08
-        wargs = _AutoJITWrapper((args, kwargs))
+        wargs = _AutoJITWrapper((args, kwargs), jit_library)
         return inner(wargs).obj
 
     return outer
diff --git a/src/array_api_extra/testing/_testing.py b/src/array_api_extra/testing/_testing.py
index 2255946d..b7afa26c 100644
--- a/src/array_api_extra/testing/_testing.py
+++ b/src/array_api_extra/testing/_testing.py
@@ -37,17 +37,6 @@
     "patch_lazy_xp_functions",
 ]
 
-
-__all__ = [
-    "assert_close",
-    "assert_close_nulp",
-    "assert_equal",
-    "assert_less",
-    "lazy_xp_function",
-    "patch_lazy_xp_functions",
-]
-
-
 P = ParamSpec("P")
 T = TypeVar("T")
 
@@ -83,6 +72,7 @@ def lazy_xp_function(
     *,
     allow_dask_compute: bool | int = False,
     jax_jit: bool = True,
+    torch_compile: bool = True,
     static_argnums: _Deprecated = DEPRECATED,
     static_argnames: _Deprecated = DEPRECATED,
 ) -> None:  # numpydoc ignore=GL07
@@ -146,6 +136,8 @@ def user_func(x):
                 return user_consumes(z)
 
         Default: True.
+    torch_compile : bool, optional
+        TODO: proper docs.
     static_argnums : Deprecated
         Deprecated; ignored.
     static_argnames : Deprecated
@@ -238,6 +230,7 @@ def test_myfunc(xp):
     tags: dict[str, bool | int | type] = {
         "allow_dask_compute": allow_dask_compute,
         "jax_jit": jax_jit,
+        "torch_compile": torch_compile,
     }
 
     if isinstance(func, tuple):
@@ -444,7 +437,19 @@ def iter_tagged() -> Iterator[
     elif _compat.is_jax_namespace(xp):
         for target, name, attr, func, tags in iter_tagged():
             if tags["jax_jit"]:
-                wrapped = _helpers.jax_autojit(func)
+                wrapped = _helpers.autojit(func, _helpers.JitLibrary.jax)
+                # If we're dealing with a staticmethod or classmethod, make
+                # sure things stay that way.
+                if isinstance(attr, staticmethod):
+                    wrapped = staticmethod(wrapped)
+                elif isinstance(attr, classmethod):
+                    wrapped = classmethod(wrapped)
+                temp_setattr(target, name, wrapped)
+
+    elif _compat.is_torch_namespace(xp):
+        for target, name, attr, func, tags in iter_tagged():
+            if tags["torch_compile"]:
+                wrapped = _helpers.autojit(func, _helpers.JitLibrary.torch)
                 # If we're dealing with a staticmethod or classmethod, make
                 # sure things stay that way.
                 if isinstance(attr, staticmethod):
diff --git a/tests/main/test_helpers.py b/tests/main/test_helpers.py
index 34e1bc8c..425a0531 100644
--- a/tests/main/test_helpers.py
+++ b/tests/main/test_helpers.py
@@ -1,5 +1,7 @@
-from collections.abc import Iterator
-from typing import Generic, TypeVar, cast
+import functools
+from collections.abc import Callable, Iterator
+from types import ModuleType
+from typing import Generic, ParamSpec, Protocol, TypeVar, cast
 
 import numpy as np
 import pytest
@@ -8,11 +10,12 @@
 from array_api_extra._lib._compat import array_namespace
 from array_api_extra._lib._compat import device as get_device
 from array_api_extra._lib._helpers import (
+    JitLibrary,
     asarrays,
+    autojit,
     capabilities,
     eager_shape,
     in1d,
-    jax_autojit,
     meta_namespace,
     ndindex,
     pickle_flatten,
@@ -23,6 +26,7 @@
 
 from .conftest import np_compat
 
+P = ParamSpec("P")
 T = TypeVar("T")
 
 # FIXME calls xp.unique_values without size
@@ -345,41 +349,48 @@ def test_recursion(self):
         assert obj2[1] is obj2
 
 
-class TestJAXAutoJIT:
-    def test_basic(self, jnp: ArrayNamespace):
-        @jax_autojit
+class AutoJitFunc(Protocol):
+    def __call__(
+        self,
+        func: Callable[P, T],
+    ) -> Callable[P, T]: ...
+
+
+class CheckAutoJIT:
+    def test_basic(self, autojit_func: AutoJitFunc, xp: ArrayNamespace):
+        @autojit_func
         def f(x: Array, k: object = False) -> Array:
             return x + 1 if k else x - 1
 
         # Basic recognition of static_argnames
-        assert_equal(f(jnp.asarray([1, 2])), jnp.asarray([0, 1]))
-        assert_equal(f(jnp.asarray([1, 2]), False), jnp.asarray([0, 1]))
-        assert_equal(f(jnp.asarray([1, 2]), True), jnp.asarray([2, 3]))
-        assert_equal(f(jnp.asarray([1, 2]), 1), jnp.asarray([2, 3]))
+        assert_equal(f(xp.asarray([1, 2])), xp.asarray([0, 1]))
+        assert_equal(f(xp.asarray([1, 2]), False), xp.asarray([0, 1]))
+        assert_equal(f(xp.asarray([1, 2]), True), xp.asarray([2, 3]))
+        assert_equal(f(xp.asarray([1, 2]), 1), xp.asarray([2, 3]))
 
         # static argument is not an ArrayLike
-        assert_equal(f(jnp.asarray([1, 2]), "foo"), jnp.asarray([2, 3]))
+        assert_equal(f(xp.asarray([1, 2]), "foo"), xp.asarray([2, 3]))
 
         # static argument is not hashable, but serializable
-        assert_equal(f(jnp.asarray([1, 2]), ["foo"]), jnp.asarray([2, 3]))
+        assert_equal(f(xp.asarray([1, 2]), ["foo"]), xp.asarray([2, 3]))
 
-    def test_wrapper(self, jnp: ArrayNamespace):
-        @jax_autojit
+    def test_wrapper(self, autojit_func: AutoJitFunc, xp: ArrayNamespace):
+        @autojit_func
         def f(w: Wrapper[Array]) -> Wrapper[Array]:
             return Wrapper(w.x + 1)
 
-        inp = Wrapper(jnp.asarray([1, 2]))
+        inp = Wrapper(xp.asarray([1, 2]))
         out = f(inp).x
-        assert_equal(out, jnp.asarray([2, 3]))
+        assert_equal(out, xp.asarray([2, 3]))
 
-    def test_static_hashable(self, jnp: ArrayNamespace):
+    def test_static_hashable(self, autojit_func: AutoJitFunc, xp: ArrayNamespace):
         """Static argument/return value is hashable, but not serializable"""
 
         class C:
             def __reduce__(self) -> object:  # type: ignore[override]  # pyright: ignore[reportIncompatibleMethodOverride,reportImplicitOverride]
                 raise Exception()  # noqa: TRY002
 
-        @jax_autojit
+        @autojit_func
         def f(x: object) -> object:
             return x
 
@@ -388,17 +399,20 @@ def f(x: object) -> object:
         assert out is inp
 
         # Serializable opaque input contains non-serializable object plus array
-        winp = Wrapper((C(), jnp.asarray([1, 2])))
+        winp = Wrapper((C(), xp.asarray([1, 2])))
         out = f(winp)
         assert isinstance(out, Wrapper)
         assert out.x[0] is winp.x[0]
         assert out.x[1] is not winp.x[1]
         assert_equal(out.x[1], winp.x[1])
 
-    def test_arraylikes_are_static(self):
+    def test_arraylikes_are_static(
+        self,
+        autojit_func: AutoJitFunc,
+    ):
         pytest.importorskip("jax")
 
-        @jax_autojit
+        @autojit_func
         def f(x: list[int]) -> list[int]:
             assert isinstance(x, list)
             assert x == [1, 2]
@@ -408,15 +422,35 @@ def f(x: list[int]) -> list[int]:
         assert isinstance(out, list)
         assert out == [3, 4]
 
-    def test_iterators(self, jnp: ArrayNamespace):
-        @jax_autojit
+    def test_iterators(self, autojit_func: AutoJitFunc, xp: ArrayNamespace):
+        @autojit_func
         def f(x: Array) -> Iterator[Array]:
             return (x + i for i in range(2))
 
-        inp = jnp.asarray([1, 2])
+        inp = xp.asarray([1, 2])
         out = f(inp)
         assert isinstance(out, Iterator)
-        assert_equal(next(out), jnp.asarray([1, 2]))
-        assert_equal(next(out), jnp.asarray([2, 3]))
+        assert_equal(next(out), xp.asarray([1, 2]))
+        assert_equal(next(out), xp.asarray([2, 3]))
         with pytest.raises(StopIteration):
             _ = next(out)
+
+
+class TestJAXAutoJit(CheckAutoJIT):
+    @pytest.fixture
+    def xp(self, jnp: ModuleType) -> ModuleType:
+        return jnp
+
+    @pytest.fixture
+    def autojit_func(self) -> AutoJitFunc:
+        return functools.partial(autojit, jit_library=JitLibrary.jax)
+
+
+class TestTorchAutoJit(CheckAutoJIT):
+    @pytest.fixture
+    def xp(self, torch: ModuleType) -> ModuleType:
+        return torch
+
+    @pytest.fixture
+    def autojit_func(self) -> AutoJitFunc:
+        return functools.partial(autojit, jit_library=JitLibrary.torch)

From e1049673495696ae4c2b7b429ed30ef1a460c443 Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Sun, 16 Aug 2026 15:07:23 +0100
Subject: [PATCH 2/5] TST: searchsorted: widen NaN sorting skip for `torch`

---
 tests/main/test_searching.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/main/test_searching.py b/tests/main/test_searching.py
index 36298889..195dea38 100644
--- a/tests/main/test_searching.py
+++ b/tests/main/test_searching.py
@@ -170,7 +170,7 @@ def test_nd(
     ):
         if nans_x and is_jax_namespace(xp):
             pytest.xfail("https://github.com/jax-ml/jax/issues/39887")
-        if nans_x and is_torch_namespace(xp) and searchsorted == xpx_searchsorted:
+        if nans_x and is_torch_namespace(xp):
             pytest.skip("torch sorts NaNs differently")
         if isinstance(shape, tuple) and searchsorted == _funcs_searchsorted:
             message = (

From 382af749adb82e244edba09b543cab27ccb10d7d Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Sun, 16 Aug 2026 15:11:45 +0100
Subject: [PATCH 3/5] fix test paths

---
 .github/actionlint.yml   | 5 -----
 .github/workflows/ci.yml | 4 ++--
 pixi.toml                | 3 ++-
 3 files changed, 4 insertions(+), 8 deletions(-)
 delete mode 100644 .github/actionlint.yml

diff --git a/.github/actionlint.yml b/.github/actionlint.yml
deleted file mode 100644
index 82f382b1..00000000
--- a/.github/actionlint.yml
+++ /dev/null
@@ -1,5 +0,0 @@
-paths:
-  .github/workflows/ci.yml:
-    ignore:
-      # ignore double quoting code SC2086
-      - "shellcheck reported issue in this script: SC2086:.+"
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4cf6a804..69c41a16 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -85,7 +85,7 @@ jobs:
           # Non-default pixi task (default: tests-ci)
           - {
               environment: tests-nogil,
-              task: "tests --parallel-threads=4",
+              task: tests "--parallel-threads=4 tests/main",
               no-coverage: true,
               x64_runner: ubuntu-latest,
             }
@@ -110,7 +110,7 @@ jobs:
           environments: ${{ matrix.environment }}
 
       - name: Test
-        run: pixi run -e "${TASK_ENV}" ${TASK}
+        run: pixi run -e "${TASK_ENV}" "${TASK}"
         env:
           TASK_ENV: ${{ matrix.environment }}
           TASK: ${{ matrix.task || 'tests-ci' }}
diff --git a/pixi.toml b/pixi.toml
index 466a1a50..1776b03c 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -239,7 +239,8 @@ doctests = {
 }
 tests-cov = {
   description = "Run tests with coverage",
-  cmd = "pytest -v -ra --cov --cov-report=xml --cov-report=term --durations=20 tests/main",
+  args = [{ arg = "pytest_args", default = "tests/main" }],
+  cmd = "pytest -v -ra --cov --cov-report=xml --cov-report=term --durations=20 {{ pytest_args }}",
   default-environment = "tests",
 }
 

From 6125e913ce67b6779b416dd0968059581941ab0d Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Sun, 16 Aug 2026 15:43:20 +0100
Subject: [PATCH 4/5] TST: autojit: restrict object inequality check to JAX

---
 tests/main/test_helpers.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tests/main/test_helpers.py b/tests/main/test_helpers.py
index 425a0531..ab37e1a6 100644
--- a/tests/main/test_helpers.py
+++ b/tests/main/test_helpers.py
@@ -7,7 +7,7 @@
 import pytest
 
 from array_api_extra._lib._backends import Backend
-from array_api_extra._lib._compat import array_namespace
+from array_api_extra._lib._compat import array_namespace, is_jax_namespace
 from array_api_extra._lib._compat import device as get_device
 from array_api_extra._lib._helpers import (
     JitLibrary,
@@ -403,7 +403,8 @@ def f(x: object) -> object:
         out = f(winp)
         assert isinstance(out, Wrapper)
         assert out.x[0] is winp.x[0]
-        assert out.x[1] is not winp.x[1]
+        if is_jax_namespace(xp):
+            assert out.x[1] is not winp.x[1]
         assert_equal(out.x[1], winp.x[1])
 
     def test_arraylikes_are_static(

From 9eb1bcc9e551e4727e8dc53759653c9f149d4a20 Mon Sep 17 00:00:00 2001
From: Lucas Colley <lucas.colley8@gmail.com>
Date: Mon, 17 Aug 2026 02:16:30 +0100
Subject: [PATCH 5/5] add compiler dep

---
 pixi.lock | 1889 +++++++++++++++++++++++++++++++++++++++++++++++++++--
 pixi.toml |    1 +
 2 files changed, 1824 insertions(+), 66 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index b3f95bfe..b1f3133c 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -264,15 +264,27 @@ environments:
       - conda: https://prefix.dev/conda-forge/linux-64/actionlint-1.7.12-h8bc977c_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/ast-serialize-0.8.0-py310hd8a072f_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/astroid-4.0.4-py314hdafbbf9_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/binutils-2.46.1-default_h4852527_102.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/binutils_impl_linux-64-2.46.1-default_hfdba357_102.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/binutils_linux-64-2.46.1-default_h4852527_102.conda
       - conda: https://prefix.dev/conda-forge/linux-64/brotli-python-1.2.0-py314hcd2bdb6_3.conda
       - conda: https://prefix.dev/conda-forge/linux-64/bzip2-1.0.8-hda65f42_10.conda
       - conda: https://prefix.dev/conda-forge/linux-64/c-ares-1.34.8-h280c20c_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/c-compiler-1.11.0-h4d9bdce_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/conda-gcc-specs-14.4.0-h611768e_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/coverage-7.15.4-py314h0993b80_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/cxx-compiler-1.11.0-hfcd1e18_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/dprint-0.50.0-hb23c6cf_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/flatbuffers-25.9.23-hb7d4c21_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/fmt-12.1.0-h76c4fd7_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/gcc-14.4.0-hc6a0c74_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/gcc_impl_linux-64-14.4.0-h9711763_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/gcc_linux-64-14.4.0-hc469d41_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/gmp-6.3.0-hfd2156b_3.conda
       - conda: https://prefix.dev/conda-forge/linux-64/gmpy2-2.3.1-py314h1867f89_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/gxx-14.4.0-hd47ba16_1.conda
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-      - conda_source: array-api-extra[6e183cec] @ .
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-      - conda_source: array-api-extra[6e183cec] @ .
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-      - conda_source: array-api-extra[b6ba2e51] @ .
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-      - conda_source: array-api-extra[6e183cec] @ .
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-      - conda_source: array-api-extra[6e183cec] @ .
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-      - conda_source: array-api-extra[b6ba2e51] @ .
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-      - conda_source: array-api-extra[fcbdfab4] @ .
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-      - conda_source: array-api-extra[6e183cec] @ .
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       - conda: https://prefix.dev/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
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-      - conda_source: array-api-extra[6e183cec] @ .
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-      - conda_source: array-api-extra[b6ba2e51] @ .
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       - conda: https://prefix.dev/conda-forge/win-64/vcomp14-14.51.36247-habf1de7_41.conda
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-      - conda_source: array-api-extra[6e183cec] @ .
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@@ -5839,10 +6228,17 @@ environments:
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@@ -20089,6 +21701,40 @@ packages:
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   - conda: https://prefix.dev/conda-forge/osx-arm64/zstd-1.5.7-hf451053_7.conda
+- conda_source: array-api-extra[6ae9f1b3] @ .
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.11
+  - python *
+  - array-api-compat >=1.15.0,<2
+  license: MIT
+  host_packages:
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+  - conda: https://prefix.dev/conda-forge/osx-arm64/readline-8.3-h8b90a29_1.conda
+  - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-hd3d0363_3.conda
+  - conda: https://prefix.dev/conda-forge/osx-arm64/uv-0.12.5-h58858c0_1.conda
+  - conda: https://prefix.dev/conda-forge/osx-arm64/zstd-1.5.7-hf451053_7.conda
 - conda_source: array-api-extra[6e183cec] @ .
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@@ -20162,6 +21808,117 @@ packages:
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   - conda: https://prefix.dev/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
   - conda: https://prefix.dev/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+- conda_source: array-api-extra[cb2ce0ee] @ .
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.11
+  - python *
+  - array-api-compat >=1.15.0,<2
+  license: MIT
+  host_packages:
+  - conda: https://prefix.dev/conda-forge/noarch/ca-certificates-2026.7.22-hbd8a1cb_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/meson-1.12.0-pyhcf101f3_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/meson-python-0.20.0-pyh7e86bf3_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/pyproject-metadata-0.12.1-pyhd8ed1ab_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://prefix.dev/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
+  - conda: https://prefix.dev/conda-forge/osx-64/bzip2-1.0.8-h374f1ed_10.conda
+  - conda: https://prefix.dev/conda-forge/osx-64/libcxx-22.1.8-h19cb2f5_0.conda
+  - conda: https://prefix.dev/conda-forge/osx-64/libexpat-2.8.1-hcc62823_1.conda
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+- conda_source: array-api-extra[da4a6757] @ .
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.11
+  - python *
+  - array-api-compat >=1.15.0,<2
+  license: MIT
+  host_packages:
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+- conda_source: array-api-extra[e1258456] @ .
+  variants:
+    target_platform: noarch
+  depends:
+  - python >=3.11
+  - python *
+  - array-api-compat >=1.15.0,<2
+  license: MIT
+  host_packages:
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+  - conda: https://prefix.dev/conda-forge/linux-64/bzip2-1.0.8-hda65f42_10.conda
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+  - conda: https://prefix.dev/conda-forge/noarch/meson-python-0.20.0-pyh7e86bf3_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/packaging-26.3-pyhc364b38_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/pyproject-metadata-0.12.1-pyhd8ed1ab_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/python_abi-3.14-8_cp314.conda
+  - conda: https://prefix.dev/conda-forge/noarch/tomli-2.4.1-pyhcf101f3_0.conda
+  - conda: https://prefix.dev/conda-forge/noarch/tzdata-2026c-h151e31d_0.conda
 - conda_source: array-api-extra[fcbdfab4] @ .
   variants:
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diff --git a/pixi.toml b/pixi.toml
index 1776b03c..0512cf32 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -372,6 +372,7 @@ numpy = "=1.24.1"
 # Note: JAX and PyTorch will install CPU variants.
 [feature.backends.dependencies]
 pytorch = ">=2.12.0"
+cxx-compiler = ">=1.11.0,<2"  # for torch.compile
 dask-core = ">=2026.7.1"  # No distributed, tornado, etc.
 sparse = ">=0.19.1"