support copy in from_dlpack

Author: leofang

src/array_api_stubs/_draft/array_object.py

@@ -290,7 +290,9 @@ def __complex__(self: array, /) -> complex:
     def __dlpack__(
         self: array, /, *,
         stream: Optional[Union[int, Any]] = None,
-        max_version: Optional[tuple[int, int]] = None
+        max_version: Optional[tuple[int, int]] = None,
+        dl_device: Optional[Tuple[Enum, int]] = None,
+        copy: Optional[bool] = False
     ) -> PyCapsule:
         """
         Exports the array for consumption by :func:`~array_api.from_dlpack` as a DLPack capsule.
@@ -335,6 +337,17 @@ def __dlpack__(
             ``__dlpack__``) supports, in the form of a 2-tuple ``(major, minor)``.
             This method may return a capsule of version ``max_version`` (recommended
             if it does support that), or of a different version.
+        dl_device: Optional[Tuple[Enum, int]]
+            The DLPack device type. Default is ``None``, meaning the exported capsule
+            should be on the same device as ``self`` is. When specified, the format
+            must follow that of the return value of :meth:`array.__dlpack_device__`.
+            If the device type cannot be handled by the producer, this function must
+            raise `BufferError`.
+        copy: Optional[bool]
+            Whether or not a copy should be made. Default is ``False`` to enable
+            zero-copy data exchange. However, a user can request a copy to be made
+            by the producer (through the consumer's :func:`~array_api.from_dlpack`)
+            to move data across the library (and/or device) boundary.
 
         Returns
         -------
@@ -390,7 +403,7 @@ def __dlpack__(
                     # here to tell users that the consumer's max_version is too
                     # old to allow the data exchange to happen.
 
-        And this logic for the consumer in ``from_dlpack``:
+        And this logic for the consumer in :func:`~array_api.from_dlpack`:
 
         .. code:: python
 
@@ -405,7 +418,7 @@ def __dlpack__(
             Added BufferError.
 
         .. versionchanged:: 2023.12
-            Added the ``max_version`` keyword.
+            Added the ``max_version``, ``dl_device``, and ``copy`` keywords.
         """
 
     def __dlpack_device__(self: array, /) -> Tuple[Enum, int]:
@@ -432,6 +445,8 @@ def __dlpack_device__(self: array, /) -> Tuple[Enum, int]:
               METAL = 8
               VPI = 9
               ROCM = 10
+              CUDA_MANAGED = 13
+              ONE_API = 14
         """
 
     def __eq__(self: array, other: Union[int, float, bool, array], /) -> array:

src/array_api_stubs/_draft/creation_functions.py

@@ -19,6 +19,7 @@
 
 
 from ._types import (
+    Any,
     List,
     NestedSequence,
     Optional,
@@ -214,19 +215,36 @@ def eye(
     """
 
 
-def from_dlpack(x: object, /) -> array:
+def from_dlpack(
+    x: object, /, *,
+    device: Optional[device] = None,
+    copy: Optional[bool] = False,
+) -> Union[array, Any]:
     """
     Returns a new array containing the data from another (array) object with a ``__dlpack__`` method.
 
     Parameters
     ----------
     x: object
         input (array) object.
+    device: Optional[device]
+        device on which to place the created array. If ``device`` is ``None`` and ``x`` supports DLPack, the output array device must be inferred from ``x``. Default: ``None``.
+
+        The v2023.12 standard only mandates that a compliant library must offer a way for ``from_dlpack`` to create an array on CPU (using
+        the library-chosen way to represent the CPU device - ``kDLCPU`` in DLPack - e.g. a ``"CPU"`` string or a ``Device("CPU")`` object).
+        If the compliant library does not support the CPU device and needs to outsource to another (compliant) array library, it may do so
+        with a clear user documentation and/or run-time warning. If a copy must be made to enable this, and ``copy`` is set to ``False``,
+        the function must raise ``ValueError``.
+
+        Other kinds of devices will be considered for standardization in a future version.
+    copy: Optional[bool]
+        boolean indicating whether or not to copy the input. If ``True``, the function must always copy. If ``False``, the function must never copy and must raise a ``BufferError`` in case a copy would be necessary (e.g. the producer disallows views). Default: ``False``.
 
     Returns
     -------
-    out: array
-        an array containing the data in `x`.
+    out: Union[array, Any]
+        an array containing the data in ``x``. In the case that the compliant library does not support the given ``device`` out of box
+        and must oursource to another (compliant) library, the output will be that library's compliant array object.
 
         .. admonition:: Note
            :class: note
@@ -238,9 +256,9 @@ def from_dlpack(x: object, /) -> array:
     BufferError
         The ``__dlpack__`` and ``__dlpack_device__`` methods on the input array
         may raise ``BufferError`` when the data cannot be exported as DLPack
-        (e.g., incompatible dtype or strides). It may also raise other errors
+        (e.g., incompatible dtype, strides, or device). It may also raise other errors
         when export fails for other reasons (e.g., not enough memory available
-        to materialize the data). ``from_dlpack`` must propagate such
+        to materialize the data, a copy must made, etc). ``from_dlpack`` must propagate such
         exceptions.
     AttributeError
         If the ``__dlpack__`` and ``__dlpack_device__`` methods are not present
@@ -251,6 +269,9 @@ def from_dlpack(x: object, /) -> array:
     -----
     See :meth:`array.__dlpack__` for implementation suggestions for `from_dlpack` in
     order to handle DLPack versioning correctly.
+
+    .. versionchanged:: 2023.12
+       Added device and copy support.
     """