AntoinePrv commented on code in PR #50929:
URL: https://github.com/apache/arrow/pull/50929#discussion_r3922597326
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python/pyarrow/tests/test_dlpack.py:
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@@ -145,6 +145,68 @@ def test_tensor_dlpack(np_type):
check_dlpack_export(t, expected)
+def multidim_arrays():
+ np_arr = np.arange(12, dtype=np.int32).reshape(3, 2, 2)
+ values = pa.array(np_arr.ravel(), type=pa.int32())
+ nested_list = pa.FixedSizeListArray.from_arrays(
+ pa.FixedSizeListArray.from_arrays(values, 2), 2)
+ return [
+ pytest.param(nested_list, np_arr, id="nested_fixed_size_list"),
+ pytest.param(
+ pa.FixedShapeTensorArray.from_numpy_ndarray(np_arr),
+ np_arr,
+ id="fixed_shape_tensor",
+ ),
+ ]
+
+
+@check_bytes_allocated
[email protected](('arr', 'expected'), multidim_arrays())
+def test_array_to_tensor_dlpack(arr, expected):
+ if Version(np.__version__) < Version("2.1.0"):
+ pytest.skip("Versioned DLPack capsules require numpy 2.1.0 or later")
+
+ tensor = arr.to_tensor()
+ # A Tensor sharing an Array buffer is immutable, so it can only be exported
+ # through the versioned DLPack protocol.
+ assert not tensor.is_mutable
+ result = np.from_dlpack(DLPackForwarder(tensor, max_version=(1, 0)))
Review Comment:
It seems latest numpy does not support `max_version` argument.
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