jorisvandenbossche commented on code in PR #37533:
URL: https://github.com/apache/arrow/pull/37533#discussion_r1426941260
##########
python/pyarrow/array.pxi:
##########
@@ -3573,17 +3595,20 @@ class FixedShapeTensorArray(ExtensionArray):
]
]
"""
- if not obj.flags["C_CONTIGUOUS"]:
- raise ValueError('The data in the numpy array need to be in a
single, '
- 'C-style contiguous segment.')
+
+ permutation = (-np.array(obj.strides)).argsort()
+ if not permutation[0] == 0:
+ raise ValueError('First stride needs to be largest to ensure that '
+ 'individual tensor data is contiguous in memory.')
arrow_type = from_numpy_dtype(obj.dtype)
- shape = obj.shape[1:]
- size = obj.size / obj.shape[0]
+ shape = np.take(obj.shape, permutation)
+ values = np.lib.stride_tricks.as_strided(
+ obj, shape=(obj.size,), strides=(obj.dtype.itemsize,))
Review Comment:
In general it will make a copy when the memory layout changes, but by
specifying `order="K"`, you say to use the original memory layout, which I
think means it will always be zero-copy
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