[Data] Change offsets to int64 and change to LargeList for ArrowTensorArray #45352
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Why are these changes needed?
Currently, the ArrowTensorArray and ArrowVariableShapedTensorArray types use int32 to encode the list offsets. This means that within a given PyArrow chunk in a column, the sum of the sizes of all of the tensors in that chunk must be less than 2^31; otherwise, depending on the overflow conditions, an error is thrown or the data is truncated. This usually doesn't manifest itself in Ray Data with the default settings, because it splits the blocks up to meet the target max block size (though this can be turned off!). However, it unavoidably shows up when one needs a large local shuffle buffer to feed into Ray Train.
This PR changes the offsets to be stored in 64-bit integers and updates the corresponding storage types of the TensorArrays.
As an example:
fails with
Checks
git commit -s
) in this PR.scripts/format.sh
to lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/
under thecorresponding
.rst
file.