GH-49746: [Python] Add row_splits/offsets methods for VariableShapeTensorArray#49747
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rok wants to merge 1 commit intoapache:mainfrom
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GH-49746: [Python] Add row_splits/offsets methods for VariableShapeTensorArray#49747rok wants to merge 1 commit intoapache:mainfrom
rok wants to merge 1 commit intoapache:mainfrom
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…/from_offsets methods to VariableShapeTensor Python bindings Add PyArrow bindings for the VariableShapeTensor extension type, including VariableShapeTensorType, VariableShapeTensorArray, and VariableShapeTensorScalar with support for converting to/from NumPy tensors.
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Component: Python
Component: Documentation
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Rationale for this change
VariableShapeTensorArray stores ragged tensor data as a StructArray of {data: list, shape: fixed_size_list[ndim]}. Users coming from ML frameworks (notably TensorFlow RaggedTensor) might have their data already laid out as a flat values buffer plus row boundaries (row_splits), and want to construct/inspect a VariableShapeTensorArray directly in that form without materializing a Python-level list of ndarrays.
What changes are included in this PR?
Add four methods such as
from_row_splits,from_offsets,to_row_splits,to_offsetsAre these changes tested?
Python tests are included.
Are there any user-facing changes?
Yes, new methods are added.