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Rok Mihevc commented on ARROW-1614: ----------------------------------- As proposed by [~jorisvandenbossche] I've made a draft PR ( [https://github.com/apache/arrow/pull/8510.]) with python logic prototype. It was heavily inspired by [~bryanc]'s text-extensions-for-pandas. Once we agree on the design we can rewrite it to c++. As this is for the case where all tensors in the array are of the same shape I propose we store the data in a single Tensor. Is there a good reason not to do that? I assume we should support non-contiguous tensors. I'll add that. Any comments at this point? > [C++] Add a Tensor logical value type with constant dimensions, implemented > using ExtensionType > ----------------------------------------------------------------------------------------------- > > Key: ARROW-1614 > URL: https://issues.apache.org/jira/browse/ARROW-1614 > Project: Apache Arrow > Issue Type: New Feature > Components: C++, Format > Reporter: Wes McKinney > Priority: Major > Labels: pull-request-available > Time Spent: 20m > Remaining Estimate: 0h > > In an Arrow table, we would like to add support for a column that has values > cells each containing a tensor value, with all tensors having the same > dimensions. These would be stored as a binary value, plus some metadata to > store type and shape/strides. -- This message was sent by Atlassian Jira (v8.3.4#803005)