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https://issues.apache.org/jira/browse/ARROW-8714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17223206#comment-17223206
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Rok Mihevc commented on ARROW-8714:
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I like idea of batching into equally shaped Tensors. It would require a bit
extra complexity for keeping original order of elements and taking into account
cases where Tensors with equal shapes would have different strides. I suppose
this will become clearer with ARROW-1614 resolved.
> [C++] Add a Tensor logical value type with varying dimensions, implemented
> using ExtensionType
> ----------------------------------------------------------------------------------------------
>
> Key: ARROW-8714
> URL: https://issues.apache.org/jira/browse/ARROW-8714
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++, Format
> Reporter: Christian Hudon
> Priority: Major
>
> Support for tensor in Table, RecordBatch, etc. where each row is a tensor of
> a different shape (e.g images of different sizes), but of the same underlying
> type (e.g. int32). Implemented as an ExtensionType, so no need to change the
> format.
> I don't see needing each row being a tensor with a different number of
> dimensions, so if the implementation for that falls out easily of the use
> case with each row in the table having a tensor with the same number of
> dimensions, great. If it adds a lot of complexity, that case would be
> postponed.
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