GregoryKimball commented on PR #33925: URL: https://github.com/apache/arrow/pull/33925#issuecomment-1433923846
Thank you everyone for this discussion. The proposal looks good to me, and I would like your help checking my understanding. In [RAPIDS libcudf](https://github.com/rapidsai/cudf), we would use an nested List type to represent the proposed Tensor type. In the case where `permutation` is not provided, I believe we could use the elements zero-copy and then create offsets based on the `shape` parameter. So this Tensor example with 2 rows of (2,3) tensors: ``` value_type: int32 shape: (2,3) elements: [1,2,3,4,5,6,7,8,9,10,11,12] ``` would correspond to these List column children: ``` data_type: int32 offsets: [0,2,4] offsets: [0,3,6,9,12] elements: [1,2,3,4,5,6,7,8,9,10,11,12] ``` Would you please let me know if my conversion looks correct? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
