[GitHub] [arrow] GregoryKimball commented on pull request #33925: GH-33923: [Docs] Tensor canonical extension type specification

["GregoryKimball (via GitHub)" <gi...@apache.org>]

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?


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