pimdh commented on PR #38008:
URL: https://github.com/apache/arrow/pull/38008#issuecomment-2800814128

   Thanks a lot! I'm currently using a combination of Arrow with Ray (Data) for 
data transformation pipelines, and Lance for storage. Now I'm using a custom 
VariableShapeTensor, awaiting this official type to land.
   This is all on host memory. I copy things to numpy first, and then to GPU. I 
plan to experiment with Arrow+DLPack in the future.
   
   As I understand it, the FixedShapeTensorArray has less need for a Large 
version, because the FixedSizeListType does not hold an offset int32 array like 
the ListType does. So 1 array can hold many tensors, as long as each is less 
than 2^31 elements. The VariableShapeTensorArray as it's currently documented 
can hold at most 2^31 elements in all tensors in the array combined, so that 
limit is hit earlier. Also, there doesn't seem to be a LargeFixedSizeListType, 
which has an int64 size?


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