tlopex commented on PR #20239:
URL: https://github.com/apache/tvm/pull/20239#issuecomment-5530892869

   `10 ** abs(decimals)` is evaluated as a Python integer before it is 
converted to the target dtype. PyTorch accepts values such as `decimals=309`, 
and `torch.export` emits a valid `aten.round.decimals` node, but 
`relax.const(10**309, "float32")` and the float64 variant raise `OverflowError: 
int too large to convert to float`. As a result, these valid exported programs 
still fail during import. Even larger values can also require constructing an 
unnecessarily large host integer.
   
   Please construct or saturate the scale directly in the target floating-point 
dtype, or handle scale overflow explicitly, and add a regression test with a 
large `decimals` value.


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