t-vi commented on pull request #7023:
URL: https://github.com/apache/tvm/pull/7023#issuecomment-738647194


   So what I didn't do yet is move all utility functions that use the state 
(default_dtype and prelude) into the class. We could add that or defer.
   Also, I wondered if you're attached to excepting the quantized ops in 
`report_missing_conversions` and then adding them to the `convert_map` later in 
the `from_pytorch` function. If one moves the addition to `convert_map` up, one 
can drop the special casing in the `report_missing_conversions`. (Also, I'm not 
sure if one wouldn't add the quantized ops all along, but I did not study the 
design enough here.)


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