[GitHub] [tvm] FrozenGene edited a comment on pull request #9735: [AMP][Pass][Typing] Add faster type inference

[GitBox <gi...@apache.org>]

FrozenGene edited a comment on pull request #9735:
URL: https://github.com/apache/tvm/pull/9735#issuecomment-1004535763


   @AndrewZhaoLuo Sorry for later reply. Does this help us to solve ADT problem in our MixedPrecision? Let us imagine we have one `if` node in our relay graph, `if` will be converted two subgraphs mentioned by you in this pr. For example:
   
   ```python
   fn main():
       let %1 = xxx;
       let %2 = if (%1) {
       let %3: = @func___inference_a(%4, %5, %6) 
     } else {
       let %7: = @func___inference_b(%8, %9)
     };  
   ```
   Then we have two subgraph `func___inference_a` and `func___inference_b`. Does this help us to make our two subgraph type infer correctly? As I see you have supported `GlobalVarNode`.


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