mbrookhart commented on pull request #7550:
URL: https://github.com/apache/tvm/pull/7550#issuecomment-787634639


   I thought about this over the weekend. I agree that this is the right 
solution. Fold-Constant doesn't assume training or inference, it's more 
general, and in the training case, dropout should never be folded. 
Additionally, the VM and the GraphRuntime both run FoldConstant after 
SimplifyInference, so this shouldn't hurt inference performance.


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