Lunderberg opened a new pull request, #16588:
URL: https://github.com/apache/tvm/pull/16588

   Expressions of the form `(A+B)*C < (A*B)*D` can occur occur when comparing 
the number of operations required for two different orderings in which matrix 
multiplications can be performed. Proving or disproving this conditional allows 
an optimal order of execution to be selected, even for dynamic argument shapes.
   
   The default behavior of `ConstIntBounds` assumes that each term in an 
expression is independent.  For example, the maximum value of `(A+B)*C
   - (A*B)*D` is determined by taking the maximum value of `(A+B)*C` and 
subtracting the minimum value of `(A*B)*D`.  This algorithm can be applied in 
all cases, but can provide a bound that is looser than strictly required.
   
   This commit adds a check for this case in `ConstIntBounds`, to provide a 
tighter bound of possible values.  When `A`, `B`, `C`, and `D` are all positive 
values, as is the case for tensor shapes, the inequality can be written as `1/A 
+ 1/B < D/C`.  If this inequality holds for the minimum values of `A`, `B`, and 
`D`, along with the maximum value of `C`, then it holds for all values.


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