This commit makes the following changes:
- Expose `map` and `mapOperands` in
`ValueBoundsConstraintSet::Variable`, so that the class can be used by
subclasses of `ValueBoundsConstraintSet`. Otherwise subclasses cannot
access those members.
- Add `ValueBoundsConstraintSet::strongCompare`. This method is similar
to `ValueBoundsConstraintSet::compare` except that it returns false when
the inverse comparison holds, and `llvm::failure()` if neither the
relation nor its inverse relation could be proven.
- Add `simplifyAffineMinOp`, `simplifyAffineMaxOp`, and
`simplifyAffineMinMaxOps` to simplify those operations using
`ValueBoundsConstraintSet`.
- Adds the `SimplifyMinMaxAffineOpsOp` transform op that uses
`simplifyAffineMinMaxOps`.
- Add the `test.value_with_bounds` op to test unknown values with a min
max range using `ValueBoundsOpInterface`.
- Adds tests verifying the transform.
Example:
```mlir
func.func @overlapping_constraints() -> (index, index) {
%0 = test.value_with_bounds {min = 0 : index, max = 192 : index}
%1 = test.value_with_bounds {min = 128 : index, max = 384 : index}
%2 = test.value_with_bounds {min = 256 : index, max = 512 : index}
%r0 = affine.min affine_map<()[s0, s1, s2] -> (s0, s1, s2)>()[%0, %1, %2]
%r1 = affine.max affine_map<()[s0, s1, s2] -> (s0, s1, s2)>()[%0, %1, %2]
return %r0, %r1 : index, index
}
// Result of applying `simplifyAffineMinMaxOps` to `func.func`
#map1 = affine_map<()[s0, s1] -> (s1, s0)>
func.func @overlapping_constraints() -> (index, index) {
%0 = test.value_with_bounds {max = 192 : index, min = 0 : index}
%1 = test.value_with_bounds {max = 384 : index, min = 128 : index}
%2 = test.value_with_bounds {max = 512 : index, min = 256 : index}
%3 = affine.min #map1()[%0, %1]
%4 = affine.max #map1()[%1, %2]
return %3, %4 : index, index
}
```
---------
Co-authored-by: Nicolas Vasilache <Nico.Vasilache@amd.com>
c7165587e4