This patch fixes a bug discovered in the
`affine::makeComposedFoldedAffineApply` function when `composeAffineMin
== true`. The bug happened because the simplification assumed the
symbols appearing in the `affine.apply` op corresponded to symbols in
the `affine.min` op, and that's not always the case. For example:
```mlir
#map = affine_map<()[s0, s1] -> (s1)>
#map1 = affine_map<()[s0, s1] -> (s0 ceildiv s1)>
module {
func.func @min_max_full_simplify() -> index {
%0 = test.value_with_bounds {max = 64 : index, min = 32 : index}
%1 = test.value_with_bounds {max = 64 : index, min = 32 : index}
%2 = affine.min #map()[%0, %1]
%3 = affine.apply #map1()[%2, %0]
return %3 : index
}
}
```
This patch also introduces the test `make_composed_folded_affine_apply`
transform operation to test this simplification. It also adds tests
ensuring we get correct behavior.
---------
Co-authored-by: Nicolas Vasilache <nico.vasilache@amd.com>
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