Update most test passes to use the transform-interpreter pass instead of
the test-transform-dialect-interpreter-pass. The new "main" interpreter
pass has a named entry point instead of looking up the top-level op with
`PossibleTopLevelOpTrait`, which is arguably a more understandable
interface. The change is mechanical, rewriting an unnamed sequence into
a named one and wrapping the transform IR in to a module when necessary.
Add an option to the transform-interpreter pass to target a tagged
payload op instead of the root anchor op, which is also useful for repro
generation.
Only the test in the transform dialect proper and the examples have not
been updated yet. These will be updated separately after a more careful
consideration of testing coverage of the transform interpreter logic.
This PR renames the vectorization transform ops as follows:
* `structured.masked_vectorize` => `structured.vectorize`. This reflects
the fact that since [recently](https://reviews.llvm.org/D157774) the op
can also handle the unmasked case.
* `structured.vectorize` =>
`structured.vectorize_children_and_applies_patterns`. This reflects the
fact that the op does not just vectorize the given payload op but all
vectorizable children contained in it, and applies patterns before and
after for preparation and clean-up.
This rename was discussed first
[here](https://reviews.llvm.org/D157774).
The PR also adapts and cleans ups the tablegen description of the
`VectorizeChildrenAndApplyPatternsOp` (formerly `VectorizeOp`).
For now, only elementwise operations are supported. Operations that perform any
kind of data permutation require changes in the representation of scalable
dimensions in VectorType.
Differential Revision: https://reviews.llvm.org/D152599
