[mlir] Enable decoupling two kinds of greedy behavior. (#104649)

The greedy rewriter is used in many different flows and it has a lot of
convenience (work list management, debugging actions, tracin

[mlir] Enable decoupling two kinds of greedy behavior. (#104649)

The greedy rewriter is used in many different flows and it has a lot of
convenience (work list management, debugging actions, tracing, etc). But
it combines two kinds of greedy behavior 1) how ops are matched, 2)
folding wherever it can.

These are independent forms of greedy and leads to inefficiency. E.g.,
cases where one need to create different phases in lowering and is
required to applying patterns in specific order split across different
passes. Using the driver one ends up needlessly retrying folding/having
multiple rounds of folding attempts, where one final run would have
sufficed.

Of course folks can locally avoid this behavior by just building their
own, but this is also a common requested feature that folks keep on
working around locally in suboptimal ways.

For downstream users, there should be no behavioral change. Updating
from the deprecated should just be a find and replace (e.g., `find ./
-type f -exec sed -i
's|applyPatternsAndFoldGreedily|applyPatternsGreedily|g' {} \;` variety)
as the API arguments hasn't changed between the two.

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[mlir][linalg] Implement patterns for reducing rank of named linalg contraction ops (#95710)

This patch introduces pattern rewrites for reducing the rank of named
linalg contraction ops with unit s

[mlir][linalg] Implement patterns for reducing rank of named linalg contraction ops (#95710)

This patch introduces pattern rewrites for reducing the rank of named
linalg contraction ops with unit spatial dim(s) to other named
contraction ops. For example `linalg.batch_matmul` with batch size 1 ->
`linalg.matmul` and `linalg.matmul` with unit LHS spatial dim ->
`linalg.vecmat`, etc. These patterns don't support reducing the rank
along reduction dimension as those don't convert to other named
contraction ops.

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