Add a pattern that bubbles up tensor.extract_slice through
tensor.collapse_shape.
The pattern is registered in a pattern population function that is used
by the transform op
transform.apply_patterns.tensor.bubble_up_extract_slice and by the
tranform op transform.structured.fuse as a cleanup pattern.
This pattern enables tiling and fusing op chains which contain
tensor.collapse_shape if added as a cleanup pattern of tile and fuse
utility.
Without this pattern that would not be possible, as
tensor.collapse_shape does not implement the tiling interface. This is
an additional pattern to the one added in PR #126898
One fusion pattern for collapse_shape -> expand_shape was added in
a95ad2da36,
however if the intermediate tensor between a collapse and expand is a
0-D tensor, then the `reassociation_map` for these two are special cases
and can't be generally fused in this function
`BubbleUpExpandThroughParallelCollapse`.
Add a pattern that bubbles up tensor.extract_slice through
tensor.expand_shape, and add a transform op to tensor dialect
to directly use this pattern.
This pattern enables tiling and fusing op chains which contain
tensor.expand_shape if added as a cleanup pattern of tile and fuse
utility.
Without this pattern that would not be possible, as
tensor.expand_shape does not implement the tiling interface.
In addition, registering this pattern as a cleanup pattern for
transform.structured.fuse.
The pattern was first implement in IREE project by
Quinn Dawkins and is being upstreamed.
---------
Co-authored-by: Quinn Dawkins <quinn.dawkins@gmail.com>
Refactored @Max191's PR https://github.com/llvm/llvm-project/pull/94637
to move it to `Tensor`
From the original PR
>This PR adds fusion by expansion patterns to push a tensor.expand_shape
up through a tensor.collapse_shape with non-intersecting reassociations.
Sometimes parallel collapse_shape ops like this can block propagation of
expand_shape ops, so this allows them to pass through each other.
I'm not sure if I put the code/tests in the right places, so let me know
where those go if they aren't.
cc @MaheshRavishankar @hanhanW
---------
Co-authored-by: Max Dawkins <max.dawkins@gmail.com>
