Extend multi-buffering to simplify the affine map created if any of its operands are constants. This avoids downstream problems where more complex affine.apply operations cannot be expanded.
Transfer attributes from the old allocation to the new allocation.
Reviewed By: ThomasRaoux
Differential Revision: https://reviews.llvm.org/D134894
Add the plumbing necessary to call the memref dialect's multiBuffer
function. This will allow separation between choosing which buffers
to multi-buffer and the actual transform.
Alter the multibuffer function to return the newly created
allocation if multi-buffering succeeds. This is necessary to
communicate with the transform dialect hooks what allocation
multi-buffering created.
Reviewed By: ftynse, nicolasvasilache
Differential Revision: https://reviews.llvm.org/D133985
The result shape of a rank-reducing subview cannot be inferred in the general case. Just the result rank is not enough. The only thing that we can infer is the layout map.
This change also improves the bufferization patterns of tensor.extract_slice and tensor.insert_slice to fully support rank-reducing operations.
Differential Revision: https://reviews.llvm.org/D129144
This transformation is useful to break dependency between consecutive loop
iterations by increasing the size of a temporary buffer. This is usually
combined with heavy software pipelining.
Differential Revision: https://reviews.llvm.org/D119406
