[mlir][vector] Add scalable vectors to tests for vector.contract #70039
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Update the remaining tests for matrix multiplication (_matmul_) in: * vector-contract-to-outerproduct-transforms.mlir with cases for scalable vectors. Note that in order for the "vector.contract -> vector.outerproduct" patterns to work, only the non-reduction dimension can be scalable (*). For Matmul operations that is set to be the N dimension (i.e. rows of the output matrix), which matches how matrix multiplication are normally implemented for e.g. Arm's SVE. However, making the M dimension scalable (i.e. columns of the output matrix) should work as well. Making both parellel dimensions scalable is left as a TODO for when support for 2-D scalable vectors is more established (this is work-in-progress as part of the effort to support Arm's SME in MLIR). The change in: * `UnrolledOuterProductGenerator` is a "bug fix" to make sure that the conversion pattern correctly propagates scalability when creating `arith.extf` operations. (*) The conversion tested in this file unrolls along the reduction dimension, which is not supported for scalable vectors.
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Update the remaining tests for matrix multiplication (matmul) in:
with cases for scalable vectors.
Note that in order for the "vector.contract -> vector.outerproduct"
patterns to work, only the non-reduction dimension can be scalable (*).
For Matmul operations that is set to be the N dimension (i.e. rows of
the output matrix), which matches how matrix multiplication are normally
implemented for e.g. Arm's SVE. However, making the M dimension scalable
(i.e. columns of the output matrix) should work as well.
Making both parellel dimensions scalable is left as a TODO for when
support for 2-D scalable vectors is more established (this is
work-in-progress as part of the effort to support Arm's SME in MLIR).
The change in:
UnrolledOuterProductGeneratoris a "bug fix" to make sure that the conversion pattern correctly
propagates scalability when creating
arith.extfoperations.(*) The conversion tested in this file unrolls along the reduction
dimension, which is not supported for scalable vectors.