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authorCullen Rhodes <cullen.rhodes@arm.com>2024-07-04 08:57:02 +0100
committerGitHub <noreply@github.com>2024-07-04 08:57:02 +0100
commit67b302c52f79db2ab5c46e5e8c600f1c2af57a83 (patch)
tree2a6e90d72ae7533bcb072bbd13d12447f4fc054b /lldb/test/API/python_api/thread/TestThreadAPI.py
parent927def49728371d746476e79a6570cd93a4d335c (diff)
[mlir][vector] Add vector.step operation (#96776)
This patch adds a new vector.step operation to the Vector dialect. It produces a linear sequence of index values from 0 to N, where N is the number of elements in the result vector, and can be used to create vectors of indices. It supports both fixed-width and scalable vectors. For fixed the canonical representation is `arith.constant dense<[0, .., N]>`. A scalable step cannot be represented as a constant and is lowered to the `llvm.experimental.stepvector` intrinsic [1]. This op enables scalable vectorization of linalg.index ops, see #96778. It can also be used in the SparseVectorizer in-place of lower-level stepvector intrinsic, see [2] (patch to follow). [1] https://llvm.org/docs/LangRef.html#llvm-experimental-stepvector-intrinsic [2] https://github.com/llvm/llvm-project/blob/acf675b63f9426e61aac2155e29280f7d21f9421/mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp#L385-L388
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