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| author | wren romano <2998727+wrengr@users.noreply.github.com> | 2023-05-17 13:09:53 -0700 |
|---|---|---|
| committer | wren romano <2998727+wrengr@users.noreply.github.com> | 2023-05-17 14:24:09 -0700 |
| commit | a0615d020a02e252196383439e2c8143c6525e05 (patch) | |
| tree | aa308ef0e4c62d7dba3450f0eb4f8f1dffc0f57c /mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir | |
| parent | 4dc205f016e3dd2eb1182886a77676f24e39e329 (diff) | |
| download | llvm-a0615d020a02e252196383439e2c8143c6525e05.tar.gz | |
[mlir][sparse] Renaming the STEA field `dimLevelType` to `lvlTypes`
This commit is part of the migration of towards the new STEA syntax/design. In particular, this commit includes the following changes:
* Renaming compiler-internal functions/methods:
* `SparseTensorEncodingAttr::{getDimLevelType => getLvlTypes}`
* `Merger::{getDimLevelType => getLvlType}` (for consistency)
* `sparse_tensor::{getDimLevelType => buildLevelType}` (to help reduce confusion vs actual getter methods)
* Renaming external facets to match:
* the STEA parser and printer
* the C and Python bindings
* PyTACO
However, the actual renaming of the `DimLevelType` itself (along with all the "dlt" names) will be handled in a separate commit.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D150330
Diffstat (limited to 'mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir')
| -rw-r--r-- | mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir index 6e7163494a23..eb4b50b1dd4c 100644 --- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir +++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir @@ -27,8 +27,8 @@ // Reduction in this file _are_ supported by the AArch64 SVE backend -#SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }> -#DV = #sparse_tensor.encoding<{ dimLevelType = [ "dense" ] }> +#SV = #sparse_tensor.encoding<{ lvlTypes = [ "compressed" ] }> +#DV = #sparse_tensor.encoding<{ lvlTypes = [ "dense" ] }> #trait_reduction = { indexing_maps = [ |