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author | wren romano <2998727+wrengr@users.noreply.github.com> | 2023-05-17 13:09:53 -0700 |
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committer | wren romano <2998727+wrengr@users.noreply.github.com> | 2023-05-17 14:24:09 -0700 |
commit | a0615d020a02e252196383439e2c8143c6525e05 (patch) | |
tree | aa308ef0e4c62d7dba3450f0eb4f8f1dffc0f57c /mlir/test/Dialect/SparseTensor/sparse_extract_slice.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/Dialect/SparseTensor/sparse_extract_slice.mlir')
-rw-r--r-- | mlir/test/Dialect/SparseTensor/sparse_extract_slice.mlir | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/mlir/test/Dialect/SparseTensor/sparse_extract_slice.mlir b/mlir/test/Dialect/SparseTensor/sparse_extract_slice.mlir index 745b0a8f376d..8cf8c6c89b63 100644 --- a/mlir/test/Dialect/SparseTensor/sparse_extract_slice.mlir +++ b/mlir/test/Dialect/SparseTensor/sparse_extract_slice.mlir @@ -1,11 +1,11 @@ // RUN: mlir-opt %s --sparse-tensor-codegen --cse | FileCheck %s #CSR = #sparse_tensor.encoding<{ - dimLevelType = [ "dense", "compressed" ] + lvlTypes = [ "dense", "compressed" ] }> #CSR_SLICE = #sparse_tensor.encoding<{ - dimLevelType = [ "dense", "compressed" ], + lvlTypes = [ "dense", "compressed" ], slice = [ (0, 4, 1), (0, 8, 1) ] }> @@ -13,7 +13,7 @@ // CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>, // CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>, // CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf64>, -// CHECK-SAME: %[[VAL_3:.*3]]: !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ] }>>) +// CHECK-SAME: %[[VAL_3:.*3]]: !sparse_tensor.storage_specifier<#sparse_tensor.encoding<{ lvlTypes = [ "dense", "compressed" ] }>>) // CHECK: %[[VAL_4:.*]] = sparse_tensor.storage_specifier.init with %[[VAL_3]] // CHECK: %[[VAL_5:.*]] = arith.constant 0 : index // CHECK: %[[VAL_6:.*]] = arith.constant 4 : index |