[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

1 files changed, 6 insertions, 6 deletions

diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_foreach_slices.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_foreach_slices.mlir
index d51374b1fe3f..43b75f8aa2fe 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_foreach_slices.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_foreach_slices.mlir
@@ -11,30 +11,30 @@
 // TODO: support slices on lib path
 
 #CSR = #sparse_tensor.encoding<{
-  dimLevelType = [ "dense", "compressed" ]
+  lvlTypes = [ "dense", "compressed" ]
 }>
 
 #CSR_SLICE = #sparse_tensor.encoding<{
-  dimLevelType = [ "dense", "compressed" ],
+  lvlTypes = [ "dense", "compressed" ],
   slice = [ (1, 4, 1), (1, 4, 2) ]
 }>
 
 #CSR_SLICE_DYN = #sparse_tensor.encoding<{
-  dimLevelType = [ "dense", "compressed" ],
+  lvlTypes = [ "dense", "compressed" ],
   slice = [ (?, ?, ?), (?, ?, ?) ]
 }>
 
 #COO = #sparse_tensor.encoding<{
-  dimLevelType = [ "compressed-nu", "singleton" ]
+  lvlTypes = [ "compressed-nu", "singleton" ]
 }>
 
 #COO_SLICE = #sparse_tensor.encoding<{
-  dimLevelType = [ "compressed-nu", "singleton" ],
+  lvlTypes = [ "compressed-nu", "singleton" ],
   slice = [ (1, 4, 1), (1, 4, 2) ]
 }>
 
 #COO_SLICE_DYN = #sparse_tensor.encoding<{
-  dimLevelType = [ "compressed-nu", "singleton" ],
+  lvlTypes = [ "compressed-nu", "singleton" ],
   slice = [ (?, ?, ?), (?, ?, ?) ]
 }>