[Mlir-commits] [mlir] 6397ea7 - [mlir][sparse] minor edit of map reinterpretation pass doc (#70513)

[llvmlistbot at llvm.org]

Author: Aart Bik
Date: 2023-10-27T15:16:45-07:00
New Revision: 6397ea77421979f47be27b769bceb6982f55894f

URL: https://github.com/llvm/llvm-project/commit/6397ea77421979f47be27b769bceb6982f55894f
DIFF: https://github.com/llvm/llvm-project/commit/6397ea77421979f47be27b769bceb6982f55894f.diff

LOG: [mlir][sparse] minor edit of map reinterpretation pass doc (#70513)

Fixed typo, 80-col

Added: 
    

Modified: 
    mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td

Removed: 
    


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diff  --git a/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td b/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td
index db9cc701d253c01..99dbd7ab3677e74 100644
--- a/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.td
@@ -14,12 +14,13 @@ include "mlir/Pass/PassBase.td"
 def SparseReinterpretMap : Pass<"sparse-reinterpret-map", "ModuleOp"> {
   let summary = "Reinterprets sparse tensor type mappings";
   let description = [{
-    A pass that reinterprets the mappings in all sparse tensor types in a way that
-    enables subsequent sparification. This involves expressing all `linalg.generic`
-    operations in terms of level coordinates (rather than the dimension coordinates
-    of the input tensors) to align the iteration space with the potentially remapped
-    level space as well as resolving cycles in the resulting iteration graphs with
-    explicit sparse tensor conversions where needed.
+    A pass that reinterprets the mappings in all sparse tensor types in a
+    way that enables subsequent sparsification. This involves expressing all
+    `linalg.generic` operations in terms of level coordinates (rather than
+    the dimension coordinates of the input tensors) to align the iteration
+    space with the potentially remapped level space as well as resolving cycles
+    in the resulting iteration graphs with explicit sparse tensor conversions
+    where needed.
   }];
   let constructor = "mlir::createSparseReinterpretMapPass()";
   let dependentDialects = [