[Mlir-commits] [mlir] 1e78c15 - [mlir][doc] rename MemRefDataFlowOpt -> AffineScalarReplacement

[Joshua Cao]

Author: Joshua Cao
Date: 2023-04-02T14:02:06-07:00
New Revision: 1e78c152d70a3af43f50db79465a66bed82e34eb

URL: https://github.com/llvm/llvm-project/commit/1e78c152d70a3af43f50db79465a66bed82e34eb
DIFF: https://github.com/llvm/llvm-project/commit/1e78c152d70a3af43f50db79465a66bed82e34eb.diff

LOG: [mlir][doc] rename MemRefDataFlowOpt -> AffineScalarReplacement

Renamed in https://reviews.llvm.org/D104190, but missed in docs

Added: 
    

Modified: 
    mlir/docs/Tutorials/Toy/Ch-5.md

Removed: 
    


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diff  --git a/mlir/docs/Tutorials/Toy/Ch-5.md b/mlir/docs/Tutorials/Toy/Ch-5.md
index b9b83b8e1b9b8..70ffa32fef453 100644
--- a/mlir/docs/Tutorials/Toy/Ch-5.md
+++ b/mlir/docs/Tutorials/Toy/Ch-5.md
@@ -297,8 +297,8 @@ func.func @main() {
 Our naive lowering is correct, but it leaves a lot to be desired with regards to
 efficiency. For example, the lowering of `toy.mul` has generated some redundant
 loads. Let's look at how adding a few existing optimizations to the pipeline can
-help clean this up. Adding the `LoopFusion` and `MemRefDataFlowOpt` passes to
-the pipeline gives the following result:
+help clean this up. Adding the `LoopFusion` and `AffineScalarReplacement` passes
+to the pipeline gives the following result:
 
 ```mlir
 func.func @main() {