From 1949856126df50c0ea4ee2f507d24613bd54824a Mon Sep 17 00:00:00 2001
From: Aart Bik <ajcbik@google.com>
Date: Thu, 2 May 2024 18:21:00 -0700
Subject: [PATCH] [mlir][sparse] add linalg elt-wise fusion to sparsifier
 pipeline (#90924)

yields better IR in general, and all end-to-end tests pass!
---
 .../Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
index e58503d508ce..ab4d90ec745d 100644
--- a/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
@@ -31,8 +31,9 @@
 
 void mlir::sparse_tensor::buildSparsifier(OpPassManager &pm,
                                           const SparsifierOptions &options) {
-  // Rewrite named linalg ops into generic ops.
+  // Rewrite named linalg ops into generic ops and apply fusion.
   pm.addNestedPass<func::FuncOp>(createLinalgGeneralizeNamedOpsPass());
+  pm.addNestedPass<func::FuncOp>(createLinalgElementwiseOpFusionPass());
 
   // Sparsification and bufferization mini-pipeline.
   pm.addPass(createSparsificationAndBufferizationPass(