[Mlir-commits] [mlir] [mlir][linalg] Elementwise fusion for any `LinalgOp` (PR #144922)

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``````````bash
git-clang-format --diff HEAD~1 HEAD --extensions h,cpp -- mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
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View the diff from clang-format here.
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diff --git a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
index 0b5e3d1b1..0291b762e 100644
--- a/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/ElementwiseOpFusion.cpp
@@ -109,8 +109,9 @@ static bool isOpOperandCanBeDroppedAfterFusedLinalgs(
 /// * There is a chance that the implementation of the transformation does not
 /// agree with the result of this method. This function gives a prediction based
 /// on an optimized fusion.
-llvm::SmallDenseSet<int> mlir::linalg::getPreservedProducerResults(
-    LinalgOp producer, LinalgOp consumer, OpOperand *fusedOperand) {
+llvm::SmallDenseSet<int>
+mlir::linalg::getPreservedProducerResults(LinalgOp producer, LinalgOp consumer,
+                                          OpOperand *fusedOperand) {
   llvm::SmallDenseSet<int> preservedProducerResults;
   llvm::SmallVector<OpOperand *> opOperandsToIgnore;
 
@@ -422,8 +423,7 @@ mlir::linalg::fuseElementwiseOps(RewriterBase &rewriter,
   // fusedOp.setIteratorTypesAttr(itTp);
   auto fusedOp = rewriter.create<GenericOp>(
       consumer.getLoc(), fusedResultTypes, fusedInputOperands,
-      fusedOutputOperands, fusedIndexMaps,
-      consumer.getIteratorTypesArray());
+      fusedOutputOperands, fusedIndexMaps, consumer.getIteratorTypesArray());
   if (!fusedOp.getShapesToLoopsMap()) {
     // Fused op has invalid indexing maps. Typically this means something is off
     // in the input, but going ahead here would result in verification errors.

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https://github.com/llvm/llvm-project/pull/144922