diff --git a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
--- a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
+++ b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
@@ -586,7 +586,7 @@
   return valueAttr();
 }
 
-#define ReduceFolder(OP)                                                       \
+#define REDUCE_FOLDER(OP)                                                      \
   OpFoldResult OP::fold(ArrayRef<Attribute> operands) {                        \
     ShapedType inputTy = input().getType().cast<ShapedType>();                 \
     if (!inputTy.hasRank())                                                    \
@@ -596,13 +596,13 @@
     return {};                                                                 \
   }
 
-ReduceFolder(ReduceAllOp);
-ReduceFolder(ReduceAnyOp);
-ReduceFolder(ReduceMaxOp);
-ReduceFolder(ReduceMinOp);
-ReduceFolder(ReduceProdOp);
-ReduceFolder(ReduceSumOp);
-#undef ReduceFolder
+REDUCE_FOLDER(ReduceAllOp)
+REDUCE_FOLDER(ReduceAnyOp)
+REDUCE_FOLDER(ReduceMaxOp)
+REDUCE_FOLDER(ReduceMinOp)
+REDUCE_FOLDER(ReduceProdOp)
+REDUCE_FOLDER(ReduceSumOp)
+#undef REDUCE_FOLDER
 
 OpFoldResult ReshapeOp::fold(ArrayRef<Attribute> operands) {
   auto inputTy = input1().getType().dyn_cast<RankedTensorType>();