diff --git a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
@@ -122,6 +122,8 @@
              combinerOp)
       .Case<arith::AddIOp, arith::AddFOp>(
           [&](auto op) { return CombiningKind::ADD; })
+      .Case<arith::SubIOp>([&](auto op) { return CombiningKind::ADD; })
+      .Case<arith::SubFOp>([&](auto op) { return CombiningKind::ADD; })
       .Case<arith::AndIOp>([&](auto op) { return CombiningKind::AND; })
       .Case<arith::MaxSIOp>([&](auto op) { return CombiningKind::MAXSI; })
       .Case<arith::MaxFOp>([&](auto op) { return CombiningKind::MAXF; })
diff --git a/mlir/test/Dialect/Linalg/transform-op-vectorize.mlir b/mlir/test/Dialect/Linalg/transform-op-vectorize.mlir
--- a/mlir/test/Dialect/Linalg/transform-op-vectorize.mlir
+++ b/mlir/test/Dialect/Linalg/transform-op-vectorize.mlir
@@ -153,3 +153,33 @@
     %2 = transform.structured.vectorize %0
   }
 }
+
+// -----
+
+// CHECK-LABEL: @vectorize_subred
+func.func @vectorize_subred(%arg0: tensor<32xf32>, %out: tensor<f32>) -> tensor<f32> {
+  // CHECK: %[[vA:.+]] = vector.transfer_read 
+  // CHECK: %[[vB:.+]] = vector.transfer_read 
+  // CHECK: %[[vC:.+]] = vector.extractelement
+  // CHECK: %[[vR:.+]] = vector.multi_reduction <add>, %[[vA]], %[[vC]]
+    %0 = linalg.generic {
+        indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> ()>],
+        iterator_types = ["reduction"]} 
+        ins(%arg0 : tensor<32xf32>)
+        outs(%out : tensor<f32>) {
+        ^bb0(%arg7: f32, %arg9: f32):
+            %1 = arith.subf %arg7, %arg9 : f32            
+            linalg.yield %1 : f32
+    } -> tensor<f32>
+    return %0 : tensor<f32>
+}
+
+transform.with_pdl_patterns {
+  ^bb0(%IN_MAT1: !pdl.operation):
+  transform.sequence %IN_MAT1 failures(propagate) {
+    ^bb1(%IN_MAT2: !pdl.operation):
+    %0 = transform.structured.match ops{["linalg.generic"]} in %IN_MAT2
+    %1 = get_closest_isolated_parent %0
+    transform.structured.vectorize %1
+  }
+}