diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
@@ -23,7 +23,7 @@
     affine_map<(i,j) -> (i,j)>  // X (out)
   ],
   iterator_types = ["parallel", "parallel"],
-  doc = "X(i,j) = A(i,j)"
+  doc = "X(i,j) = A(i,j) * 2"
 }
 
 //
@@ -39,11 +39,12 @@
 // library.
 module {
   //
-  // A kernel that assigns elements from A to X.
+  // A kernel that assigns multiplied elements from A to X.
   //
   func.func @dense_output(%arga: tensor<?x?xf64, #SparseMatrix>) -> tensor<?x?xf64, #DenseMatrix> {
     %c0 = arith.constant 0 : index
     %c1 = arith.constant 1 : index
+    %c2 = arith.constant 2.0 : f64
     %d0 = tensor.dim %arga, %c0 : tensor<?x?xf64, #SparseMatrix>
     %d1 = tensor.dim %arga, %c1 : tensor<?x?xf64, #SparseMatrix>
     %init = bufferization.alloc_tensor(%d0, %d1) : tensor<?x?xf64, #DenseMatrix>
@@ -51,7 +52,8 @@
        ins(%arga: tensor<?x?xf64, #SparseMatrix>)
       outs(%init: tensor<?x?xf64, #DenseMatrix>) {
       ^bb(%a: f64, %x: f64):
-        linalg.yield %a : f64
+        %0 = arith.mulf %a, %c2 : f64
+        linalg.yield %0 : f64
     } -> tensor<?x?xf64, #DenseMatrix>
     return %0 : tensor<?x?xf64, #DenseMatrix>
   }
@@ -78,7 +80,7 @@
     //
     // Print the linearized 5x5 result for verification.
     //
-    // CHECK: ( 1, 0, 0, 1.4, 0, 0, 2, 0, 0, 2.5, 0, 0, 3, 0, 0, 4.1, 0, 0, 4, 0, 0, 5.2, 0, 0, 5 )
+    // CHECK: ( 2, 0, 0, 2.8, 0, 0, 4, 0, 0, 5, 0, 0, 6, 0, 0, 8.2, 0, 0, 8, 0, 0, 10.4, 0, 0, 10 )
     //
     %m = sparse_tensor.values %0
       : tensor<?x?xf64, #DenseMatrix> to memref<?xf64>