diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
@@ -28,9 +28,6 @@
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
 
-// Interop between linalg/sparse leaves some issues to be revolved:
-// UNSUPPORTED: asan
-
 #SM = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
 
 #trait_sampled_dense_dense = {
@@ -72,10 +69,7 @@
   func @sampled_dd(%args: tensor<8x8xf64, #SM>,
                    %arga: tensor<8x8xf64>,
                    %argb: tensor<8x8xf64>) -> tensor<8x8xf64> {
-    %d = arith.constant 0.0 : f64
-
-    %0 = linalg.init_tensor [8, 8] : tensor<8x8xf64>
-    %1 = linalg.fill(%d, %0) : f64, tensor<8x8xf64> -> tensor<8x8xf64>
+    %1 = arith.constant dense<0.0> : tensor<8x8xf64>
     %2 = linalg.generic #trait_sampled_dense_dense
       ins(%args, %arga, %argb: tensor<8x8xf64, #SM>,
                                tensor<8x8xf64>, tensor<8x8xf64>)
@@ -94,11 +88,8 @@
   //
   func @sampled_dd_unfused(%args: tensor<8x8xf64, #SM>,
                            %arga: tensor<8x8xf64>,
-                           %argb: tensor<8x8xf64>) -> tensor<8x8xf64> {
-    %d = arith.constant 0.0 : f64
-
-    %0 = linalg.init_tensor [8, 8] : tensor<8x8xf64>
-    %1 = linalg.fill(%d, %0) : f64, tensor<8x8xf64> -> tensor<8x8xf64>
+                           %argb: tensor<8x8xf64>) -> (tensor<8x8xf64>, tensor<8x8xf64>) {
+    %1 = arith.constant dense<0.0> : tensor<8x8xf64>
     %2 = linalg.generic #trait_matmul
       ins(%arga, %argb : tensor<8x8xf64>, tensor<8x8xf64>)
       outs(%1 : tensor<8x8xf64>) {
@@ -108,17 +99,16 @@
           linalg.yield %q : f64
     } -> tensor<8x8xf64>
 
-    %3 = linalg.init_tensor [8, 8] : tensor<8x8xf64>
-    %4 = linalg.fill(%d, %3) : f64, tensor<8x8xf64> -> tensor<8x8xf64>
-    %5 = linalg.generic #trait_scale
+    %3 = arith.constant dense<0.0> : tensor<8x8xf64>
+    %4 = linalg.generic #trait_scale
       ins(%2, %args : tensor<8x8xf64>, tensor<8x8xf64, #SM>)
-      outs(%4 : tensor<8x8xf64>) {
+      outs(%3 : tensor<8x8xf64>) {
         ^bb0(%t: f64, %s: f64, %x: f64):
           %r = arith.mulf %t, %s : f64
           linalg.yield %r : f64
     } -> tensor<8x8xf64>
 
-    return %5 : tensor<8x8xf64>
+    return %4, %2 : tensor<8x8xf64>, tensor<8x8xf64>
   }
 
   //
@@ -140,9 +130,9 @@
     %0 = call @sampled_dd(%s, %a, %b)
       : (tensor<8x8xf64, #SM>,
          tensor<8x8xf64>, tensor<8x8xf64>) -> tensor<8x8xf64>
-    %1 = call @sampled_dd_unfused(%s, %a, %b)
+    %1, %2 = call @sampled_dd_unfused(%s, %a, %b)
       : (tensor<8x8xf64, #SM>,
-         tensor<8x8xf64>, tensor<8x8xf64>) -> tensor<8x8xf64>
+         tensor<8x8xf64>, tensor<8x8xf64>) -> (tensor<8x8xf64>, tensor<8x8xf64>)
 
     // Verify the outputs.
     //
@@ -158,6 +148,7 @@
     //
     %m0 = bufferization.to_memref %0 : memref<8x8xf64>
     %m1 = bufferization.to_memref %1 : memref<8x8xf64>
+    %m2 = bufferization.to_memref %2 : memref<8x8xf64>
     %v0 = vector.transfer_read %m0[%c0, %c0], %d0
         : memref<8x8xf64>, vector<8x8xf64>
     %v1 = vector.transfer_read %m1[%c0, %c0], %d0
@@ -169,6 +160,7 @@
     sparse_tensor.release %s : tensor<8x8xf64, #SM>
     memref.dealloc %m0 : memref<8x8xf64>
     memref.dealloc %m1 : memref<8x8xf64>
+    memref.dealloc %m2 : memref<8x8xf64>
 
     return
   }