diff --git a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
--- a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
@@ -59,10 +59,12 @@
       continue;
     }
 
+    // Clone all explicitly allocated output buffers.
     if (auto alloc = resultTensor.getDefiningOp<memref::AllocOp>()) {
-      resultBuffers.push_back(resultTensor);
+      resultBuffers.push_back(cloneMemref(loc, resultTensor, b));
       continue;
     }
+
     // Allocate buffers for statically-shaped results.
     if (memrefType.hasStaticShape()) {
       resultBuffers.push_back(b.create<memref::AllocOp>(loc, memrefType));
diff --git a/mlir/test/Dialect/Linalg/bufferize.mlir b/mlir/test/Dialect/Linalg/bufferize.mlir
--- a/mlir/test/Dialect/Linalg/bufferize.mlir
+++ b/mlir/test/Dialect/Linalg/bufferize.mlir
@@ -45,11 +45,13 @@
 // CHECK: #map = affine_map<(d0) -> (d0)>
 // CHECK-LABEL: func @init_tensor(
 // CHECK-SAME:      %[[IN:.*]]: tensor<?xf32>, %[[SIZE:.*]]: index)
-// CHECK:         %[[OUT_BUF:.*]] = memref.alloc(%[[SIZE]]) : memref<?xf32>
+// CHECK:         %[[OUT_BUF0:.*]] = memref.alloc(%[[SIZE]]) : memref<?xf32>
 // CHECK:         %[[MEMREF:.*]] = memref.buffer_cast %[[IN]] : memref<?xf32>
+// CHECK:         %[[OUT_BUF1:.*]] = memref.alloc(%[[SIZE]]) : memref<?xf32>
+// CHECK:         linalg.copy(%[[OUT_BUF0]], %[[OUT_BUF1]])
 // CHECK:         linalg.generic
 // CHECK-SAME:    ins(%[[MEMREF]] : memref<?xf32>)
-// CHECK-SAME:    outs(%[[OUT_BUF]] : memref<?xf32>) {
+// CHECK-SAME:    outs(%[[OUT_BUF1]] : memref<?xf32>) {
 func @init_tensor(%in : tensor<?xf32>, %size: index) -> tensor<?xf32> {
   %init = linalg.init_tensor [%size] : tensor<?xf32>
   %0 = linalg.generic {