diff --git a/paddle/fluid/operators/lrn_mkldnn_op.cc b/paddle/fluid/operators/lrn_mkldnn_op.cc
index 3bead16ce44c26b9d7a6f2a5c6b471612494d595..0a18882e8199c2a375a230a693b8b01d12aabfa0 100644
--- a/paddle/fluid/operators/lrn_mkldnn_op.cc
+++ b/paddle/fluid/operators/lrn_mkldnn_op.cc
@@ -36,6 +36,14 @@ std::shared_ptr<T> insert_to_context(const std::string& key,
 
   return p;
 }
+
+template <typename... Args>
+void run_primitive(Args&&... args) {
+  auto forward_op = mkldnn::lrn_forward{args...};
+
+  std::vector<mkldnn::primitive> pipeline = {forward_op};
+  mkldnn::stream(mkldnn::stream::kind::eager).submit(pipeline).wait();
+}
 }  // namespace
 
 template <typename T>
@@ -87,8 +95,6 @@ class LRNMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
     auto dst_memory = mkldnn::memory{{dst_md, mkldnn_engine},
                                      static_cast<void*>(output_data)};
 
-    std::unique_ptr<mkldnn::lrn_forward> forward_op = nullptr;
-
     if (!is_test) {
       const std::string key = ctx.op().Output("Out");
       const std::string key_src_memory = key + "@lrn_src_memory";
@@ -108,9 +114,7 @@ class LRNMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
           key_workspace_memory, dev_ctx,
           forward_pd->workspace_primitive_desc());
 
-      forward_op.reset(new mkldnn::lrn_forward{*forward_pd, *src_memory,
-                                               *workspace_memory, dst_memory});
-
+      run_primitive(*forward_pd, *src_memory, *workspace_memory, dst_memory);
     } else {
       auto forward_pd =
           mkldnn::lrn_forward::primitive_desc{forward_desc, mkldnn_engine};
@@ -119,12 +123,8 @@ class LRNMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
       auto workspace_memory =
           mkldnn::memory{forward_pd.workspace_primitive_desc()};
 
-      forward_op.reset(new mkldnn::lrn_forward{forward_pd, src_memory,
-                                               workspace_memory, dst_memory});
+      run_primitive(forward_pd, src_memory, workspace_memory, dst_memory);
     }
-
-    std::vector<mkldnn::primitive> pipeline = {*forward_op};
-    mkldnn::stream(mkldnn::stream::kind::eager).submit(pipeline).wait();
   }
 };
 
@@ -136,6 +136,9 @@ class LRNMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
                    "MKLDNN LRN must use float data.");
     PADDLE_ENFORCE(paddle::platform::is_cpu_place(ctx.GetPlace()),
                    "MKLDNN LRN must use CPUPlace.");
+    PADDLE_ENFORCE(
+        !ctx.Attr<bool>("is_test"),
+        "is_test attribute should be set to False in training phase.");
 
     auto x = ctx.Input<Tensor>("X");
 
diff --git a/paddle/fluid/operators/lrn_op.cc b/paddle/fluid/operators/lrn_op.cc
index 2b1947a187bbd17871107553127647032ac7d7f9..b36b5c3a339bd7e534bcc3eb7a2efef313cb2a5d 100644
--- a/paddle/fluid/operators/lrn_op.cc
+++ b/paddle/fluid/operators/lrn_op.cc
@@ -155,8 +155,8 @@ class LRNOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE_EQ(x_dim.size(), 4, "Input(X)'rank of LRNOp should be 4.");
 
     ctx->SetOutputDim("Out", x_dim);
-    ctx->SetOutputDim("MidOut", x_dim);
     ctx->ShareLoD("X", /*->*/ "Out");
+    ctx->SetOutputDim("MidOut", x_dim);
   }
 
   framework::OpKernelType GetExpectedKernelType(
diff --git a/python/paddle/fluid/tests/unittests/test_lrn_op.py b/python/paddle/fluid/tests/unittests/test_lrn_op.py
index 2268eafdbd08cd0d6a175d19cedd79b7b984289b..8fa480b9bce84d2936f23cce9e41e8e54014b074 100644
--- a/python/paddle/fluid/tests/unittests/test_lrn_op.py
+++ b/python/paddle/fluid/tests/unittests/test_lrn_op.py
@@ -97,5 +97,24 @@ class TestLRNMKLDNNOp(TestLRNOp):
         self.check_output(atol=0.002)
 
 
+class TestLRNMKLDNNOpWithIsTest(TestLRNMKLDNNOp):
+    def get_attrs(self):
+        attrs = TestLRNMKLDNNOp.get_attrs(self)
+        attrs['is_test'] = True
+        return attrs
+
+    def test_check_grad_normal(self):
+        def check_raise_is_test():
+            try:
+                self.check_grad(['X'], 'Out', max_relative_error=0.01)
+            except Exception as e:
+                t = \
+                "is_test attribute should be set to False in training phase."
+                if t in str(e):
+                    raise AttributeError
+
+        self.assertRaises(AttributeError, check_raise_is_test)
+
+
 if __name__ == "__main__":
     unittest.main()