diff --git a/paddle/phi/kernels/xpu/batch_norm_grad_kernel.cc b/paddle/phi/kernels/xpu/batch_norm_grad_kernel.cc
index ccb9f601ed33296d34fd2a1d35663058aa775d40..af9fefc0cea40e85dec77163d6cef3e139f9119b 100644
--- a/paddle/phi/kernels/xpu/batch_norm_grad_kernel.cc
+++ b/paddle/phi/kernels/xpu/batch_norm_grad_kernel.cc
@@ -183,13 +183,8 @@ void BatchNormGradKernel(const Context &dev_ctx,
                                C,
                                epsilon_data,
                                global_inv_std_data);
-      PADDLE_ENFORCE_EQ(r1,
-                        XPU_SUCCESS,
-                        phi::errors::External("XPU API(batch_norm_grad "
-                                              "CalculateInvVar function) "
-                                              "return wrong value[%d %s]",
-                                              r1,
-                                              XPUAPIErrorMsg[r1]));
+      PADDLE_ENFORCE_XDNN_SUCCESS(r1,
+                                  "batch_norm_grad CalculateInvVar function");
     }
 
     // Here is a trick, x is a const input,
@@ -209,13 +204,7 @@ void BatchNormGradKernel(const Context &dev_ctx,
                              C,
                              H * W,
                              x.data<T>());
-    PADDLE_ENFORCE_EQ(r2,
-                      XPU_SUCCESS,
-                      phi::errors::External("XPU API(batch_norm_grad "
-                                            "CalculateInvBNY function) "
-                                            "return wrong value[%d %s]",
-                                            r2,
-                                            XPUAPIErrorMsg[r2]));
+    PADDLE_ENFORCE_XDNN_SUCCESS(r2, "batch_norm_grad CalculateInvBNY function");
   }
 
   int r3;
@@ -263,12 +252,7 @@ void BatchNormGradKernel(const Context &dev_ctx,
                                  bias_grad_data,
                                  is_nchw);
   }
-  PADDLE_ENFORCE_EQ(r3,
-                    XPU_SUCCESS,
-                    phi::errors::External("XPU API(batch_norm_grad) return "
-                                          "wrong value[%d %s]",
-                                          r3,
-                                          XPUAPIErrorMsg[r3]));
+  PADDLE_ENFORCE_XDNN_SUCCESS(r3, "batch_norm_grad");
 }
 
 }  // namespace phi
diff --git a/paddle/phi/kernels/xpu/batch_norm_kernel.cc b/paddle/phi/kernels/xpu/batch_norm_kernel.cc
index d29e56a7d7a026c93652f43a17abcd8ddf9df172..67c4e898b7f04f5f50ea1d8ee1eec63c1005c58c 100644
--- a/paddle/phi/kernels/xpu/batch_norm_kernel.cc
+++ b/paddle/phi/kernels/xpu/batch_norm_kernel.cc
@@ -102,12 +102,7 @@ void BatchNormKernel(const Context& dev_ctx,
                                mean_out_data,
                                variance_out_data,
                                is_nchw);
-    PADDLE_ENFORCE_EQ(r,
-                      xpu::Error_t::SUCCESS,
-                      phi::errors::External(
-                          "The batch_norm XPU API return wrong value[%d %s]",
-                          r,
-                          XPUAPIErrorMsg[r]));
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "batch_norm");
   } else {
     const auto* mean_data = mean.data<float>();
     const auto* variance_data = variance.data<float>();
@@ -124,13 +119,7 @@ void BatchNormKernel(const Context& dev_ctx,
                                   mean_data,
                                   variance_data,
                                   is_nchw);
-    PADDLE_ENFORCE_EQ(
-        r,
-        xpu::Error_t::SUCCESS,
-        phi::errors::External(
-            "The batch_norm_infer XPU API return wrong value[%d %s]",
-            r,
-            XPUAPIErrorMsg[r]));
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "batch_norm_infer");
   }
 }