diff --git a/tf_adapter_2.x/npu_device/core/npu_device.cpp b/tf_adapter_2.x/npu_device/core/npu_device.cpp
index f1d6f0f8e7dad5c623bb148175e9078f8eac7540..1849e34ddaaca2606467bf894a82bf41bcc1b547 100644
--- a/tf_adapter_2.x/npu_device/core/npu_device.cpp
+++ b/tf_adapter_2.x/npu_device/core/npu_device.cpp
@@ -808,7 +808,7 @@ void NpuDevice::RunGeGraphAsync(TFE_Context *context, uint64_t graph_id, int num
       if (err_msg.empty()) {
         err_msg = "<unknown error> code:" + std::to_string(s);
       }
-      done(tensorflow::errors::Internal("Graph engine process graph failed: ", err_msg));
+      done(tensorflow::errors::Internal("Graph engine process graph failed:\n", err_msg));
       return;
     } else if (ge_outputs.size() != static_cast<std::size_t>(num_outputs)) {
       done(tensorflow::errors::Internal("Graph engine process graph succeed but output num ", ge_outputs.size(),
diff --git a/tf_adapter_2.x/npu_device/core/npu_micros.h b/tf_adapter_2.x/npu_device/core/npu_micros.h
index cfeeb4ee06241189296b84df1d92f48809a685ce..933ef44a8c51a399b35660ede228f36eb2bc4d20 100644
--- a/tf_adapter_2.x/npu_device/core/npu_micros.h
+++ b/tf_adapter_2.x/npu_device/core/npu_micros.h
@@ -79,7 +79,7 @@
       if (err_msg.empty()) {                                            \
         err_msg = "<unknown error> code:" + std::to_string(_status);    \
       }                                                                 \
-      CTX->status = tensorflow::errors::Internal(PREFIX, ":", err_msg); \
+      CTX->status = tensorflow::errors::Internal(PREFIX, ":\n", err_msg); \
       LOG(ERROR) << CTX->status.ToString();                             \
       return;                                                           \
     }                                                                   \
@@ -93,7 +93,7 @@
       if (err_msg.empty()) {                                              \
         err_msg = "<unknown error> code:" + std::to_string(_status);      \
       }                                                                   \
-      (CTX)->status = tensorflow::errors::Internal(PREFIX, ":", err_msg); \
+      (CTX)->status = tensorflow::errors::Internal(PREFIX, ":\n", err_msg); \
       LOG(ERROR) << (CTX)->status.ToString();                             \
       return RET;                                                         \
     }                                                                     \