refine error message

Author: tianleiwu

onnxruntime/core/providers/cpu/nn/layer_norm_helper.h

@@ -1,18 +1,18 @@
 // Copyright (c) Microsoft Corporation. All rights reserved.
-// Copyright (c) 2023 NVIDIA Corporation.
 // Licensed under the MIT License.
 
 #pragma once
+
 #include "core/framework/tensor_shape.h"
 #include "core/common/status.h"
 
 namespace onnxruntime {
 
 constexpr const char* kLayerNormInputShapeMismatchError =
-    "Size of scale and bias (if provided) must match X.shape()[axis:], "
-    "or scale and bias shape are same and can be broadcasted to X when axis is 2. ";
+    "Size of scale and bias (if provided) must match X.shape[axis:], "
+    "or scale and bias (with same shape) can be broadcasted to X when axis is 2.";
 
-constexpr const char* kLayerNormInvalidSize = "Size of X.shape()[axis:] must be larger than 1, got ";
+constexpr const char* kLayerNormInvalidSize = "Size of X.shape[axis:] must be larger than 1, got ";
 
 class LayerNormHelper {
  public:
@@ -26,7 +26,10 @@ class LayerNormHelper {
     if (broadcast_param == 0) {
       return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT,
                              kLayerNormInputShapeMismatchError,
-                             "Shapes X=", x_shape, " scale=", scale_shape, " bias=", bias_shape, " and axis=", axis);
+                             " X.shape=", x_shape,
+                             " scale.shape=", scale_shape,
+                             " bias.shape=", bias_shape,
+                             " and axis=", axis);
     }
 
     return Status::OK();