diff --git a/onnxruntime/core/optimizer/layer_norm_fusion.cc b/onnxruntime/core/optimizer/layer_norm_fusion.cc
index 15363bde8cf74..e57ada81f53e7 100644
--- a/onnxruntime/core/optimizer/layer_norm_fusion.cc
+++ b/onnxruntime/core/optimizer/layer_norm_fusion.cc
@@ -16,7 +16,7 @@ static std::vector<std::string> supported_data_types{"tensor(float16)", "tensor(
 static bool IsSupportedDataType(const Node& node) {
   for (const auto& input_arg : node.InputDefs()) {
     if (std::find(supported_data_types.begin(), supported_data_types.end(),
-      *(input_arg->Type())) == supported_data_types.end()) {
+                  *(input_arg->Type())) == supported_data_types.end()) {
       return false;
     }
   }
@@ -56,7 +56,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
     Node& reduce_mean_node = *p_reduce_mean;
     ORT_RETURN_IF_ERROR(Recurse(reduce_mean_node, modified, graph_level, logger));
 
-    if (!graph_utils::IsSupportedOptypeVersionAndDomain(reduce_mean_node, "ReduceMean", {1}) ||
+    if (!graph_utils::IsSupportedOptypeVersionAndDomain(reduce_mean_node, "ReduceMean", {1, 11}) ||
         !graph_utils::IsSupportedProvider(reduce_mean_node, GetCompatibleExecutionProviders()) ||
         (reduce_mean_node.GetOutputEdgesCount() != 1 && reduce_mean_node.GetOutputEdgesCount() != 2) ||
         !IsSupportedDataType(reduce_mean_node)) {
@@ -95,7 +95,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
       continue;
     }
     nodes_to_remove.push_back(sub_node);
-    
+
     // Find the "Div" node after "Sub".
     const Node* p_div = nullptr;
     p_div = graph_utils::FirstChildByType(sub_node, "Div");
@@ -110,7 +110,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
         continue;
       }
       nodes_to_remove.push_back(sub_node_dup);
-      // Find Div node after the duplicated sub node if it's not found after the first sub node. 
+      // Find Div node after the duplicated sub node if it's not found after the first sub node.
       if (p_div == nullptr) {
         p_div = graph_utils::FirstChildByType(sub_node_dup, "Div");
       }
@@ -138,7 +138,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
     if (!graph_utils::IsSupportedOptypeVersionAndDomain(sqrt_node, "Sqrt", {6}) ||
         sqrt_node.GetExecutionProviderType() != reduce_mean_node.GetExecutionProviderType() ||
         sqrt_node.GetOutputEdgesCount() != 1 ||
-        !IsSupportedDataType(sqrt_node) || 
+        !IsSupportedDataType(sqrt_node) ||
         sqrt_node.GetInputEdgesCount() == 0) {
       continue;
     }
@@ -162,10 +162,10 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
       continue;
     }
     Node& reduce_mean2_node = *graph.GetNode(p_reduce_mean2->Index());
-    if (!graph_utils::IsSupportedOptypeVersionAndDomain(reduce_mean2_node, "ReduceMean", {1}) ||
+    if (!graph_utils::IsSupportedOptypeVersionAndDomain(reduce_mean2_node, "ReduceMean", {1, 11}) ||
         reduce_mean2_node.GetExecutionProviderType() != reduce_mean_node.GetExecutionProviderType() ||
         reduce_mean2_node.GetOutputEdgesCount() != 1 ||
-        !IsSupportedDataType(reduce_mean2_node) || 
+        !IsSupportedDataType(reduce_mean2_node) ||
         reduce_mean2_node.GetInputEdgesCount() == 0) {
       continue;
     }
@@ -222,7 +222,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
     NodeArg* scale = nullptr;
     NodeArg* bias = nullptr;
     for (size_t i = 0; i < mul_node.MutableInputDefs().size(); i++) {
-      if (graph_utils::NodeArgIsConstant(graph, *(mul_node.MutableInputDefs()[i])) || 
+      if (graph_utils::NodeArgIsConstant(graph, *(mul_node.MutableInputDefs()[i])) ||
           graph_utils::IsGraphInput(graph, mul_node.MutableInputDefs()[i])) {
         // Scale must be 1d.
         if (mul_node.MutableInputDefs()[i]->Shape()->dim_size() == 1) {
@@ -244,7 +244,7 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
       continue;
     }
 
-    // Scale and bias must have the same dimension. 
+    // Scale and bias must have the same dimension.
     if (scale->Shape()->dim(0).dim_value() != bias->Shape()->dim(0).dim_value()) {
       continue;
     }
@@ -267,4 +267,4 @@ Status LayerNormFusion::ApplyImpl(Graph& graph, bool& modified, int graph_level,
   }
   return Status::OK();
 }
-}  // namespace onnxruntime
\ No newline at end of file
+}  // namespace onnxruntime