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diff --git a/compiler/moco/import/src/Nodes/Mean.cpp b/compiler/moco/import/src/Nodes/Mean.cpp
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+++ b/compiler/moco/import/src/Nodes/Mean.cpp
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "moco/Import/Nodes/Mean.h"
+
+#include <moco/IR/Nodes/TFMean.h>
+
+#include <loco.h>
+#include <stdex/Memory.h>
+#include <plier/tf/Convert.h>
+
+namespace
+{
+using namespace moco;
+
+/**
+ * @brief GraphUpdate for Mean node
+ */
+class MeanGraphUpdate final : public GraphUpdate
+{
+public:
+  MeanGraphUpdate(TFMean *node, const TensorName &&input_name,
+                  const TensorName &&reduction_indices_name)
+      : _node(node), _input_name(input_name), _reduction_indices_name(reduction_indices_name)
+  {
+    // DO NOTHING
+  }
+
+  void input(const SymbolTable *) const override;
+
+private:
+  TFMean *_node;
+  const TensorName _input_name;
+  const TensorName _reduction_indices_name;
+};
+
+void MeanGraphUpdate::input(const SymbolTable *table) const
+{
+  loco::Node *input_node = table->node(_input_name);
+  loco::Node *reduction_indices_node = table->node(_reduction_indices_name);
+  _node->input(input_node);
+  _node->reduction_indices(reduction_indices_node);
+}
+
+} // namespace
+
+namespace moco
+{
+
+bool MeanGraphBuilder::validate(const tensorflow::NodeDef &node) const
+{
+  if (node.input_size() != 2)
+    return false;
+
+  if (!plier::tf::has_attrs(node, {"T", "Tidx", "keep_dims"}))
+    return false;
+
+  auto dtype = plier::tf::get_datatype_attr(node, "Tidx");
+  if (dtype != tensorflow::DataType::DT_INT32 && dtype != tensorflow::DataType::DT_INT64)
+    return false;
+
+  return true;
+}
+
+void MeanGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
+{
+  assert(context != nullptr);
+
+  loco::Graph *graph = context->graph();
+  SymbolTable *tensor_names = context->tensor_names();
+  UpdateQueue *updates = context->updates();
+
+  // creating TF dialect Mean node
+  auto tf_mean = graph->nodes()->create<TFMean>();
+  tf_mean->name(node.name());
+  tf_mean->keep_dims(plier::tf::get_bool_attr(node, "keep_dims"));
+
+  TensorName output_name(node.name(), 0);
+  tensor_names->enroll(output_name, tf_mean);
+
+  auto update = stdex::make_unique<MeanGraphUpdate>(tf_mean, TensorName(node.input(0)),
+                                                    TensorName(node.input(1)));
+  updates->enroll(std::move(update));
+}
+
+} // namespace moco