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diff --git a/runtime/contrib/pure_arm_compute/src/internal/op/Rnn.h b/runtime/contrib/pure_arm_compute/src/internal/op/Rnn.h
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+/*
+ * Copyright (c) 2018 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.
+ */
+
+/**
+ * @file Rnn.h
+ * @ingroup COM_AI_RUNTIME
+ * @brief This file defines RNN node
+ */
+
+#ifndef __INTERNAL_OP_RNN_H__
+#define __INTERNAL_OP_RNN_H__
+
+#include "internal/op/Node.h"
+
+#include <cstdint>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace RNN
+{
+
+/**
+ * @brief Struct to manipulate parameter for RNN operation
+ */
+struct Param
+{
+  int32_t output_index;           //!< index for ouuput
+  int32_t hidden_state_out_index; //!< index for hidden state output
+
+  int32_t input_index;             //!< index for input
+  int32_t weights_index;           //!< index for weight
+  int32_t recurrent_weights_index; //!< index for recurrent weights
+  int32_t bias_index;              //!< index for bias
+  int32_t hidden_state_in_index;   //!< index for hidden state input
+  int32_t fused_activation_index;  //!< index for fused activation
+
+  /**
+   * @brief Default Constructor
+   */
+  Param() = default;
+  /**
+   * @brief Construct a new Param object
+   * @param[in] inputCount the number of inputs
+   * @param[in] inputs pointer for input data
+   * @param[in] outputCount the number of outputs
+   * @param[in] outputs pointer for input data
+   */
+  Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, const uint32_t *outputs);
+};
+
+/**
+ * @brief Class to define RNN Operation
+ */
+class Node final : public op::Node
+{
+public:
+  /**
+   * @brief Construct a new RNN Node object
+   * @param param Parameter for RNN Node
+   */
+  Node(const Param &param) : _param(param)
+  {
+    // DO NOTHING
+  }
+
+public:
+  /**
+   * @brief Default Destructor
+   */
+  virtual ~Node() = default;
+
+public:
+  /**
+   * @brief Get parameter
+   * @return Param reference
+   */
+  const Param &param(void) const { return _param; }
+
+public:
+  /**
+   * @brief Accept a NodeVisitor so that it can visit this node
+   * @param [in] v Visitor
+   * @return N/A
+   */
+  void accept(NodeVisitor &&) const override;
+
+private:
+  const Param _param; //!< parameter for RNN node
+};
+
+} // namespace RNN
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+#endif // __INTERNAL_OP_RNN_H__