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diff --git a/runtime/neurun/core/src/exec/interp/Tensor.h b/runtime/neurun/core/src/exec/interp/Tensor.h
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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.
+ */
+
+/**
+ * @file  Tensor.h
+ * @brief This file contains ITensor interface, ROTensor class, and Tensor class
+ */
+#ifndef __NEURUN_EXEC_INTERP_TENSOR_H__
+#define __NEURUN_EXEC_INTERP_TENSOR_H__
+
+#include "Buffer.h"
+
+#include "ir/OperandInfo.h"
+#include "backend/operand/ITensor.h"
+#include "ir/Layout.h"
+
+namespace neurun
+{
+namespace exec
+{
+namespace interp
+{
+
+/**
+ * @brief Interface to handle Tensor in interpreter
+ */
+class ITensor : public backend::operand::ITensor
+{
+public:
+  virtual ~ITensor() = default;
+
+public:
+  virtual uint8_t *buffer() const = 0;
+  /**
+   * @brief   Return shared pointer for buffer
+   * @return  Buffer shared pointer
+   */
+  virtual std::shared_ptr<const Buffer> shareBuffer() const = 0;
+  /**
+   * @brief   Return read-only buffer pointer
+   * @return  Read-only buffer pointer
+   */
+  virtual const uint8_t *bufferRO() const = 0;
+  /**
+   * @brief   Return shared pointer for data
+   * @return  Data shared pointer
+   */
+  virtual std::shared_ptr<const ir::Data> shareData() const = 0;
+  /**
+   * @brief     Set internal/external buffer
+   * @param[in] buffer  Buffer pointer
+   */
+  virtual void setBuffer(std::shared_ptr<const Buffer> buffer) = 0;
+  /**
+   * @brief     Set data reference (including constant, input)
+   * @param[in] data  Data pointer
+   */
+  virtual void setData(std::shared_ptr<const ir::Data> data) = 0;
+  virtual void releaseData() = 0;
+
+  virtual size_t total_size() const = 0;
+  virtual size_t dimension(size_t index) const = 0;
+  virtual size_t num_dimensions() const = 0;
+  virtual size_t calcOffset(const util::Coordinates &coords) const = 0;
+
+  virtual bool has_padding() const = 0;
+  /**
+   * @brief   Return data type of tensor
+   * @return  Data type of tensor
+   */
+  virtual ir::DataType data_type() const = 0;
+  /**
+   * @brief   Return TensorInfo
+   * @return  TensorInfo
+   */
+  virtual const ir::OperandInfo &tensorInfo() const = 0;
+  /**
+   * @brief   Return number of elements
+   * @return  Number of elements
+   */
+  virtual uint64_t num_elements() const = 0;
+  void access(const std::function<void(backend::operand::ITensor &tensor)> &fn) final;
+};
+
+/**
+ * @brief Class to handle tensor in interpreter as read-only
+ */
+class ROTensor final : public ITensor
+{
+public:
+  ROTensor() = delete;
+  ROTensor(const ir::OperandInfo &info) : _info(info)
+  {
+    // DO NOTHING
+  }
+
+public:
+  uint8_t *buffer() const override { throw std::runtime_error{"Read only tensor"}; }
+  std::shared_ptr<const Buffer> shareBuffer() const override
+  {
+    throw std::runtime_error{"Read only tensor"};
+  }
+  const uint8_t *bufferRO() const override { return _data->base(); }
+  std::shared_ptr<const ir::Data> shareData() const override { return _data; }
+  void setBuffer(std::shared_ptr<const Buffer> buffer) override { _data = buffer; }
+  void setData(std::shared_ptr<const ir::Data> data) override { _data = data; }
+  void releaseData() override { _data = nullptr; }
+
+  size_t total_size() const override { return _info.total_size(); }
+  size_t dimension(size_t index) const override { return _info.shape().dim(index); }
+  size_t num_dimensions() const override { return _info.shape().rank(); }
+  size_t calcOffset(const util::Coordinates &coords) const override;
+  ir::Layout layout() const override;
+  bool has_padding() const override { return false; }
+  ir::DataType data_type() const override { return _info.typeInfo().type(); }
+  const ir::OperandInfo &tensorInfo() const override { return _info; }
+  uint64_t num_elements() const override { return _info.shape().num_elements(); };
+
+private:
+  const ir::OperandInfo _info;
+  std::shared_ptr<const ir::Data> _data{nullptr};
+};
+
+/**
+ * @brief Class to handle tensor in interpreter as writable
+ */
+class Tensor final : public ITensor
+{
+public:
+  Tensor() = delete;
+  Tensor(const ir::OperandInfo &info) : _info(info)
+  {
+    // DO NOTHING
+  }
+
+public:
+  uint8_t *buffer() const override { return _buffer->baseWritable(); }
+  std::shared_ptr<const Buffer> shareBuffer() const override { return _buffer; };
+  const uint8_t *bufferRO() const override { return _buffer->base(); }
+  std::shared_ptr<const ir::Data> shareData() const override { return _buffer; }
+  void setBuffer(std::shared_ptr<const Buffer> buffer) override { _buffer = buffer; }
+  void setData(std::shared_ptr<const ir::Data>) override
+  {
+    throw std::runtime_error{"Passed data may read-only"};
+  }
+  void releaseData() override { _buffer = nullptr; }
+
+  size_t total_size() const override { return _info.total_size(); }
+  size_t dimension(size_t index) const override { return _info.shape().dim(index); }
+  size_t num_dimensions() const override { return _info.shape().rank(); }
+  size_t calcOffset(const util::Coordinates &coords) const override;
+  ir::Layout layout() const override;
+  bool has_padding() const override { return false; }
+  ir::DataType data_type() const override { return _info.typeInfo().type(); }
+  const ir::OperandInfo &tensorInfo() const override { return _info; }
+  uint64_t num_elements() const override { return _info.shape().num_elements(); };
+
+private:
+  const ir::OperandInfo _info;
+  std::shared_ptr<const Buffer> _buffer{nullptr};
+};
+
+} // namespace interp
+} // namespace exec
+} // namespace neurun
+
+#endif // __NEURUN_EXEC_INTERP_TENSOR_H__