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diff --git a/runtimes/neurun/backend/srcn/operand/Tensor.h b/runtimes/neurun/backend/srcn/operand/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.
+ */
+
+#ifndef __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__
+#define __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__
+
+#include <backend/operand/ITensor.h>
+#include "model/OperandInfo.h"
+
+namespace neurun
+{
+namespace backend
+{
+namespace srcn
+{
+namespace operand
+{
+
+class Tensor : public ::neurun::backend::operand::ITensor
+{
+public:
+  Tensor() = delete;
+
+public:
+  Tensor(const model::OperandInfo &info) : _info(info)
+  {
+    // DO NOTHING
+  }
+
+public:
+  void setBuffer(uint8_t *buffer) { _buffer = buffer; }
+  ::neurun::model::DataType data_type() const { return _info.typeInfo().type(); }
+
+public:
+  uint8_t *buffer() const override { return _buffer; }
+  /**
+   * @brief Get dimension by index
+   *
+   * @param index Index to get diemension
+   * @return size_t Dimension at index
+   * @note N : dimension(0)
+   *       H : dimension(1)
+   *       W : dimension(2)
+   *       C : dimension(3)
+   */
+  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 total_size() const override { return _info.total_size(); }
+  size_t calcOffset(const neurun::util::Coordinates &coords) const override;
+  model::Layout layout() const override { return model::Layout::NHWC; }
+  bool has_padding() const override { return false; }
+
+private:
+  model::OperandInfo _info;
+  uint8_t *_buffer = nullptr;
+};
+
+} // namespace operand
+} // namespace srcn
+} // namespace backend
+} // namespace neurun
+
+#endif // __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__