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diff --git a/runtimes/libs/misc/include/misc/tensor/Shape.h b/runtimes/libs/misc/include/misc/tensor/Shape.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 Shape.h
+ * @ingroup COM_AI_RUNTIME
+ * @brief This file contains nnfw::misc::tensor::Shape class
+ */
+
+#ifndef __NNFW_MISC_TENSOR_SHAPE_H__
+#define __NNFW_MISC_TENSOR_SHAPE_H__
+
+#include <cstdint>
+#include <cstddef>
+#include <deque>
+#include <initializer_list>
+#include <ostream>
+#include <string>
+#include <cassert>
+
+namespace nnfw
+{
+namespace misc
+{
+namespace tensor
+{
+
+/**
+ * @brief Class to represent shape of a tensor
+ */
+class Shape
+{
+public:
+  /**
+   * @brief Construct a new Shape object
+   * @param[in] rank    Rank of a tensor
+   */
+  Shape(uint32_t rank) { _dimensions.resize(rank); }
+
+public:
+  /**
+   * @brief Construct a new Shape object
+   * @param[in] dimensions    @c initializer_list<int32_t> of dimensions of tensor
+   */
+  Shape(const std::initializer_list<int32_t> &dimensions) : _dimensions{dimensions}
+  {
+    // Check overflow because initializer_list type can be larger size than max of uint32_t
+    assert(dimensions.size() <= 0xFFFFFFFF);
+  }
+
+  /**
+   * @brief Construct a new Shape object
+   * @param[in] origin    @c Shape object to copy
+   */
+  Shape(const Shape &origin) = default;
+
+public:
+  /**
+   * @brief Add dimension to the beginning
+   * @param[in] d     dimension to add to the beginning
+   * @return N/A
+   */
+  void prepend(int32_t d) { _dimensions.emplace_front(d); }
+
+  /**
+   * @brief Add dimension to the back
+   * @param[in] d     dimension to add to the back
+   * @return N/A
+   */
+  void append(int32_t d) { _dimensions.emplace_back(d); }
+
+public:
+  /**
+   * @brief Get the rank of this shape
+   * @return rank
+   * @note   We can use static_cast\n
+   *         because we don't support larger than max of uint32_t on constructor
+   */
+  uint32_t rank(void) const { return static_cast<uint32_t>(_dimensions.size()); }
+
+public:
+  /**
+   * @brief Get specific dimension
+   * @param[in] n  Index of dimension
+   * @return n'th dimension
+   */
+  int32_t dim(uint32_t n) const { return _dimensions.at(n); }
+
+  /**
+   * @brief Get the reference of specific dimension
+   * @param[in] n  Index of dimension
+   * @return Reference of n'th dimension
+   */
+  int32_t &dim(uint32_t n) { return _dimensions.at(n); }
+
+  const std::deque<int32_t> &dims() const { return _dimensions; }
+
+public:
+  /**
+   * @brief Get the number of elements specified by this shape
+   * @return The number of elements
+   */
+  uint64_t num_elements() const;
+
+private:
+  std::deque<int32_t> _dimensions;
+
+public:
+  /**
+   * @brief Get a @c Shape object after parsing string
+   * @param[in] s  String of dimension list. Accepted format is numbers separated by comma.
+   * @return @c Shape object
+   */
+  static Shape from(const std::string &s);
+};
+
+/**
+ * @brief Check equality of two @c Shape
+ * @param[in] Shape First shape to compare
+ * @param[in] Shape Second shape to compare
+ * @return @c true if both shapes are equal, otherwise @c false
+ */
+bool operator==(const Shape &, const Shape &);
+
+/**
+ * @brief Send @c Shape to @c std::ostream
+ * @param[in] os        @c std::ostream to process this @c Shape
+ * @param[in] shape     @c Shape to send to @c ostream
+ * @return Reference of @c std::ostream
+ */
+std::ostream &operator<<(std::ostream &os, const Shape &shape);
+
+} // namespace tensor
+} // namespace misc
+} // namespace nnfw
+
+#endif // __NNFW_MISC_TENSOR_SHAPE_H__