1 files changed, 129 insertions, 0 deletions
diff --git a/runtime/onert/core/include/ir/OperandInfo.h b/runtime/onert/core/include/ir/OperandInfo.h
new file mode 100644
index 000000000..6d66f1e12
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+++ b/runtime/onert/core/include/ir/OperandInfo.h
@@ -0,0 +1,129 @@
+/*
+ * 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  OperandInfo.h
+ * @brief This file contains OperandInfo class
+ */
+#ifndef __ONERT_IR_OPERAND_INFO_H__
+#define __ONERT_IR_OPERAND_INFO_H__
+
+#include "ir/Shape.h"
+#include "ir/TypeInfo.h"
+#include "ir/Layout.h"
+
+namespace onert
+{
+namespace ir
+{
+
+/**
+ * @brief enum class indicating when the memory for a tensor is allocated
+ */
+enum class MemAllocType
+{
+  /**
+   * @brief At compile time, shape for a tensor is known, thus requried memory capacity can be
+   *        calculated
+   */
+  STATIC,
+
+  /**
+   * @brief At kernel execution time, shape for a tensor is known, thus requried memory capacity
+   *        can be calculated
+   */
+  DYNAMIC
+};
+
+/**
+ * @brief Class to save tensor's shape and type
+ */
+class OperandInfo
+{
+public:
+  /**
+   * @brief Construct a new OperandInfo object (deleted)
+   */
+  OperandInfo() = delete;
+  /**
+   * @brief     Construct a new OperandInfo object
+   * @param[in] shape     Tensor shape
+   * @param[in] typeInfo  Tensor data type
+   *
+   * @todo Deprecated this constructor because setting member var implicitly can cause bug later.
+   *       Please use the third constructor. (This constor needs for now not to break previous code)
+   */
+  OperandInfo(const Shape &shape, const TypeInfo &typeInfo)
+      : _shape(shape), _typeInfo(typeInfo), _alloc_type(MemAllocType::STATIC)
+  {
+    // DO NOTHING
+  }
+  /**
+   * @brief     Construct a new OperandInfo object
+   * @param[in] shape     Tensor shape
+   * @param[in] typeInfo  Tensor data type
+   * @param[in] alloc_type  When the thesor needs memory allocation
+   */
+  OperandInfo(const Shape &shape, const TypeInfo &typeInfo, MemAllocType alloc_type)
+      : _shape(shape), _typeInfo(typeInfo), _alloc_type(alloc_type)
+  {
+    // DO NOTHING
+  }
+  /**
+   * @brief     Construct a new OperandInfo object
+   * @param[in] origin info for copy
+   */
+  OperandInfo(const OperandInfo &origin) = default;
+
+public:
+  /**
+   * @brief   Return tensor shape
+   * @return  Tensor shape
+   */
+  const Shape &shape() const { return _shape; }
+  /**
+   * @brief set shape
+   */
+  void shape(const ir::Shape &new_shape) { _shape = new_shape; }
+  /**
+   * @brief   Return tensor data type info
+   * @return  Tensor data type
+   */
+  const TypeInfo &typeInfo() const { return _typeInfo; }
+  /**
+   * @brief   Set tensor data type
+   */
+  void type(const DataType type) { _typeInfo.type(type); }
+  /**
+   * @brief   Return size of tensor (bytes)
+   * @return  Tensor size
+   */
+  size_t total_size() const { return _shape.num_elements() * sizeOfDataType(_typeInfo.type()); }
+
+  MemAllocType memAllocType() const { return _alloc_type; }
+  void memAllocType(MemAllocType alloc_type) { _alloc_type = alloc_type; }
+
+private:
+  Shape _shape;
+  TypeInfo _typeInfo;
+
+  MemAllocType _alloc_type;
+};
+
+} // namespace ir
+} // namespace onert
+
+#endif // __ONERT_IR_OPERAND_INFO_H__