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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.
+ */
+
+#include "model/Operand.h"
+
+namespace neurun
+{
+namespace model
+{
+
+size_t Operand::operandSize(void) const
+{
+ const uint32_t ranks = shape().rank();
+ int32_t elements = 1;
+
+ for (uint32_t rank = 0; rank < ranks; rank++)
+ {
+ elements *= shape().dim(rank);
+ }
+
+ DataType type = typeInfo().type();
+ size_t element_size = sizeOfDataType(type);
+
+ // Value of type is matched with OperandCode enum in NeuralNetworks.h
+ return element_size * elements;
+}
+
+void Operand::appendUse(const ::neurun::model::OperationIndex &idx)
+{
+ assert(!_uses.contains(idx));
+
+ _uses.append(idx);
+}
+
+void Operand::removeUse(const ::neurun::model::OperationIndex &idx)
+{
+ assert(_uses.contains(idx));
+
+ _uses.remove(idx);
+}
+
+void Operand::appendDef(const ::neurun::model::OperationIndex &idx)
+{
+ assert(!isConstant());
+ assert(_def.size() == 0);
+
+ _def.append(idx);
+}
+
+void Operand::removeDef(const ::neurun::model::OperationIndex &idx)
+{
+ assert(_def.contains(idx));
+
+ _def.remove(idx);
+}
+
+void Operand::parent_info(std::unique_ptr<graph::operand::ParentInfo> &&parent_info)
+{
+ _parent_info = std::move(parent_info);
+}
+
+const graph::operand::ParentInfo *Operand::parent_info() const { return _parent_info.get(); }
+
+graph::operand::ParentInfo *Operand::parent_info() { return _parent_info.get(); }
+
+} // namespace model
+} // namespace neurun