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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 LinearExecutor.h
+ * @brief This file contains LinearExecutor class to define and run execution phase
+ */
+
+#ifndef __NEURUN_EXEC_EXECUTOR_H_
+#define __NEURUN_EXEC_EXECUTOR_H_
+
+#include "ExecutorBase.h"
+#include "compiler/Linear.h"
+#include "exec/FunctionSequence.h"
+#include "compiler/CodeWithInfo.h"
+
+namespace neurun
+{
+namespace exec
+{
+
+/**
+ * @brief Class to handle execution phase. Simple run the sequence of operations that is sorted in
+ * topological order
+ */
+class LinearExecutor final : public ExecutorBase
+{
+public:
+ /**
+ * @brief Construct a new LinearExecutor object
+ * @param[in] plan Execution plan generated by compiled result
+ */
+ LinearExecutor(const ir::Graph &graph,
+ const std::shared_ptr<compiler::OperandContext> &operand_context,
+ std::unique_ptr<backend::TensorManagerSet> tensor_mgrs,
+ std::vector<compiler::CodeWithInfo> &&code)
+ : ExecutorBase{graph, operand_context, std::move(tensor_mgrs)}, _code{std::move(code)}
+ {
+ }
+
+public:
+ void executeImpl(void) override;
+
+private:
+ std::vector<compiler::CodeWithInfo> _code;
+};
+
+} // namespace exec
+} // namespace neurun
+
+#endif // __NEURUN_EXEC_EXECUTOR_H_