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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_
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