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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.
*/
#ifndef __NEURUN_EXEC_DATAFLOW_EXECUTOR_H__
#define __NEURUN_EXEC_DATAFLOW_EXECUTOR_H__
#include <list>
#include <map>
#include <unordered_map>
#include "FunctionSequence.h"
#include "Job.h"
#include "model/OperandIndexSequence.h"
#include "model/Index.h"
#include "model/Model.h"
#include "cpp14/memory.h"
#include "exec/ExecutorBase.h"
namespace neurun
{
namespace exec
{
class DataflowExecutor : public ExecutorBase
{
public:
using CodeMap = std::unordered_map<model::SubgraphIndex, std::unique_ptr<FunctionSequence>>;
protected:
virtual void notify(uint32_t finished_job_id);
bool noWaitingJobs();
public:
/**
* @brief Constructs a DataflowExecutor object
*
* @param model Model object
* @param operand_context (Only for input/output operand data access)
* @param lower_info LowerInfo object (Only to know input/output operands layout)
* @param code_map Compiled code map
* @param ranks Operation ranks for ordering execution
*/
DataflowExecutor(const std::shared_ptr<const model::Model> &model,
std::unique_ptr<model::Subgraphs> subgraphs,
const std::shared_ptr<compiler::OperandContext> &operand_context,
std::unique_ptr<graph::LowerInfoMap> lower_info,
std::unique_ptr<backend::TensorManagerSet> tensor_mgrs, CodeMap &&code_map);
void executeImpl() override;
void notifyJobEnd(uint32_t job_index);
void notifyJobBegin(uint32_t job_index);
void addObserver(std::unique_ptr<IExecutionObserver> ref)
{
_observers.emplace_back(std::move(ref));
};
void removeObserver(std::unique_ptr<IExecutionObserver> ref) { _observers.remove(ref); };
protected:
int64_t calculateRank(const std::vector<model::Element> &operations);
void emplaceToReadyJobs(const uint32_t &id);
protected:
CodeMap _code_map;
/**
* @brief A vector of finished jobs for current execution
* After a run it has all the jobs of this execution for the next run
*/
std::vector<std::unique_ptr<Job>> _finished_jobs;
/**
* @brief A vector of waiting jobs for current execution
* All the jobs are moved from #_finished_jobs to it when start a run
*/
std::vector<std::unique_ptr<Job>> _waiting_jobs;
/**
* @brief Jobs' output info
* Used for notifying after finishing a job
*/
std::vector<std::list<uint32_t>> _output_info;
std::vector<uint32_t> _initial_input_info;
std::vector<uint32_t> _input_info;
/**
* @brief A collection of jobs that are ready for execution
* Jobs in it are ready to be scheduled.
* Ordered by priority from `_indexed_ranks`
*/
std::multimap<int64_t, std::unique_ptr<Job>, std::greater<int64_t>> _ready_jobs;
/// @brief Which job runs which op and function.
std::unordered_map<uint32_t, model::SubgraphIndex> _job_to_subgraph;
};
} // namespace exec
} // namespace neurun
#endif // __NEURUN_EXEC_DATAFLOW_EXECUTOR_H__
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