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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_EXECUTOR_BASE_H__
#define __NEURUN_EXEC_EXECUTOR_BASE_H__
#include <mutex>
#include "Source.h"
#include "exec/ExecutionObservers.h"
#include "Sink.h"
#include "exec/IExecutor.h"
#include "model/Model.h"
#include "graph/LowerInfoMap.h"
#include "backend/IConfig.h"
#include "model/OperandInfo.h"
#include "backend/Backend.h"
#include "compiler/OperandContext.h"
#include "model/Subgraphs.h"
#include "model/Subgraph.h"
#include "backend/ExecTime.h"
#include "exec/IFunction.h"
#include "backend/ITensorManager.h"
#include <list>
namespace neurun
{
namespace exec
{
class ExecutorBase : public IExecutor
{
public:
ExecutorBase(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);
virtual ~ExecutorBase() = default;
const model::Model &model() override { return *_model; }
void execute(const IODescription &desc) final;
// Used only in Dataflow and Parallel Executors
void setIndexedRanks(std::shared_ptr<model::OperationIndexMap<int64_t>> ranks) final
{
_indexed_ranks = std::move(ranks);
};
virtual void executeImpl(void) = 0;
private:
std::unique_ptr<ISource> source(const model::IOIndex &index, const model::TypeInfo &type,
const void *buffer, size_t length);
std::unique_ptr<ISink> sink(const model::IOIndex &index, const model::TypeInfo &type,
void *buffer, size_t length);
template <typename T>
std::unique_ptr<ISource> source(const model::IOIndex &index, const void *buffer, size_t length)
{
const auto operand_index = _model->inputs.at(index);
const auto &operand = _model->operands.at(operand_index);
const auto tensor = _operand_context->at(operand_index)->ptr();
const auto output_layout = tensor->layout();
// TODO Set input_layout as frontend model's input layout
auto input_layout = model::Layout::NHWC;
if ((input_layout == model::Layout::NHWC) && (output_layout == model::Layout::NCHW))
{
return nnfw::cpp14::make_unique<PermutateSource<T>>(buffer, length, operand.shape());
}
// TODO Supports NCHW -> NHWC
return nnfw::cpp14::make_unique<CopySource<T>>(buffer, length, operand.shape());
}
template <typename T>
std::unique_ptr<ISink> sink(const model::IOIndex &index, void *buffer, size_t length)
{
const auto operand_index = _model->outputs.at(index);
const auto &operand = _model->operands.at(operand_index);
const auto tensor = _operand_context->at(operand_index)->ptr();
const auto input_layout = tensor->layout();
// TODO Set output_layout as frontend model's output layout
auto output_layout = model::Layout::NHWC;
if ((input_layout == model::Layout::NCHW) && (output_layout == model::Layout::NHWC))
{
return nnfw::cpp14::make_unique<PermutateSink<T>>(buffer, length, operand.shape());
}
// TODO Supports NHWC -> NCHW
return nnfw::cpp14::make_unique<CopySink<T>>(buffer, length, operand.shape());
}
protected:
std::list<std::unique_ptr<IExecutionObserver>> _observers;
std::shared_ptr<model::OperationIndexMap<int64_t>> _indexed_ranks;
std::shared_ptr<const model::Model> _model;
std::unique_ptr<model::Subgraphs> _subgraphs;
std::shared_ptr<compiler::OperandContext> _operand_context;
std::unique_ptr<graph::LowerInfoMap> _lower_info;
std::unique_ptr<backend::TensorManagerSet> _tensor_mgrs;
std::mutex _mutex;
};
} // namespace exec
} // namespace neurun
#endif // __NEURUN_EXEC_EXECUTOR_BASE_H__
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