MNN/source/core/Session.hpp

139 lines
3.9 KiB
C++

//
// Session.hpp
// MNN
//
// Created by MNN on 2018/07/30.
// Copyright © 2018, Alibaba Group Holding Limited
//
#ifndef Session_hpp
#define Session_hpp
#include <MNN/Tensor.hpp>
#include <map>
#include <memory>
#include <vector>
#include "Pipeline.hpp"
#include "Schedule.hpp"
#include "core/Backend.hpp"
#include "core/Macro.h"
#include "shape/SizeComputer.hpp"
namespace MNN {
struct Net;
/** infer unit. multiple sessions could share one net. */
class MNN_PUBLIC Session {
public:
Session(Schedule::ScheduleInfo&& info, Interpreter::SessionMode callBackMode, Interpreter::SessionMode inputMode,
RuntimeInfo&& runtime);
~Session();
public:
/**
* @brief infer.
* @return result code.
*/
ErrorCode run() const;
/**
* @brief infer with callbacks and sync option.
* @param enterCallback callback before each op.
* @param exitCallback callback after each op.
* @param sync wait until all ops done before return or not.
* @return result code.
*/
ErrorCode runWithCallBack(const TensorCallBackWithInfo& enterCallback, const TensorCallBackWithInfo& exitCallback,
bool sync = false) const;
bool getInfo(Interpreter::SessionInfoCode code, void* ptr) const;
void cloneExecution(const std::map<const Op*, std::shared_ptr<Execution>>& cache, int pipelineIndex);
const std::map<const Op*, std::shared_ptr<Execution>>& getExecution(int pipelineIndex);
public:
/**
* @brief resize tensors and buffers responding to input changes.
* @return result code.
*/
ErrorCode resize(bool isStatic = false);
/**
* @brief set if needs resize.
* @param flag needs resize or not.
*/
void setNeedResize(bool flag = true) {
mNeedResize = flag;
}
void setNeedMalloc(bool flag = true) {
mNeedMalloc = flag;
}
public:
/**
* @brief get backend that create the tensor.
* @param tensor given tensor.
* @return backend that create the tensor, NULL if the tensor is created by default backend (CPU backend).
*/
const Backend* getBackEnd(const Tensor* tensor) const;
/**
* @brief get input tensor for given op name.
* @param name given op name. if NULL, return first input tensor.
* @return input tensor if found, NULL otherwise.
*/
Tensor* getInput(const char* name) const;
/**
* @brief get output tensor for given op name.
* @param name given op name. if NULL, return first output tensor.
* @return output tensor if found, NULL otherwise.
*/
Tensor* getOutput(const char* name) const;
/**
* @brief get output tensors map.
* @return get output tensors map.
*/
const std::map<std::string, Tensor*>& getOutputAll() const;
const std::map<std::string, Tensor*>& getInputAll() const;
/**
* @brief check session is valid or not.
* @return session is valid or not.
*/
inline bool valid() const {
return mValid;
}
/**
* @brief update the session's const value to origin model's const blob.
* @return errorcode
*/
ErrorCode updateToModel(Net* net) const;
bool loadCache(const void* buffer, size_t size);
std::pair<const void*, size_t> getCache();
protected:
const std::vector<std::shared_ptr<Pipeline>>& getPipelines() const {
return this->mPipelines;
}
private:
void _clearCache();
void _setUpTensorInfo(const Schedule::ScheduleInfo& info);
private:
RuntimeInfo mRuntime;
std::vector<std::shared_ptr<Pipeline>> mPipelines;
std::vector<std::pair<int, std::shared_ptr<Tensor>>> mTensors;
std::map<std::string, Tensor*> mInputs;
std::map<std::string, Tensor*> mOutputs;
bool mNeedResize = true;
bool mValid = true;
bool mNeedMalloc = true;
Interpreter::SessionMode mCallBackMode;
};
} // namespace MNN
#endif /* Session_hpp */