apollo::planning::AutotuningMLPModel类 参考

#include <autotuning_mlp_net_model.h>

类 apollo::planning::AutotuningMLPModel 继承关系图:

apollo::planning::AutotuningMLPModel 的协作图:

Public 成员函数
	AutotuningMLPModel ()=default
virtual	~AutotuningMLPModel ()=default
void	Run (const std::vector< Eigen::MatrixXf > &inputs, Eigen::MatrixXf *output) const override
	Compute the model output from inputs according to a defined layers' flow
Public 成员函数 继承自 apollo::prediction::network::NetModel
	NetModel ()=default
	Constructor
virtual	~NetModel ()=default
	Destructor
virtual void	SetState (const std::vector< Eigen::MatrixXf > &states)
	Set the internal state of a network model
virtual void	State (std::vector< Eigen::MatrixXf > *states) const
	Access to the internal state of a network model
virtual void	ResetState () const
	Set the internal state of a model
bool	LoadModel (const NetParameter &net_parameter)
	Load network parameters from a protobuf message
std::string	PerformanceString () const
	Shows the performance information of a network
const std::string &	Name () const
	Name of a network model
int	Id () const
	Id of a network model
bool	IsOk () const
	Indicate the state of a network model

额外继承的成员函数
Protected 属性 继承自 apollo::prediction::network::NetModel
std::vector< std::unique_ptr< Layer > >	layers_
NetParameter	net_parameter_
bool	ok_ = false

详细描述

在文件 autotuning_mlp_net_model.h 第 27 行定义.

构造及析构函数说明

AutotuningMLPModel()

apollo::planning::AutotuningMLPModel::AutotuningMLPModel ( )

default

~AutotuningMLPModel()

virtual apollo::planning::AutotuningMLPModel::~AutotuningMLPModel ( )

virtualdefault

成员函数说明

Run()

void apollo::planning::AutotuningMLPModel::Run ( const std::vector< Eigen::MatrixXf > &  inputs, Eigen::MatrixXf *  output  ) const

overridevirtual

Compute the model output from inputs according to a defined layers' flow

参数

Inputs	to the network
Output	of the network will be returned

实现了 apollo::prediction::network::NetModel.

在文件 autotuning_mlp_net_model.cc 第 22 行定义.

                                                                {
  Eigen::MatrixXf inp = inputs[0];
  Eigen::MatrixXf temp;
  for (size_t i = 0; i < layers_.size(); ++i) {
    layers_[i]->Run({inp}, &temp);
    inp = temp;
  }
  *output = temp;
}

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该类的文档由以下文件生成:

• modules/planning/planning_base/learning_based/tuning/autotuning_mlp_net_model.h
• modules/planning/planning_base/learning_based/tuning/autotuning_mlp_net_model.cc