#include <optimizer.h>

Inheritance diagram for mxnet::cpp::AdaGradOptimizer:

Collaboration diagram for mxnet::cpp::AdaGradOptimizer:

Public Member Functions
	AdaGradOptimizer (unsigned begin_num_update=0)

std::string	GetType () const override
	get optimizer type More...

void	Update (int index, NDArray weight, NDArray grad) override
	Update a weight with gradient. More...

Public Member Functions inherited from mxnet::cpp::Optimizer
	Optimizer (unsigned begin_num_update)
	constructor More...

virtual	~Optimizer ()
	destructor More...

template<typename T >
Optimizer *	SetParam (const std::string &name, const T &value)
	set config parameters More...

Optimizer *	SetLRScheduler (std::unique_ptr< LRScheduler > lrScheduler)

std::string	Serialize () const
	Serialize the optimizer parameters to a string. More...

Additional Inherited Members
Protected Member Functions inherited from mxnet::cpp::Optimizer
const std::vector< const char * >	GetParamKeys_ () const

const std::vector< const char * >	GetParamValues_ () const

unsigned	UpdateCount_ (int index)

float	GetLR_ (int index)

float	GetWD_ (int index)

Static Protected Member Functions inherited from mxnet::cpp::Optimizer
static OpMap *&	op_map ()

Protected Attributes inherited from mxnet::cpp::Optimizer
std::map< std::string, std::string >	params_

std::map< int, unsigned >	count_

unsigned	begin_num_update_

unsigned	num_update_

std::unique_ptr< LRScheduler >	lrScheduler_ = nullptr

Constructor & Destructor Documentation

mxnet::cpp::AdaGradOptimizer::AdaGradOptimizer ( unsigned begin_num_update = 0 )

explicit

Member Function Documentation

std::string mxnet::cpp::AdaGradOptimizer::GetType ( ) const

overridevirtual

get optimizer type

void mxnet::cpp::AdaGradOptimizer::Update	(	int	index,
		NDArray	weight,
		NDArray	grad
	)

overridevirtual

Update a weight with gradient.

Parameters

index	the unique index for the weight.
weight	the weight to update.
grad	gradient for the weight.

The documentation for this class was generated from the following file: