mxnet::cpp Namespace Reference

Namespaces
	contrib
	details

Classes
class	Accuracy
class	AdaDeltaOptimizer
class	AdaGradOptimizer
class	AdamOptimizer
class	Bilinear
class	Constant
class	Context
	Context interface. More...
class	DataBatch
	Default object for holding a mini-batch of data and related information. More...
class	DataIter
class	EvalMetric
class	Executor
	Executor interface. More...
class	FactorScheduler
class	FeedForward
struct	FeedForwardConfig
class	Initializer
class	KVStore
class	LogLoss
class	LRScheduler
	lr scheduler interface More...
class	MAE
class	Monitor
	Monitor interface. More...
class	MSE
class	MSRAPrelu
class	MXDataIter
struct	MXDataIterBlob
class	MXDataIterMap
class	NDArray
	NDArray interface. More...
struct	NDBlob
	struct to store NDArrayHandle More...
class	Normal
class	One
class	Operator
	Operator interface. More...
class	OpMap
	OpMap instance holds a map of all the symbol creators so we can get symbol creators by name. This is used internally by Symbol and Operator. More...
class	Optimizer
	Optimizer interface. More...
class	OptimizerRegistry
class	PSNR
class	RMSE
class	RMSPropOptimizer
class	SGDOptimizer
struct	Shape
	dynamic shape class that can hold shape of arbirary dimension More...
class	SignumOptimizer
struct	SymBlob
	struct to store SymbolHandle More...
class	Symbol
	Symbol interface. More...
class	Uniform
class	Xavier
class	Zero

Typedefs
typedef unsigned	index_t
typedef std::function< Optimizer *()>	OptimizerCreator

Enumerations
enum	OpReqType { kNullOp, kWriteTo, kWriteInplace, kAddTo }
enum	DeviceType { kCPU = 1, kGPU = 2, kCPUPinned = 3 }

Functions
NDArray	_default_monitor_func (const NDArray &x)
	Default function for monitor that computes statistics of the input tensor, which is the mean absolute |x|/size(x) More...
std::ostream &	operator<< (std::ostream &out, const NDArray &ndarray)
Symbol	_Plus (Symbol lhs, Symbol rhs)
Symbol	_Mul (Symbol lhs, Symbol rhs)
Symbol	_Minus (Symbol lhs, Symbol rhs)
Symbol	_Div (Symbol lhs, Symbol rhs)
Symbol	_Mod (Symbol lhs, Symbol rhs)
Symbol	_Power (Symbol lhs, Symbol rhs)
Symbol	_Maximum (Symbol lhs, Symbol rhs)
Symbol	_Minimum (Symbol lhs, Symbol rhs)
Symbol	_PlusScalar (Symbol lhs, mx_float scalar)
Symbol	_MinusScalar (Symbol lhs, mx_float scalar)
Symbol	_RMinusScalar (mx_float scalar, Symbol rhs)
Symbol	_MulScalar (Symbol lhs, mx_float scalar)
Symbol	_DivScalar (Symbol lhs, mx_float scalar)
Symbol	_RDivScalar (mx_float scalar, Symbol rhs)
Symbol	_ModScalar (Symbol lhs, mx_float scalar)
Symbol	_RModScalar (mx_float scalar, Symbol rhs)
Symbol	_PowerScalar (Symbol lhs, mx_float scalar)
Symbol	_RPowerScalar (mx_float scalar, Symbol rhs)
Symbol	_MaximumScalar (Symbol lhs, mx_float scalar)
Symbol	_MinimumScalar (Symbol lhs, mx_float scalar)
Symbol	Crop (const std::string &symbol_name, int num_args, Symbol data, Symbol crop_like, Shape offset=Shape(0, 0), Shape h_w=Shape(0, 0), bool center_crop=false)
Symbol	Activation (const std::string &symbol_name, Symbol data, const std::string &act_type)
	Apply activation function to input. Softmax Activation is only available with CUDNN on GPUand will be computed at each location across channel if input is 4D. More...
std::ostream &	operator<< (std::ostream &os, const Shape &shape)
	allow string printing of the shape More...
std::istream &	operator>> (std::istream &is, Shape &shape)
	read shape from the istream More...
Symbol	operator+ (mx_float lhs, const Symbol &rhs)
Symbol	operator- (mx_float lhs, const Symbol &rhs)
Symbol	operator* (mx_float lhs, const Symbol &rhs)
Symbol	operator/ (mx_float lhs, const Symbol &rhs)
Symbol	operator% (mx_float lhs, const Symbol &rhs)

Typedef Documentation

index_t

typedef unsigned mxnet::cpp::index_t

OptimizerCreator

typedef std::function<Optimizer*()> mxnet::cpp::OptimizerCreator

Enumeration Type Documentation

DeviceType

enum mxnet::cpp::DeviceType

Enumerator
kCPU
kGPU
kCPUPinned

OpReqType

enum mxnet::cpp::OpReqType

Enumerator
kNullOp	no operation, do not write anything
kWriteTo	write gradient to provided space
kWriteInplace	perform an inplace write, Target shares memory with one of input arguments. This option only happen when
kAddTo	add to the provided space

Function Documentation

_default_monitor_func()

NDArray mxnet::cpp::_default_monitor_func

(

const NDArray &

x

)

Default function for monitor that computes statistics of the input tensor, which is the mean absolute |x|/size(x)

Parameters

x	The input tensor

Returns

The statistics of the input tensor

_Div()

Symbol mxnet::cpp::_Div ( Symbol  lhs, Symbol  rhs  )

inline

_DivScalar()

Symbol mxnet::cpp::_DivScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Maximum()

Symbol mxnet::cpp::_Maximum ( Symbol  lhs, Symbol  rhs  )

inline

_MaximumScalar()

Symbol mxnet::cpp::_MaximumScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Minimum()

Symbol mxnet::cpp::_Minimum ( Symbol  lhs, Symbol  rhs  )

inline

_MinimumScalar()

Symbol mxnet::cpp::_MinimumScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Minus()

Symbol mxnet::cpp::_Minus ( Symbol  lhs, Symbol  rhs  )

inline

_MinusScalar()

Symbol mxnet::cpp::_MinusScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Mod()

Symbol mxnet::cpp::_Mod ( Symbol  lhs, Symbol  rhs  )

inline

_ModScalar()

Symbol mxnet::cpp::_ModScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Mul()

Symbol mxnet::cpp::_Mul ( Symbol  lhs, Symbol  rhs  )

inline

_MulScalar()

Symbol mxnet::cpp::_MulScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Plus()

Symbol mxnet::cpp::_Plus ( Symbol  lhs, Symbol  rhs  )

inline

_PlusScalar()

Symbol mxnet::cpp::_PlusScalar ( Symbol  lhs, mx_float  scalar  )

inline

_Power()

Symbol mxnet::cpp::_Power ( Symbol  lhs, Symbol  rhs  )

inline

_PowerScalar()

Symbol mxnet::cpp::_PowerScalar ( Symbol  lhs, mx_float  scalar  )

inline

_RDivScalar()

Symbol mxnet::cpp::_RDivScalar ( mx_float  scalar, Symbol  rhs  )

inline

_RMinusScalar()

Symbol mxnet::cpp::_RMinusScalar ( mx_float  scalar, Symbol  rhs  )

inline

_RModScalar()

Symbol mxnet::cpp::_RModScalar ( mx_float  scalar, Symbol  rhs  )

inline

_RPowerScalar()

Symbol mxnet::cpp::_RPowerScalar ( mx_float  scalar, Symbol  rhs  )

inline

Activation()

Symbol mxnet::cpp::Activation ( const std::string &  symbol_name, Symbol  data, const std::string &  act_type  )

inline

Apply activation function to input. Softmax Activation is only available with CUDNN on GPUand will be computed at each location across channel if input is 4D.

Parameters

symbol_name	name of the resulting symbol.
data	Input data to activation function.
act_type	Activation function to be applied.

Returns

new symbol

Crop()

Symbol mxnet::cpp::Crop ( const std::string &  symbol_name, int  num_args, Symbol  data, Symbol  crop_like, Shape  offset = Shape(0, 0), Shape  h_w = Shape(0, 0), bool  center_crop = false  )

inline

operator%()

Symbol mxnet::cpp::operator%	(	mx_float	lhs,
		const Symbol &	rhs
	)

operator*()

Symbol mxnet::cpp::operator*	(	mx_float	lhs,
		const Symbol &	rhs
	)

operator+()

Symbol mxnet::cpp::operator+	(	mx_float	lhs,
		const Symbol &	rhs
	)

operator-()

Symbol mxnet::cpp::operator-	(	mx_float	lhs,
		const Symbol &	rhs
	)

operator/()

Symbol mxnet::cpp::operator/	(	mx_float	lhs,
		const Symbol &	rhs
	)

operator<<() [1/2]

std::ostream& mxnet::cpp::operator<< ( std::ostream &  os, const Shape &  shape  )

inline

allow string printing of the shape

Parameters

os	the output stream
shape	the shape

Returns

the ostream

operator<<() [2/2]

std::ostream& mxnet::cpp::operator<<	(	std::ostream &	out,
		const NDArray &	ndarray
	)

operator>>()

std::istream& mxnet::cpp::operator>> ( std::istream &  is, Shape &  shape  )

inline

read shape from the istream

Parameters

is	the input stream
shape	the shape

Returns

the istream