#include <symbol.h>

Collaboration diagram for mxnet::cpp::Symbol:

Public Member Functions
	Symbol ()

	Symbol (SymbolHandle handle)
	construct a Symbol with SymbolHandle More...

	Symbol (const char *name)
	construct a variable Symbol More...

	Symbol (const std::string &name)
	construct a variable Symbol More...

Symbol	operator+ (const Symbol &rhs) const

Symbol	operator- (const Symbol &rhs) const

Symbol	operator* (const Symbol &rhs) const

Symbol	operator/ (const Symbol &rhs) const

Symbol	operator% (const Symbol &rhs) const

Symbol	operator+ (mx_float scalar) const

Symbol	operator- (mx_float scalar) const

Symbol	operator* (mx_float scalar) const

Symbol	operator/ (mx_float scalar) const

Symbol	operator% (mx_float scalar) const

Symbol	Copy () const

Symbol	operator[] (int index)

Symbol	operator[] (const std::string &index)

void	Save (const std::string &file_name) const
	save Symbol to a file More...

std::string	ToJSON () const
	save Symbol into a JSON string More...

Symbol	GetInternals () const
	save Symbol into a JSON string the symbol whose outputs are all the internals. More...

SymbolHandle	GetHandle () const

	Symbol (const std::string &operator_name, const std::string &name, std::vector< const char * > input_keys, std::vector< SymbolHandle > input_values, std::vector< const char * > config_keys, std::vector< const char * > config_values)
	construct an operator Symbol, with given input Symbol and config More...

void	InferShape (const std::map< std::string, std::vector< mx_uint > > &arg_shapes, std::vector< std::vector< mx_uint > > in_shape, std::vector< std::vector< mx_uint > > aux_shape, std::vector< std::vector< mx_uint > > *out_shape) const
	infer the shapes by providing shapes of known argument shapes. More...

std::vector< std::string >	ListArguments () const
	List the arguments names. More...

std::vector< std::string >	ListOutputs () const

std::vector< std::string >	ListAuxiliaryStates () const

std::string	GetName () const

void	InferExecutorArrays (const Context &context, std::vector< NDArray > arg_arrays, std::vector< NDArray > grad_arrays, std::vector< OpReqType > grad_reqs, std::vector< NDArray > aux_arrays, const std::map< std::string, NDArray > &args_map, const std::map< std::string, NDArray > &arg_grad_store=std::map< std::string, NDArray >(), const std::map< std::string, OpReqType > &grad_req_type=std::map< std::string, OpReqType >(), const std::map< std::string, NDArray > &aux_map=std::map< std::string, NDArray >()) const
	infer and construct all the arrays to bind to executor by providing some known arrays. More...

void	InferArgsMap (const Context &context, std::map< std::string, NDArray > *args_map, const std::map< std::string, NDArray > &known_args) const
	infer and construct all the input arguments arrays to bind to executor by providing some known arguments arrays. More...

Executor *	SimpleBind (const Context &context, const std::map< std::string, NDArray > &args_map, const std::map< std::string, NDArray > &arg_grad_store=std::map< std::string, NDArray >(), const std::map< std::string, OpReqType > &grad_req_type=std::map< std::string, OpReqType >(), const std::map< std::string, NDArray > &aux_map=std::map< std::string, NDArray >())
	Create an executor by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp. The input arrays in the given maps should have the same name with the input symbol. Only need some of the necessary arrays, and the other arrays can be infered automatically. More...

Executor *	Bind (const Context &context, const std::vector< NDArray > &arg_arrays, const std::vector< NDArray > &grad_arrays, const std::vector< OpReqType > &grad_reqs, const std::vector< NDArray > &aux_arrays, const std::map< std::string, Context > &group_to_ctx=std::map< std::string, Context >(), Executor *shared_exec=nullptr)
	Create an executor by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp. More...

Static Public Member Functions
static Symbol	Variable (const std::string &name="")
	construct a variable Symbol More...

static Symbol	Group (const std::vector< Symbol > &symbols)
	Create a symbol that groups symbols together. More...

static Symbol	Load (const std::string &file_name)
	load Symbol from a JSON file More...

static Symbol	LoadJSON (const std::string &json_str)
	load Symbol from a JSON string More...

Detailed Description

Symbol interface.

Constructor & Destructor Documentation

mxnet::cpp::Symbol::Symbol ( )

inline

mxnet::cpp::Symbol::Symbol ( SymbolHandle handle )

explicit

construct a Symbol with SymbolHandle

Parameters

handle the given SymbolHandle

mxnet::cpp::Symbol::Symbol ( const char * name )

explicit

construct a variable Symbol

Parameters

name	the name of the variable

mxnet::cpp::Symbol::Symbol ( const std::string & name )

explicit

construct a variable Symbol

Parameters

name	the name of the variable

mxnet::cpp::Symbol::Symbol	(	const std::string &	operator_name,
		const std::string &	name,
		std::vector< const char * >	input_keys,
		std::vector< SymbolHandle >	input_values,
		std::vector< const char * >	config_keys,
		std::vector< const char * >	config_values
	)

construct an operator Symbol, with given input Symbol and config

Parameters

name	the name of the Symbol
input_keys	the vector of keys of the input
input_values	the vector of the intput Symbols
config_keys	the vector of keys of the config
config_values	the vecotr of values of the config

Member Function Documentation

Executor* mxnet::cpp::Symbol::Bind	(	const Context &	context,
		const std::vector< NDArray > &	arg_arrays,
		const std::vector< NDArray > &	grad_arrays,
		const std::vector< OpReqType > &	grad_reqs,
		const std::vector< NDArray > &	aux_arrays,
		const std::map< std::string, Context > &	group_to_ctx = `std::map< std::string, Context >()`,
		Executor *	shared_exec = `nullptr`
	)

Create an executor by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp.

Parameters

context	the context of binding.
arg_arrays	the NDArray that stores the input arguments to the symbol.
grad_arrays	NDArray that is used to store the gradient output of the input arguments.
grad_reqs	requirment type of gradient saving. Can only be in {kNullOp, kAddTo, kWriteTo}.
aux_arrays	NDArray that is used as internal state in op
group_to_ctx	dict of string to mx.Context
shared_exec	Executor to share memory with. This is intended for runtime reshaping, variable length sequencesn etc. The returned executor shares state with shared_exec, and should not be used in parallel with it.

Returns: a new executor, which need to be free manually.

Symbol mxnet::cpp::Symbol::Copy ( ) const

SymbolHandle mxnet::cpp::Symbol::GetHandle ( ) const

inline

Returns: the SymbolHandle

Symbol mxnet::cpp::Symbol::GetInternals ( ) const

save Symbol into a JSON string the symbol whose outputs are all the internals.

std::string mxnet::cpp::Symbol::GetName ( ) const

Returns: get the name of the symbol

static Symbol mxnet::cpp::Symbol::Group ( const std::vector< Symbol > & symbols )

static

Create a symbol that groups symbols together.

Parameters

symbols List of symbols to be groupe

void mxnet::cpp::Symbol::InferArgsMap	(	const Context &	context,
		std::map< std::string, NDArray > *	args_map,
		const std::map< std::string, NDArray > &	known_args
	)		const

infer and construct all the input arguments arrays to bind to executor by providing some known arguments arrays.

Parameters

context	the context of all the infered arrays.
args_map	map of all the infered input arguments arrays.
known_args	map of some given arguments arrays.

void mxnet::cpp::Symbol::InferExecutorArrays	(	const Context &	context,
		std::vector< NDArray > *	arg_arrays,
		std::vector< NDArray > *	grad_arrays,
		std::vector< OpReqType > *	grad_reqs,
		std::vector< NDArray > *	aux_arrays,
		const std::map< std::string, NDArray > &	args_map,
		const std::map< std::string, NDArray > &	arg_grad_store = `std::map< std::string, NDArray >()`,
		const std::map< std::string, OpReqType > &	grad_req_type = `std::map< std::string, OpReqType >()`,
		const std::map< std::string, NDArray > &	aux_map = `std::map< std::string, NDArray >()`
	)		const

infer and construct all the arrays to bind to executor by providing some known arrays.

Parameters

context	the context of all the infered arrays
arg_arrays	infered input arguments arrays.
arad_arrays	infered arrays to store the gradient output of the input arguments.
aux_arrays	infered arrays that is used as internal state in op.
args_map	map of some given arguments arrays.
args_grad_store	map of some gradient given store arrays.
args_req_type	map of some given type of gradient saving. Can only be in {kNullOp, kAddTo, kWriteTo}.
aux_map	NDArray that stores the internal state in op

void mxnet::cpp::Symbol::InferShape	(	const std::map< std::string, std::vector< mx_uint > > &	arg_shapes,
		std::vector< std::vector< mx_uint > > *	in_shape,
		std::vector< std::vector< mx_uint > > *	aux_shape,
		std::vector< std::vector< mx_uint > > *	out_shape
	)		const

infer the shapes by providing shapes of known argument shapes.

Parameters

arg_shapes	map of argument name to shape of arguments with known shapes.
in_shapes	used to store infered shapes of input arguments.
out_shapes	used to store infered shapes of outputs.
aux_shapes	use to store the infered shapes of auxiliary states

std::vector<std::string> mxnet::cpp::Symbol::ListArguments ( ) const

List the arguments names.

The position of the returned list also corresponds to calling position in operator()

Returns: the arguments list of this symbol, they can be either named or unnamed (empty string).

std::vector<std::string> mxnet::cpp::Symbol::ListAuxiliaryStates ( ) const

Returns: get the descriptions of auxiliary data for this symbol

std::vector<std::string> mxnet::cpp::Symbol::ListOutputs ( ) const

Returns: get the descriptions of outputs for this symbol

static Symbol mxnet::cpp::Symbol::Load ( const std::string & file_name )

static

load Symbol from a JSON file

Parameters

file_name the name of the file

static Symbol mxnet::cpp::Symbol::LoadJSON ( const std::string & json_str )

static

load Symbol from a JSON string

Parameters

json_str the JSON string

Symbol mxnet::cpp::Symbol::operator% ( const Symbol & rhs ) const

Symbol mxnet::cpp::Symbol::operator% ( mx_float scalar ) const

Symbol mxnet::cpp::Symbol::operator* ( const Symbol & rhs ) const

Symbol mxnet::cpp::Symbol::operator* ( mx_float scalar ) const

Symbol mxnet::cpp::Symbol::operator+ ( const Symbol & rhs ) const

Symbol mxnet::cpp::Symbol::operator+ ( mx_float scalar ) const

Symbol mxnet::cpp::Symbol::operator- ( const Symbol & rhs ) const

Symbol mxnet::cpp::Symbol::operator- ( mx_float scalar ) const

Symbol mxnet::cpp::Symbol::operator/ ( const Symbol & rhs ) const

Symbol mxnet::cpp::Symbol::operator/ ( mx_float scalar ) const

Symbol mxnet::cpp::Symbol::operator[] ( int index )

Symbol mxnet::cpp::Symbol::operator[] ( const std::string & index )

void mxnet::cpp::Symbol::Save ( const std::string & file_name ) const

save Symbol to a file

Parameters

file_name the name of the file

Executor* mxnet::cpp::Symbol::SimpleBind	(	const Context &	context,
		const std::map< std::string, NDArray > &	args_map,
		const std::map< std::string, NDArray > &	arg_grad_store = `std::map< std::string, NDArray >()`,
		const std::map< std::string, OpReqType > &	grad_req_type = `std::map< std::string, OpReqType >()`,
		const std::map< std::string, NDArray > &	aux_map = `std::map< std::string, NDArray >()`
	)

Create an executor by bind symbol with context and arguments. If user do not want to compute the gradients of i-th argument, grad_req_type[i] can be kNullOp. The input arrays in the given maps should have the same name with the input symbol. Only need some of the necessary arrays, and the other arrays can be infered automatically.

Parameters

context	the context of binding.
args_map	the NDArray that stores the input arguments to the symbol.
arg_grad_store	NDArray that is used to store the gradient output of the input arguments.
grad_req_type	requirment type of gradient saving. Can only be in {kNullOp, kAddTo, kWriteTo}.
aux_map	NDArray that stores the internal state in op

Returns: a new executor, which need to be free manually.

std::string mxnet::cpp::Symbol::ToJSON ( ) const

save Symbol into a JSON string

static Symbol mxnet::cpp::Symbol::Variable ( const std::string & name = "" )

static

construct a variable Symbol

Parameters

name	the name of the variable

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

cpp-package/include/mxnet-cpp/symbol.h

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation