#include <training-graph-compiler.h>

Collaboration diagram for TrainingGraphCompilerOptions:

Public Member Functions
	TrainingGraphCompilerOptions (BaseFloat transition_scale=1.0, BaseFloat self_loop_scale=1.0, bool b=true)

void	Register (OptionsItf *opts)

Public Attributes
BaseFloat	transition_scale

BaseFloat	self_loop_scale

bool	rm_eps

bool	reorder

Detailed Description

Definition at line 32 of file training-graph-compiler.h.

Constructor & Destructor Documentation

◆ TrainingGraphCompilerOptions()

TrainingGraphCompilerOptions	(	BaseFloat	transition_scale = `1.0`,
		BaseFloat	self_loop_scale = `1.0`,
		bool	b = `true`
	)

inlineexplicit

Definition at line 39 of file training-graph-compiler.h.

                                                        :
       transition_scale(transition_scale),
       self_loop_scale(self_loop_scale),
       rm_eps(false),
       reorder(b) { }

Member Function Documentation

◆ Register()

void Register ( OptionsItf * opts )

inline

Definition at line 47 of file training-graph-compiler.h.

References OptionsItf::Register().

Referenced by main().

                                   {
     opts->Register("transition-scale", &transition_scale, "Scale of transition "
                    "probabilities (excluding self-loops)");
     opts->Register("self-loop-scale", &self_loop_scale, "Scale of self-loop vs. "
                    "non-self-loop probability mass ");
     opts->Register("reorder", &reorder, "Reorder transition ids for greater decoding efficiency.");
     opts->Register("rm-eps", &rm_eps,  "Remove [most] epsilons before minimization (only applicable "
                    "if disambig symbols present)");
   }