PLearn 0.1
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#include <SoftSlopeIntegralVariable.h>
Public Member Functions | |
SoftSlopeIntegralVariable () | |
Default constructor for persistence. | |
SoftSlopeIntegralVariable (Variable *smoothness, Variable *left, Variable *right, real a_=0, real b_=1, bool tabulated=true) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual SoftSlopeIntegralVariable * | deepCopy (CopiesMap &copies) const |
virtual void | recomputeSize (int &l, int &w) const |
Recomputes the length l and width w that this variable should have, according to its parent variables. | |
virtual void | fprop () |
compute output given input | |
virtual void | bprop () |
virtual void | symbolicBprop () |
compute a piece of new Var graph that represents the symbolic derivative of this Var | |
Static Public Member Functions | |
static string | _classname_ () |
SoftSlopeIntegralVariable. | |
static OptionList & | _getOptionList_ () |
static RemoteMethodMap & | _getRemoteMethodMap_ () |
static Object * | _new_instance_for_typemap_ () |
static bool | _isa_ (const Object *o) |
static void | _static_initialize_ () |
static const PPath & | declaringFile () |
static void | declareOptions (OptionList &ol) |
Default constructor for persistence. | |
Public Attributes | |
real | a |
real | b |
bool | tabulated |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Private Types | |
typedef NaryVariable | inherited |
Definition at line 55 of file SoftSlopeIntegralVariable.h.
typedef NaryVariable PLearn::SoftSlopeIntegralVariable::inherited [private] |
Reimplemented from PLearn::NaryVariable.
Definition at line 57 of file SoftSlopeIntegralVariable.h.
PLearn::SoftSlopeIntegralVariable::SoftSlopeIntegralVariable | ( | ) |
Default constructor for persistence.
Definition at line 57 of file SoftSlopeIntegralVariable.cc.
PLearn::SoftSlopeIntegralVariable::SoftSlopeIntegralVariable | ( | Variable * | smoothness, |
Variable * | left, | ||
Variable * | right, | ||
real | a_ = 0 , |
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real | b_ = 1 , |
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bool | tabulated = true |
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) |
Definition at line 61 of file SoftSlopeIntegralVariable.cc.
string PLearn::SoftSlopeIntegralVariable::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
OptionList & PLearn::SoftSlopeIntegralVariable::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
RemoteMethodMap & PLearn::SoftSlopeIntegralVariable::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
Object * PLearn::SoftSlopeIntegralVariable::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
StaticInitializer SoftSlopeIntegralVariable::_static_initializer_ & PLearn::SoftSlopeIntegralVariable::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
void PLearn::SoftSlopeIntegralVariable::bprop | ( | ) | [virtual] |
Implements PLearn::Variable.
Definition at line 125 of file SoftSlopeIntegralVariable.cc.
References a, b, PLearn::fast_exact_is_equal(), PLearn::Variable::gradientdata, i, PLearn::left(), n, PLearn::VarArray::nelems(), PLearn::Variable::nelems(), PLearn::right(), PLearn::softplus(), tabulated, PLearn::tabulated_softplus(), PLearn::Variable::valuedata, and PLearn::NaryVariable::varray.
{ int n=nelems(); int n1=varray[0]->nelems(); int n2=varray[1]->nelems(); int n3=varray[2]->nelems(); int m1= n1==1?0:1; int m2= n2==1?0:1; int m3= n3==1?0:1; real* smoothness = varray[0]->valuedata; real* left = varray[1]->valuedata; real* right = varray[2]->valuedata; real* dsmoothness = varray[0]->gradientdata; real* dleft = varray[1]->gradientdata; real* dright = varray[2]->gradientdata; for(int i=0; i<n; i++,smoothness+=m1,left+=m2,right+=m3,dsmoothness+=m1,dleft+=m2,dright+=m3) { if (fast_exact_is_equal(*smoothness, 0)) continue; // soft_slope_integral = // (b - a) + (softplus_primitive(-smoothness*(b-right)) - softplus_primitive(-smoothness*(b-left)) // -softplus_primitive(-smoothness*(a-right)) + softplus_primitive(-smoothness*(a-left)))/ // (smoothness*smoothness*(right-left)); // hence // // d/dsmoothness = (softplus(-smoothness*(b-right))*(right-b) + softplus(-smoothness*(b-left))*(b-left) // + softplus(-smoothness*(a-right))*(a-right) + softplus(-smoothness*(a-left))*(left-a))/ // (smoothness*smoothness*(right-left)) // - 2 * (soft_slope_integral - b + a) / smoothness //n // d/dleft = (-softplus(-smoothness*(b-left)) + softplus(-smoothness*(a-left)))/ // (smoothness*(right-left)) // + (soft_slope_integral - b + a)/ (right-left) // // d/dright = (softplus(-smoothness*(b-right)) - softplus(-smoothness*(a-right)))/(smoothness*(right-left)) // - (soft_slope_integral - b + a)/ (right-left) // real inv_smoothness = 1.0 / *smoothness; real br = (b-*right); real bl = (b-*left); real ar = (a-*right); real al = (a-*left); real t1 = tabulated?tabulated_softplus(- *smoothness*br):softplus(- *smoothness*br); real t2 = tabulated?tabulated_softplus(- *smoothness*bl):softplus(- *smoothness*bl); real t3 = tabulated?tabulated_softplus(- *smoothness*ar):softplus(- *smoothness*ar); real t4 = tabulated?tabulated_softplus(- *smoothness*al):softplus(- *smoothness*al); real inv_delta=1.0/(*right-*left); real ssiab = valuedata[i]-b+a; *dsmoothness += gradientdata[i] * ((-t1*br + t2*bl + t3*ar - t4*al)*inv_smoothness*inv_delta - 2*ssiab)*inv_smoothness; *dleft += gradientdata[i] * ((-t2 + t4)*inv_smoothness + ssiab) * inv_delta; *dright += gradientdata[i] * ((t1 - t3)*inv_smoothness - ssiab) * inv_delta; } }
string PLearn::SoftSlopeIntegralVariable::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
void PLearn::SoftSlopeIntegralVariable::declareOptions | ( | OptionList & | ol | ) | [static] |
Default constructor for persistence.
Reimplemented from PLearn::NaryVariable.
Definition at line 69 of file SoftSlopeIntegralVariable.cc.
References a, b, PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::NaryVariable::declareOptions(), and tabulated.
{ declareOption(ol, "a", &SoftSlopeIntegralVariable::a, OptionBase::buildoption, ""); declareOption(ol, "b", &SoftSlopeIntegralVariable::b, OptionBase::buildoption, ""); declareOption(ol, "tabulated", &SoftSlopeIntegralVariable::tabulated, OptionBase::buildoption, ""); inherited::declareOptions(ol); }
static const PPath& PLearn::SoftSlopeIntegralVariable::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::NaryVariable.
Definition at line 69 of file SoftSlopeIntegralVariable.h.
{
SoftSlopeIntegralVariable * PLearn::SoftSlopeIntegralVariable::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::NaryVariable.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
void PLearn::SoftSlopeIntegralVariable::fprop | ( | ) | [virtual] |
compute output given input
Implements PLearn::Variable.
Definition at line 98 of file SoftSlopeIntegralVariable.cc.
References a, b, i, PLearn::left(), n, PLearn::VarArray::nelems(), PLearn::Variable::nelems(), PLearn::right(), PLearn::soft_slope_integral(), tabulated, PLearn::tabulated_soft_slope_integral(), PLearn::Variable::valuedata, and PLearn::NaryVariable::varray.
{ int n=nelems(); int n1=varray[0]->nelems(); int n2=varray[1]->nelems(); int n3=varray[2]->nelems(); real* smoothness = varray[0]->valuedata; real* left = varray[1]->valuedata; real* right = varray[2]->valuedata; if (n1==n && n2==n && n3==n) for(int i=0; i<n; i++) valuedata[i] = tabulated?tabulated_soft_slope_integral(smoothness[i], left[i], right[i],a,b):soft_slope_integral(smoothness[i], left[i], right[i],a,b); else if (n1==1 && n2==n && n3==n) for(int i=0; i<n; i++) valuedata[i] = tabulated?tabulated_soft_slope_integral(*smoothness, left[i], right[i],a,b):soft_slope_integral(*smoothness, left[i], right[i],a,b); else { int m1= n1==1?0:1; int m2= n2==1?0:1; int m3= n3==1?0:1; for(int i=0; i<n; i++,smoothness+=m1,left+=m2,right+=m3) valuedata[i] = tabulated?tabulated_soft_slope_integral(*smoothness, *left, *right, a, b):soft_slope_integral(*smoothness, *left, *right, a, b); } }
OptionList & PLearn::SoftSlopeIntegralVariable::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
OptionMap & PLearn::SoftSlopeIntegralVariable::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
RemoteMethodMap & PLearn::SoftSlopeIntegralVariable::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file SoftSlopeIntegralVariable.cc.
Recomputes the length l and width w that this variable should have, according to its parent variables.
This is used for ex. by sizeprop() The default version stupidly returns the current dimensions, so make sure to overload it in subclasses if this is not appropriate.
Reimplemented from PLearn::Variable.
Definition at line 77 of file SoftSlopeIntegralVariable.cc.
References i, PLearn::Variable::length(), PLERROR, PLearn::TVec< T >::size(), PLearn::NaryVariable::varray, w, and PLearn::Variable::width().
{ l=0; w=0; if (varray.size() && varray[0] && varray[1] && varray[2]) { for (int i = 0; i < 3; i++) { if (varray[i]->length() > l) l = varray[i]->length(); if (varray[i]->width() > w) w = varray[i]->width(); } for (int i = 0; i < 3; i++) { if (varray[i]->length() != l || varray[i]->width() != w) { if (varray[i]->length() != 1 || varray[i]->width() != 1) PLERROR("Each argument of SoftSlopeIntegralVariable should either have the same length/width as the others or length 1"); } } } }
void PLearn::SoftSlopeIntegralVariable::symbolicBprop | ( | ) | [virtual] |
compute a piece of new Var graph that represents the symbolic derivative of this Var
Reimplemented from PLearn::Variable.
Definition at line 179 of file SoftSlopeIntegralVariable.cc.
References PLERROR.
{ PLERROR("SoftSlopeIntegralVariable::symbolicBprop() not implemented"); }
Reimplemented from PLearn::NaryVariable.
Definition at line 69 of file SoftSlopeIntegralVariable.h.
Definition at line 61 of file SoftSlopeIntegralVariable.h.
Referenced by bprop(), declareOptions(), and fprop().
Definition at line 61 of file SoftSlopeIntegralVariable.h.
Referenced by bprop(), declareOptions(), and fprop().
Definition at line 62 of file SoftSlopeIntegralVariable.h.
Referenced by bprop(), declareOptions(), and fprop().