#include <MatrixSoftmaxLossVariable.h>
Inheritance diagram for PLearn::MatrixSoftmaxLossVariable:
Public Member Functions | |
| MatrixSoftmaxLossVariable () | |
| Default constructor for persistence. | |
| MatrixSoftmaxLossVariable (Variable *input1, Variable *input2) | |
| PLEARN_DECLARE_OBJECT (MatrixSoftmaxLossVariable) | |
| virtual void | build () |
| Should call simply inherited::build(), then this class's build_(). | |
| 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 | bbprop () |
| compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ... | |
| virtual void | symbolicBprop () |
| compute a piece of new Var graph that represents the symbolic derivative of this Var | |
| virtual void | rfprop () |
Protected Member Functions | |
| void | build_ () |
Private Types | |
| typedef BinaryVariable | inherited |
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Reimplemented from PLearn::BinaryVariable. Definition at line 55 of file MatrixSoftmaxLossVariable.h. Referenced by MatrixSoftmaxLossVariable(). |
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Default constructor for persistence.
Definition at line 59 of file MatrixSoftmaxLossVariable.h. |
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Definition at line 54 of file MatrixSoftmaxLossVariable.cc. |
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compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ... d^2C/dx^2 = d^2C/dy^2 * (dy/dx)^2 + dC/dy * d^2y/dx^2 (diaghessian) (gradient) Reimplemented from PLearn::Variable. Definition at line 117 of file MatrixSoftmaxLossVariable.cc. References PLERROR. |
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Implements PLearn::Variable. Definition at line 99 of file MatrixSoftmaxLossVariable.cc. References PLearn::Var::length(), and PLearn::safeexp(). |
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Should call simply inherited::build(), then this class's build_(). This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object. Reimplemented from PLearn::Variable. Definition at line 61 of file MatrixSoftmaxLossVariable.cc. References build_(). |
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This method should be redefined in subclasses and do the actual building of the object according to previously set option fields. Constructors can just set option fields, and then call build_. This method is NOT virtual, and will typically be called only from three places: a constructor, the public virtual build() method, and possibly the public virtual read method (which calls its parent's read). build_() can assume that it's parent's build_ has already been called. Reimplemented from PLearn::Variable. Definition at line 68 of file MatrixSoftmaxLossVariable.cc. References PLERROR. Referenced by build(), and MatrixSoftmaxLossVariable(). |
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compute output given input
Implements PLearn::Variable. Definition at line 85 of file MatrixSoftmaxLossVariable.cc. References PLearn::Var::length(), PLearn::safeexp(), and PLearn::sum(). |
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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 75 of file MatrixSoftmaxLossVariable.cc. References PLearn::Var::length(), and PLearn::Var::width(). |
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Reimplemented from PLearn::Variable. Definition at line 129 of file MatrixSoftmaxLossVariable.cc. References PLERROR. |
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compute a piece of new Var graph that represents the symbolic derivative of this Var
Reimplemented from PLearn::Variable. Definition at line 123 of file MatrixSoftmaxLossVariable.cc. References PLERROR. |
1.3.7