13 #ifndef MLPACK_METHODS_ANN_LAYER_MULTIPLY_CONSTANT_HPP 14 #define MLPACK_METHODS_ANN_LAYER_MULTIPLY_CONSTANT_HPP 31 typename InputDataType = arma::mat,
32 typename OutputDataType = arma::mat
61 template<
typename InputType,
typename OutputType>
62 void Forward(
const InputType& input, OutputType& output);
72 template<
typename DataType>
73 void Backward(
const DataType& ,
const DataType& gy, DataType& g);
81 OutputDataType&
Delta()
const {
return delta; }
83 OutputDataType&
Delta() {
return delta; }
86 double Scalar()
const {
return scalar; }
96 template<
typename Archive>
97 void serialize(Archive& ar,
const uint32_t );
104 OutputDataType delta;
107 OutputDataType outputParameter;
114 #include "multiply_constant_impl.hpp" void Forward(const InputType &input, OutputType &output)
Ordinary feed forward pass of a neural network.
size_t WeightSize() const
Get the size of the weights.
OutputDataType & OutputParameter()
Modify the output parameter.
Linear algebra utility functions, generally performed on matrices or vectors.
OutputDataType & Delta()
Modify the delta.
The core includes that mlpack expects; standard C++ includes and Armadillo.
void serialize(Archive &ar, const uint32_t)
Serialize the layer.
void Backward(const DataType &, const DataType &gy, DataType &g)
Ordinary feed backward pass of a neural network.
double & Scalar()
Modify the scalar multiplier.
OutputDataType & OutputParameter() const
Get the output parameter.
MultiplyConstant & operator=(const MultiplyConstant &layer)
Copy assignment operator.
double Scalar() const
Get the scalar multiplier.
OutputDataType & Delta() const
Get the delta.
MultiplyConstant(const double scalar=1.0)
Create the MultiplyConstant object.
Implementation of the multiply constant layer.