\section{Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1AddMerge}\index{Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$@{Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$}} Implementation of the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} module class. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Add\+Merge} (const bool model=false, const bool run=true) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} object using the specified parameters. \end{DoxyCompactList}\item \textbf{ Add\+Merge} (const bool model, const bool run, const bool owns\+Layers) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} object using the specified parameters. \end{DoxyCompactList}\item \textbf{ $\sim$\+Add\+Merge} () \begin{DoxyCompactList}\small\item\em Destructor to release allocated memory. \end{DoxyCompactList}\item {\footnotesize template$<$class Layer\+Type , class... Args$>$ }\\void \textbf{ Add} (Args... args) \item void \textbf{ Add} (\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ layer) \item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&gy, arma\+::\+Mat$<$ eT $>$ \&g) \begin{DoxyCompactList}\small\item\em Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&gy, arma\+::\+Mat$<$ eT $>$ \&g, const size\+\_\+t index) \begin{DoxyCompactList}\small\item\em This is the overload of \doxyref{Backward()}{p.}{classmlpack_1_1ann_1_1AddMerge_ad9ad1a3bdb0f3fff5c839ed155e4bbf8} that runs only a specific layer with the given input. \end{DoxyCompactList}\item Output\+Data\+Type const \& \textbf{ Delta} () const \begin{DoxyCompactList}\small\item\em Get the delta. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () \begin{DoxyCompactList}\small\item\em Modify the delta. \end{DoxyCompactList}\item {\footnotesize template$<$typename Input\+Type , typename Output\+Type $>$ }\\void \textbf{ Forward} (const Input\+Type \&, Output\+Type \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Gradient} (const arma\+::\+Mat$<$ eT $>$ \&input, const arma\+::\+Mat$<$ eT $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&gradient) \item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Gradient} (const arma\+::\+Mat$<$ eT $>$ \&input, const arma\+::\+Mat$<$ eT $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&gradient, const size\+\_\+t index) \item Input\+Data\+Type const \& \textbf{ Input\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the input parameter. \end{DoxyCompactList}\item Input\+Data\+Type \& \textbf{ Input\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the input parameter. \end{DoxyCompactList}\item std\+::vector$<$ \textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ $>$ \& \textbf{ Model} () \begin{DoxyCompactList}\small\item\em Return the model modules. \end{DoxyCompactList}\item Output\+Data\+Type const \& \textbf{ Output\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the output parameter. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Output\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the output parameter. \end{DoxyCompactList}\item Output\+Data\+Type const \& \textbf{ Parameters} () const \begin{DoxyCompactList}\small\item\em Get the parameters. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Parameters} () \begin{DoxyCompactList}\small\item\em Modify the parameters. \end{DoxyCompactList}\item bool \textbf{ Run} () const \begin{DoxyCompactList}\small\item\em Get the value of run parameter. \end{DoxyCompactList}\item bool \& \textbf{ Run} () \begin{DoxyCompactList}\small\item\em Modify the value of run parameter. \end{DoxyCompactList}\item {\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&ar, const unsigned int) \begin{DoxyCompactList}\small\item\em Serialize the layer. \end{DoxyCompactList}\end{DoxyCompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$typename Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat, typename... Custom\+Layers$>$\newline class mlpack\+::ann\+::\+Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$} Implementation of the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} module class. The \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} class accumulates the output of various modules. \begin{DoxyTemplParams}{Template Parameters} {\em Input\+Data\+Type} & Type of the input data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline {\em Output\+Data\+Type} & Type of the output data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline {\em Custom\+Layers} & Additional custom layers that can be added. \\ \hline \end{DoxyTemplParams} Definition at line 42 of file add\+\_\+merge.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_aa3a9322cccc5043ba480a7b9f8ca055a}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Add\+Merge@{Add\+Merge}} \index{Add\+Merge@{Add\+Merge}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Add\+Merge()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily \textbf{ Add\+Merge} (\begin{DoxyParamCaption}\item[{const bool}]{model = {\ttfamily false}, }\item[{const bool}]{run = {\ttfamily true} }\end{DoxyParamCaption})} Create the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} object using the specified parameters. \begin{DoxyParams}{Parameters} {\em model} & Expose all the network modules. \\ \hline {\em run} & Call the Forward/\+Backward method before the output is merged. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a5679dd6a65935fa79b54de8be0818ca6}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Add\+Merge@{Add\+Merge}} \index{Add\+Merge@{Add\+Merge}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Add\+Merge()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily \textbf{ Add\+Merge} (\begin{DoxyParamCaption}\item[{const bool}]{model, }\item[{const bool}]{run, }\item[{const bool}]{owns\+Layers }\end{DoxyParamCaption})} Create the \doxyref{Add\+Merge}{p.}{classmlpack_1_1ann_1_1AddMerge} object using the specified parameters. \begin{DoxyParams}{Parameters} {\em model} & Expose all the network modules. \\ \hline {\em run} & Call the Forward/\+Backward method before the output is merged. \\ \hline {\em owns\+Layers} & Delete the layers when this is deallocated. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_addb097051de29df7c561e1fa8144b4f7}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!````~Add\+Merge@{$\sim$\+Add\+Merge}} \index{````~Add\+Merge@{$\sim$\+Add\+Merge}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{$\sim$\+Add\+Merge()} {\footnotesize\ttfamily $\sim$\textbf{ Add\+Merge} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Destructor to release allocated memory. \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a8b5234495846c00f6b2c8296ca6bc718}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Add@{Add}} \index{Add@{Add}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{Args...}]{args }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 137 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a503a807740e6c729be9efc89520db728}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Add@{Add}} \index{Add@{Add}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$}]{layer }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 144 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Backward()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{gy, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{g }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. Using the results from the feed forward pass. \begin{DoxyParams}{Parameters} {\em $\ast$} & (input) The propagated input activation. \\ \hline {\em gy} & The backpropagated error. \\ \hline {\em g} & The calculated gradient. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a32bcd789dbfae1bd33009208d783af03}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Backward()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{gy, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{g, }\item[{const size\+\_\+t}]{index }\end{DoxyParamCaption})} This is the overload of \doxyref{Backward()}{p.}{classmlpack_1_1ann_1_1AddMerge_ad9ad1a3bdb0f3fff5c839ed155e4bbf8} that runs only a specific layer with the given input. \begin{DoxyParams}{Parameters} {\em $\ast$} & (input) The propagated input activation. \\ \hline {\em gy} & The backpropagated error. \\ \hline {\em g} & The calculated gradient. \\ \hline {\em index} & The index of the layer to run. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a797f7edb44dd081e5e2b3cc316eef6bd}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta. Definition at line 157 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the delta. Definition at line 159 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a15104aebf957ca49a0e3828abda5417f}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Forward()} {\footnotesize\ttfamily void Forward (\begin{DoxyParamCaption}\item[{const Input\+Type \&}]{, }\item[{Output\+Type \&}]{output }\end{DoxyParamCaption})} Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \begin{DoxyParams}{Parameters} {\em $\ast$} & (input) Input data used for evaluating the specified function. \\ \hline {\em output} & Resulting output activation. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_aaf577db350e2130754490d8486fba215}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{error, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{gradient }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a3a788180c1f383a92cc99dd6d7d86bfc}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{error, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{gradient, }\item[{const size\+\_\+t}]{index }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1AddMerge_aaffd593b3ab627f8b5aae2a1f53634b0}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Input\+Data\+Type const\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the input parameter. Definition at line 147 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a063c3b1053c7979a7dd2e7bbd2bf1f8a}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Input\+Data\+Type\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the input parameter. Definition at line 149 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a4cb1e93bff99ccf1f8f974065a3b13c3}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Model@{Model}} \index{Model@{Model}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Model()} {\footnotesize\ttfamily std\+::vector$<$\textbf{ Layer\+Types}$<$Custom\+Layers...$>$ $>$\& Model (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Return the model modules. Definition at line 162 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a0ee21c2a36e5abad1e7a9d5dd00849f9}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 152 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output parameter. Definition at line 154 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_aa530552c7ef915c952fbacc77b965c90}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the parameters. Definition at line 173 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a9c5c5900772a689d5a6b59778ec67120}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the parameters. Definition at line 175 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_afdada2aebea2e6674e47bde6f697b0b8}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Run@{Run}} \index{Run@{Run}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Run()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily bool Run (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the value of run parameter. Definition at line 178 of file add\+\_\+merge.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AddMerge_a6d2eb043777b8a5e63ff8746b3cf980c}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!Run@{Run}} \index{Run@{Run}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{Run()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily bool\& Run (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the value of run parameter. Definition at line 180 of file add\+\_\+merge.\+hpp. References Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1AddMerge_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Add\+Merge@{mlpack\+::ann\+::\+Add\+Merge}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Add\+Merge$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$\+::\+Run(). The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/ann/layer/\textbf{ add\+\_\+merge.\+hpp}\end{DoxyCompactItemize}