[mlpack-git] [mlpack/mlpack] Inception layer (#757)

[Tham]

> +  {
> +    ForwardTail(layers, output);
> +  }
> +
> +  template<size_t I = 0, typename DataType, typename... Tp>
> +  typename std::enable_if<I == sizeof...(Tp), void>::type
> +  ForwardTail(std::tuple<Tp...>& layers, DataType& output)
> +  {
> +    /* Nothing to do. */
> +  }
> +
> +  template<size_t I = 0, typename DataType, typename... Tp>
> +  typename std::enable_if<I < sizeof...(Tp), void>::type
> +  ForwardTail(std::tuple<Tp...>& layers, DataType& output)
> +  {
> +    output = arma::join_slices(output, std::get<I>(layers).OutputParameter());

>but i can write 2 overloads for output type arma::cube and arma::mat. 

I think this is a good solution.

>Is there a better way ?

I do not know a better way, but it is possible to specialize your function by std::enable_if, you can write something like

```
//pseudo codes
typename std::enable_if<I < sizeof...(Tp) & std::is_arma_mat<DataType>::value>::type

```
Armadillo has a header file define something like std::is_arma_mat, but I forgot where is it. However, this solution is less elegant compare with overload.

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