NaiveConvolution< BorderMode > Class Template Reference

Computes the two-dimensional convolution. More...

Static Public Member Functions
template<typename eT , typename Border = BorderMode>
static std::enable_if < std::is_same< Border, ValidConvolution >::value, void >::type	Convolution (const arma::Mat< eT > &input, const arma::Mat< eT > &filter, arma::Mat< eT > &output, const size_t dW=1, const size_t dH=1, const size_t dilationW=1, const size_t dilationH=1)
template<typename eT , typename Border = BorderMode>
static std::enable_if < std::is_same< Border, FullConvolution >::value, void > ::type	Convolution (const arma::Mat< eT > &input, const arma::Mat< eT > &filter, arma::Mat< eT > &output, const size_t dW=1, const size_t dH=1, const size_t dilationW=1, const size_t dilationH=1)
template<typename eT >
static void	Convolution (const arma::Cube< eT > &input, const arma::Cube< eT > &filter, arma::Cube< eT > &output, const size_t dW=1, const size_t dH=1, const size_t dilationW=1, const size_t dilationH=1)
template<typename eT >
static void	Convolution (const arma::Mat< eT > &input, const arma::Cube< eT > &filter, arma::Cube< eT > &output, const size_t dW=1, const size_t dH=1, const size_t dilationW=1, const size_t dilationH=1)
template<typename eT >
static void	Convolution (const arma::Cube< eT > &input, const arma::Mat< eT > &filter, arma::Cube< eT > &output, const size_t dW=1, const size_t dH=1, const size_t dilationW=1, const size_t dilationH=1)

Detailed Description

template<typename BorderMode = FullConvolution>
class mlpack::ann::NaiveConvolution< BorderMode >

Computes the two-dimensional convolution.

This class allows specification of the type of the border type. The convolution can be compute with the valid border type of the full border type (default).

FullConvolution: returns the full two-dimensional convolution. ValidConvolution: returns only those parts of the convolution that are computed without the zero-padded edges.

Template Parameters

BorderMode

Type of the border mode (FullConvolution or ValidConvolution).

Definition at line 35 of file naive_convolution.hpp.

Member Function Documentation

static std::enable_if< std::is_same<Border, ValidConvolution>::value, void>::type Convolution ( const arma::Mat< eT > &  input, const arma::Mat< eT > &  filter, arma::Mat< eT > &  output, const size_t  dW = 1, const size_t  dH = 1, const size_t  dilationW = 1, const size_t  dilationH = 1  )

inlinestatic

Definition at line 52 of file naive_convolution.hpp.

Referenced by SVDConvolution< BorderMode >::Convolution(), and NaiveConvolution< BorderMode >::Convolution().

static std::enable_if< std::is_same<Border, FullConvolution>::value, void>::type Convolution ( const arma::Mat< eT > &  input, const arma::Mat< eT > &  filter, arma::Mat< eT > &  output, const size_t  dW = 1, const size_t  dH = 1, const size_t  dilationW = 1, const size_t  dilationH = 1  )

inlinestatic

Definition at line 98 of file naive_convolution.hpp.

References NaiveConvolution< BorderMode >::Convolution().

static void Convolution ( const arma::Cube< eT > &  input, const arma::Cube< eT > &  filter, arma::Cube< eT > &  output, const size_t  dW = 1, const size_t  dH = 1, const size_t  dilationW = 1, const size_t  dilationH = 1  )

inlinestatic

Definition at line 151 of file naive_convolution.hpp.

References NaiveConvolution< BorderMode >::Convolution().

static void Convolution ( const arma::Mat< eT > &  input, const arma::Cube< eT > &  filter, arma::Cube< eT > &  output, const size_t  dW = 1, const size_t  dH = 1, const size_t  dilationW = 1, const size_t  dilationH = 1  )

inlinestatic

Definition at line 187 of file naive_convolution.hpp.

References NaiveConvolution< BorderMode >::Convolution().

static void Convolution ( const arma::Cube< eT > &  input, const arma::Mat< eT > &  filter, arma::Cube< eT > &  output, const size_t  dW = 1, const size_t  dH = 1, const size_t  dilationW = 1, const size_t  dilationH = 1  )

inlinestatic

Definition at line 223 of file naive_convolution.hpp.

References NaiveConvolution< BorderMode >::Convolution().

---

The documentation for this class was generated from the following file:

• src/mlpack/methods/ann/convolution_rules/naive_convolution.hpp