convolve< Backend, Matrix > Struct Template Reference

Detailed Description

template<enum Backend, class Matrix>
struct shogun::linalg::implementation::convolve< Backend, Matrix >

Generic class which is specialized for different backends to perform the convolve operation

Definition at line 60 of file Convolve.h.

Public Types
typedef Matrix::Scalar	T

Static Public Member Functions
static void	compute (Matrix X, Matrix W, Matrix Y, bool flip, bool overwrite, int32_t stride_x, int32_t stride_y)

Member Typedef Documentation

typedef Matrix::Scalar T

The scalar type

Definition at line 63 of file Convolve.h.

Member Function Documentation

static void compute ( Matrix  X, Matrix  W, Matrix  Y, bool  flip, bool  overwrite, int32_t  stride_x, int32_t  stride_y  )

static

Computes the 2D convolution of X with W

NOTE: For the ViennaCL backend, the size of W (number of bytes) must not exceed CL_DEVICE_MAX_CONSTANT_BUFFER_SIZE.

Parameters

X	Input image
W	Filter coefficients. The dimensions of the matrix must be odd-numbered.
Y	Output image of the same size as the input image, as the borders of the input image are implicitly padded with zeros during the computation
flip	If true the filter coefficients are flipped, performing cross-correlation instead of convolution
overwrite	If true, the values in Y are overwritten with result of the computation. Otherwise, the result is added to the existing values in Y.
stride_x	Stride in the x (column) direction
stride_y	Stride in the y (row) direction

---

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

• Convolve.h