deepboof.forward

Interface SpatialConvolve2D<T extends Tensor<T>>

All Superinterfaces:

Function<T>

All Known Implementing Classes:

SpatialConvolve2D_F32, SpatialConvolve2D_F64

public interface SpatialConvolve2D<T extends Tensor<T>>
extends Function<T>

Performs convolutions across an input image with special kernels that have 'C' channels, one for each input image.

Method Summary

Modifier and Type	Method and Description
void	forward(T input, T output) Applies forward spacial convolution.
ConfigConvolve2D	getConfiguration() Returns configuration of spacial parameters
SpatialPadding2D<T>	getPadding() Returns the padding
void	setParameters(java.util.List<T> parameters) See forward(T, T) for a description of parameters.

Methods inherited from interface deepboof.Function

getOutputShape, getParameters, getParameterShapes, getTensorType, initialize

Method Detail

forward

void forward(T input,
             T output)

Applies forward spacial convolution. Each spacial convolution kernel is composed of a C 2D kernels that are applied to the input image. The number of channels in the output image is dependent on the number of spacial kernels in this layer.

 Input   shape = (N, C, H,  W)
 Outputs shape = (N, F, H', W')
 Weight  shape = (F, C, HH, WW)
 Bias    shape = (F,)
 -------------------------------------------------
 N   = Size of mini-batch
 C   = Number of channels in input image
 H   = Height of input image
 W   = With of input image
 F   = Number of kernels or channels in output
 H'  = Height of output image. H' = 1 + (H + padY0 + padY1 - HH) / periodY
 W'  = Width of output image.  W' = 1 + (W + padX0 + padX1 - WW) / periodX
 HH  = Height of kernel
 WW  = Width of kernel
 

Specified by:

forward in interface Function<T extends Tensor<T>>

Parameters:

input - Tensor with the shape (N,C,H,W)

output - Output tensor (N, F, H', W') Modified.

setParameters

void setParameters(java.util.List<T> parameters)

See forward(T, T) for a description of parameters.

Specified by:

setParameters in interface Function<T extends Tensor<T>>

Parameters:

parameters - Two tensors. Weights = (F, C, HH, WW), bias = (F,)

getConfiguration

ConfigConvolve2D getConfiguration()

Returns configuration of spacial parameters

Returns:

Copy of configuration

getPadding

SpatialPadding2D<T> getPadding()

Returns the padding