org.nd4j.linalg.convolution

Class OldConvolution

java.lang.Object

org.nd4j.linalg.convolution.OldConvolution

public class OldConvolution
extends Object

Method Summary

Modifier and Type	Method and Description
static INDArray	col2im(INDArray col, int[] stride, int[] padding, int height, int width)
static INDArray	col2im(INDArray col, int sy, int sx, int ph, int pw, int h, int w) Rearrange matrix columns into blocks
static INDArray	im2col(INDArray img, int[] kernel, int[] stride, int[] padding)
static INDArray	im2col(INDArray img, int kh, int kw, int sy, int sx, int ph, int pw, int pval, boolean coverAll) Implement column formatted images
static int	outSize(int size, int k, int s, int p, boolean coverAll) The out size for a convolution
static long	outSize(long size, long k, long s, long p, boolean coverAll)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

col2im

public static INDArray col2im(INDArray col,
                              int[] stride,
                              int[] padding,
                              int height,
                              int width)

Parameters:

col -

stride -

padding -

height -

width -

Returns:

col2im

public static INDArray col2im(INDArray col,
                              int sy,
                              int sx,
                              int ph,
                              int pw,
                              int h,
                              int w)

Rearrange matrix columns into blocks

Parameters:

col - the column transposed image to convert

sy - stride y

sx - stride x

ph - padding height

pw - padding width

h - height

w - width

Returns:

im2col

public static INDArray im2col(INDArray img,
                              int[] kernel,
                              int[] stride,
                              int[] padding)

Parameters:

img -

kernel -

stride -

padding -

Returns:

im2col

public static INDArray im2col(INDArray img,
                              int kh,
                              int kw,
                              int sy,
                              int sx,
                              int ph,
                              int pw,
                              int pval,
                              boolean coverAll)

Implement column formatted images

Parameters:

img - the image to process

kh - the kernel height

kw - the kernel width

sy - the stride along y

sx - the stride along x

ph - the padding width

pw - the padding height

pval - the padding value

coverAll - whether to cover the whole image or not

Returns:

the column formatted image

outSize

public static int outSize(int size,
                          int k,
                          int s,
                          int p,
                          boolean coverAll)

The out size for a convolution

Parameters:

size -

k -

s -

p -

coverAll -

Returns:

outSize

public static long outSize(long size,
                           long k,
                           long s,
                           long p,
                           boolean coverAll)