MPSCNNSpatialNormalizationGradient(3)

NAME
MPSCNNSpatialNormalizationGradient

SYNOPSIS

#import <MPSCNNNormalization.h>

Inherits MPSCNNGradientKernel.

  Instance Methods
(nonnull instancetype) - initWithDevice:kernelWidth:kernelHeight:
(nullable instancetype) - initWithCoder:device:

  Properties
float alpha
float beta
float delta

  Additional Inherited Members

Detailed Description

This depends on Metal.framework Specifies the spatial normalization gradient filter. The spatial normalization for a feature channel applies the filter over local regions which extend spatially, but are in separate feature channels (i.e., they have shape 1 x kernelWidth x kernelHeight). For each feature channel, the function computes the sum of squares of X inside each rectangle, N2(i,j). It then divides each element of X as follows: Y(i,j) = X(i,j) / (delta + alpha/(kw*kh) * N2(i,j))^beta, where kw and kh are the kernelWidth and the kernelHeight. It is the end-users responsibility to ensure that the combination of the parameters delta and alpha does not result in a situation where the denominator becomes zero - in such situations the resulting pixel-value is undefined.

T(i,j) = (delta + alpha/(kw*kh) * N2(i,j)) N = kw * kh

OutputGradient: dZ/dX(i,j) = T(i,j)^(-beta) * ( dZ/dY(i,j) - (2*alpha*beta*X(i,j)/T(i,j)) * (sum_{l,k in L(i),K(j)} dZ/dY(l,k)*X(l,k)) ) N is the kernel size. The window R(k) itself is defined as: L(i) = [i-floor((kw-1)/2), i+floor(kw/2] K(j) = [j-floor((kh-1)/2), j+floor(kh/2]

For correct gradient computation all parameters must be the same as the original normalization filter.

Method Documentation

  - (nullable instancetype) initWithCoder: (NSCoder *__nonnull) aDecoder(nonnull id< MTLDevice >) device
NSSecureCoding compatability While the standard NSSecureCoding/NSCoding method -initWithCoder: should work, since the file can't know which device your data is allocated on, we have to guess and may guess incorrectly. To avoid that problem, use initWithCoder:device instead.

Parameters:
    aDecoder The NSCoder subclass with your serialized MPSKernel
    device The MTLDevice on which to make the MPSKernel

Returns:
    A new MPSKernel object, or nil if failure.

Reimplemented from MPSCNNGradientKernel.

  - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(NSUInteger) kernelWidth(NSUInteger) kernelHeight
Initialize a spatial normalization filter

Parameters:
    device The device the filter will run on
    kernelWidth The width of the kernel
    kernelHeight The height of the kernel

Returns:
    A valid MPSCNNSpatialNormalization object or nil, if failure.

NOTE: For now, kernelWidth must be equal to kernelHeight

Property Documentation

  - alpha [read], [write], [nonatomic], [assign]
The value of alpha. Default is 1.0. Must be non-negative.

  - beta [read], [write], [nonatomic], [assign]
The value of beta. Default is 5.0

  - delta [read], [write], [nonatomic], [assign]
The value of delta. Default is 1.0

Author

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