apple.metalperformanceshaders.enums

Class MPSCNNNeuronType

java.lang.Object

apple.metalperformanceshaders.enums.MPSCNNNeuronType

public final class MPSCNNNeuronType
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
static int	Absolute < f(x) = fabs(x)
static int	Count < holds the number of MPSCNNNeuronTypes
static int	ELU < f(x) = x >= 0 ? x : a * (exp(x) - 1); exponential linear unit
static int	Exponential < f(x) = c ^ (a * x + b)
static int	GeLU < f(x) = (1.0 + erf(x * sqrt(0.5))) * 0.5 * x
static int	HardSigmoid < f(x) = clamp((x * a) + b, 0, 1)
static int	Linear < f(x) = a * x + b
static int	Logarithm < f(x) = log_c(a * x + b)
static int	None < f(x) = x
static int	Power < f(x) = (a * x + b) ^ c
static int	PReLU < Same as ReLU except parameter a is per channel; parameterized rectified linear unit
static int	ReLU < f(x) = x >= 0 ? x : a * x; rectified linear unit
static int	ReLUN < f(x) = min((x >= 0 ? x : a * x), b); clamped rectified liniear unit
static int	Sigmoid < f(x) = 1 / (1 + e^-x)
static int	SoftPlus < f(x) = a * log(1 + e^(b * x))
static int	SoftSign < f(x) = x / (1 + abs(x))
static int	TanH < f(x) = a * tanh(b * x)

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

None

public static final int None

< f(x) = x

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Constant Field Values

ReLU

public static final int ReLU

< f(x) = x >= 0 ? x : a * x; rectified linear unit

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Constant Field Values

Linear

public static final int Linear

< f(x) = a * x + b

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Constant Field Values

Sigmoid

public static final int Sigmoid

< f(x) = 1 / (1 + e^-x)

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Constant Field Values

HardSigmoid

public static final int HardSigmoid

< f(x) = clamp((x * a) + b, 0, 1)

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Constant Field Values

TanH

public static final int TanH

< f(x) = a * tanh(b * x)

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Constant Field Values

Absolute

public static final int Absolute

< f(x) = fabs(x)

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Constant Field Values

SoftPlus

public static final int SoftPlus

< f(x) = a * log(1 + e^(b * x))

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Constant Field Values

SoftSign

public static final int SoftSign

< f(x) = x / (1 + abs(x))

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Constant Field Values

ELU

public static final int ELU

< f(x) = x >= 0 ? x : a * (exp(x) - 1); exponential linear unit

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Constant Field Values

PReLU

public static final int PReLU

< Same as ReLU except parameter a is per channel; parameterized rectified linear unit

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Constant Field Values

ReLUN

public static final int ReLUN

< f(x) = min((x >= 0 ? x : a * x), b); clamped rectified liniear unit

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Constant Field Values

Count

public static final int Count

< holds the number of MPSCNNNeuronTypes

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Constant Field Values

Power

public static final int Power

< f(x) = (a * x + b) ^ c

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Constant Field Values

Exponential

public static final int Exponential

< f(x) = c ^ (a * x + b)

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Constant Field Values

Logarithm

public static final int Logarithm

< f(x) = log_c(a * x + b)

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Constant Field Values

GeLU

public static final int GeLU

< f(x) = (1.0 + erf(x * sqrt(0.5))) * 0.5 * x

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Constant Field Values