LocalResponseNormalization

public final class LocalResponseNormalization

Local Response Normalization.

The 4-D `input` tensor is treated as a 3-D array of 1-D vectors (along the last dimension), and each vector is normalized independently. Within a given vector, each component is divided by the weighted, squared sum of inputs within `depth_radius`. In detail,

sqr_sum[a, b, c, d] = sum(input[a, b, c, d - depth_radius : d + depth_radius + 1] ** 2) output = input / (bias + alpha * sqr_sum) ** beta

For details, see [Krizhevsky et al., ImageNet classification with deep convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks).

Nested Classes

class

LocalResponseNormalization.Options

Optional attributes for LocalResponseNormalization

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static LocalResponseNormalization.Options	alpha(Float alpha)
Output<T>	asOutput() Returns the symbolic handle of the tensor.
static LocalResponseNormalization.Options	beta(Float beta)
static LocalResponseNormalization.Options	bias(Float bias)
static <T extends TNumber> LocalResponseNormalization<T>	create(Scope scope, Operand<T> input, Options... options) Factory method to create a class wrapping a new LocalResponseNormalization operation.
static LocalResponseNormalization.Options	depthRadius(Long depthRadius)
Output<T>	output()

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "LRN"

Public Methods

public static LocalResponseNormalization.Options alpha (Float alpha)

Parameters

alpha	A scale factor, usually positive.

public Output<T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static LocalResponseNormalization.Options beta (Float beta)

Parameters

beta	An exponent.

public static LocalResponseNormalization.Options bias (Float bias)

Parameters

bias	An offset (usually positive to avoid dividing by 0).

public static LocalResponseNormalization<T> create (Scope scope, Operand<T> input, Options... options)

Factory method to create a class wrapping a new LocalResponseNormalization operation.

Parameters

scope	current scope
input	4-D.
options	carries optional attributes values

Returns

• a new instance of LocalResponseNormalization

public static LocalResponseNormalization.Options depthRadius (Long depthRadius)

Parameters

depthRadius	0-D. Half-width of the 1-D normalization window.

public Output<T> output ()