org.bytedeco.javacpp

Class tensorflow.LRN

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.LRN

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.LRN
extends Pointer

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). Arguments: * scope: A Scope object * input: 4-D. Optional attributes (see Attrs): * depth_radius: 0-D. Half-width of the 1-D normalization window. * bias: An offset (usually positive to avoid dividing by 0). * alpha: A scale factor, usually positive. * beta: An exponent. Returns: * Output: The output tensor.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.LRN.Attrs Optional attribute setters for LRN

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
LRN(Pointer p) Pointer cast constructor.
LRN(tensorflow.Scope scope, tensorflow.Input input)
LRN(tensorflow.Scope scope, tensorflow.Input input, tensorflow.LRN.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.LRN.Attrs	Alpha(float x)
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.LRN.Attrs	Beta(float x)
static tensorflow.LRN.Attrs	Bias(float x)
static tensorflow.LRN.Attrs	DepthRadius(long x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.LRN	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.LRN	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

LRN

public LRN(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

LRN

public LRN(@Const @ByRef
           tensorflow.Scope scope,
           @ByVal
           tensorflow.Input input)

LRN

public LRN(@Const @ByRef
           tensorflow.Scope scope,
           @ByVal
           tensorflow.Input input,
           @Const @ByRef
           tensorflow.LRN.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

DepthRadius

@ByVal
public static tensorflow.LRN.Attrs DepthRadius(@Cast(value="tensorflow::int64")
                                                       long x)

Bias

@ByVal
public static tensorflow.LRN.Attrs Bias(float x)

Alpha

@ByVal
public static tensorflow.LRN.Attrs Alpha(float x)

Beta

@ByVal
public static tensorflow.LRN.Attrs Beta(float x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.LRN operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.LRN output(tensorflow.Output output)