LocalResponseNormalizationGrad

public final class LocalResponseNormalizationGrad

Gradients for Local Response Normalization.

Nested Classes

Constants

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

Public Methods

static LocalResponseNormalizationGrad.Options
alpha(Float alpha)
Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static LocalResponseNormalizationGrad.Options
beta(Float beta)
static LocalResponseNormalizationGrad.Options
bias(Float bias)
static <T extends TNumber> LocalResponseNormalizationGrad<T>
create(Scope scope, Operand<T> inputGrads, Operand<T> inputImage, Operand<T> outputImage, Options... options)
Factory method to create a class wrapping a new LocalResponseNormalizationGrad operation.
static LocalResponseNormalizationGrad.Options
depthRadius(Long depthRadius)
Output<T>
output()
The gradients for LRN.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
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.
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
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: "LRNGrad"

Public Methods

public static LocalResponseNormalizationGrad.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 LocalResponseNormalizationGrad.Options beta (Float beta)

Parameters
beta An exponent.

public static LocalResponseNormalizationGrad.Options bias (Float bias)

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

public static LocalResponseNormalizationGrad<T> create (Scope scope, Operand<T> inputGrads, Operand<T> inputImage, Operand<T> outputImage, Options... options)

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

Parameters
scope current scope
inputGrads 4-D with shape `[batch, height, width, channels]`.
inputImage 4-D with shape `[batch, height, width, channels]`.
outputImage 4-D with shape `[batch, height, width, channels]`.
options carries optional attributes values
Returns
  • a new instance of LocalResponseNormalizationGrad

public static LocalResponseNormalizationGrad.Options depthRadius (Long depthRadius)

Parameters
depthRadius A depth radius.

public Output<T> output ()

The gradients for LRN.