ScaleAndTranslateGrad

public final class ScaleAndTranslateGrad

Nested Classes

class

ScaleAndTranslateGrad.Options

Optional attributes for ScaleAndTranslateGrad

Public Methods

static ScaleAndTranslateGrad.Options	antialias (Boolean antialias)
Output <T>	asOutput () Returns the symbolic handle of a tensor.
static <T extends Number> ScaleAndTranslateGrad <T>	create ( Scope scope, Operand <T> grads, Operand <T> originalImage, Operand <Float> scale, Operand <Float> translation, Options... options) Factory method to create a class wrapping a new ScaleAndTranslateGrad operation.
static ScaleAndTranslateGrad.Options	kernelType (String kernelType)
Output <T>	output ()

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying 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.Operand

abstract Output <T>

asOutput () Returns the symbolic handle of a tensor.

Public Methods

public static ScaleAndTranslateGrad.Options antialias (Boolean antialias)

public Output <T> asOutput ()

Returns the symbolic handle of a 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 ScaleAndTranslateGrad <T> create ( Scope scope, Operand <T> grads, Operand <T> originalImage, Operand <Float> scale, Operand <Float> translation, Options... options)

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

Parameters

scope	current scope
options	carries optional attributes values

Returns

• a new instance of ScaleAndTranslateGrad

public static ScaleAndTranslateGrad.Options kernelType (String kernelType)

public Output <T> output ()