org.tensorflow.op.core

Class RandomGammaGrad<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.RandomGammaGrad<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

public final class RandomGammaGrad<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the derivative of a Gamma random sample w.r.t. `alpha`.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> RandomGammaGrad<T>	create(Scope scope, Operand<T> alpha, Operand<T> sample) Factory method to create a class to wrap a new RandomGammaGrad operation to the graph.
Output<T>	output()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T extends Number> RandomGammaGrad<T> create(Scope scope,
                                                           Operand<T> alpha,
                                                           Operand<T> sample)

Factory method to create a class to wrap a new RandomGammaGrad operation to the graph.

Parameters:

scope - current graph scope

alpha -

sample -

Returns:

a new instance of RandomGammaGrad

output

public Output<T> output()

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends Number>

See Also:

OperationBuilder.addInput(Output)