Class Xlog1py<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.math.Xlog1py<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="math")
public final class Xlog1py<T extends TType>
extends RawOp
implements Operand<T>

Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	Xlog1py.Inputs<T extends TType>

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
Xlog1py(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TType> Xlog1py<T>	create(Scope scope, Operand<T> x, Operand<T> y)	Factory method to create a class wrapping a new Xlog1py operation.
Output<T>	z()	Gets z.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

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

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

Xlog1py

public Xlog1py(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType> Xlog1py<T> create(Scope scope,
 Operand<T> x,
 Operand<T> y)

Factory method to create a class wrapping a new Xlog1py operation.

Type Parameters:

T - data type for Xlog1py output and operands

Parameters:

scope - current scope

x - The x value

y - The y value

Returns:

a new instance of Xlog1py

z

public Output<T> z()

Gets z.

Returns:

z.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends TType>

See Also:

• OperationBuilder.addInput(Output)