Class BesselI0e<T extends TNumber>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.math.BesselI0e<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="math")
public final class BesselI0e<T extends TNumber>
extends RawOp
implements Operand<T>

The BesselI0e operation

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	BesselI0e.Inputs<T extends TNumber>

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
BesselI0e(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TNumber> BesselI0e<T>	create(Scope scope, Operand<T> x)	Factory method to create a class wrapping a new BesselI0e operation.
Output<T>	y()	Gets y.

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

BesselI0e

public BesselI0e(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TNumber> BesselI0e<T> create(Scope scope,
 Operand<T> x)

Factory method to create a class wrapping a new BesselI0e operation.

Type Parameters:

T - data type for BesselI0e output and operands

Parameters:

scope - current scope

x - The x value

Returns:

a new instance of BesselI0e

y

public Output<T> y()

Gets y.

Returns:

y.

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 TNumber>

See Also:

• OperationBuilder.addInput(Output)