org.tensorflow.op.core

Class Range<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class Range<T extends Number>
extends PrimitiveOp
implements Operand<T>

Creates a sequence of numbers.

This operation creates a sequence of numbers that begins at `start` and extends by increments of `delta` up to but not including `limit`.

For example:

 # 'start' is 3
 # 'limit' is 18
 # 'delta' is 3
 tf.range(start, limit, delta) ==> [3, 6, 9, 12, 15]
 

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> Range<T>	create(Scope scope, Operand<T> start, Operand<T> limit, Operand<T> delta) Factory method to create a class to wrap a new Range operation to the graph.
Output<T>	output() 1-D.

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> Range<T> create(Scope scope,
                                                 Operand<T> start,
                                                 Operand<T> limit,
                                                 Operand<T> delta)

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

Parameters:

scope - current graph scope

start - 0-D (scalar). First entry in the sequence.

limit - 0-D (scalar). Upper limit of sequence, exclusive.

delta - 0-D (scalar). Optional. Default is 1. Number that increments `start`.

Returns:

a new instance of Range

output

public Output<T> output()

1-D.

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)