org.tensorflow.op.core

Class UnravelIndex<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

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

Converts a flat index or array of flat indices into a tuple of

coordinate arrays.

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> UnravelIndex<T>	create(Scope scope, Operand<T> indices, Operand<T> dims) Factory method to create a class to wrap a new UnravelIndex operation to the graph.
Output<T>	output() An 2-D (or 1-D if indices is 0-D) tensor where each row has the same shape as the indices array.

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> UnravelIndex<T> create(Scope scope,
                                                        Operand<T> indices,
                                                        Operand<T> dims)

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

Parameters:

scope - current graph scope

indices - An 0-D or 1-D `int` Tensor whose elements are indices into the flattened version of an array of dimensions dims.

dims - An 1-D `int` Tensor. The shape of the array to use for unraveling indices.

Returns:

a new instance of UnravelIndex

output

public Output<T> output()

An 2-D (or 1-D if indices is 0-D) tensor where each row has the same shape as the indices array.

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)