org.tensorflow.op.core

Class Rank

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Rank

All Implemented Interfaces:

Op, Operand<Integer>

@Operator
public final class Rank
extends PrimitiveOp
implements Operand<Integer>

Returns the rank of a tensor.

This operation returns an integer representing the rank of `input`.

For example:

 # 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
 # shape of tensor 't' is [2, 2, 3]
 rank(t) ==> 3
 

Note: The rank of a tensor is not the same as the rank of a matrix. The rank of a tensor is the number of indices required to uniquely select each element of the tensor. Rank is also known as "order", "degree", or "ndims."

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Integer>	asOutput() Returns the symbolic handle of a tensor.
static <T> Rank	create(Scope scope, Operand<T> input) Factory method to create a class to wrap a new Rank operation to the graph.
Output<Integer>	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> Rank create(Scope scope,
                              Operand<T> input)

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

Parameters:

scope - current graph scope

input -

Returns:

a new instance of Rank

output

public Output<Integer> output()

asOutput

public Output<Integer> 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<Integer>

See Also:

OperationBuilder.addInput(Output)