Rank

public final class Rank

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."

Constants

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

Public Methods

Output<TInt32>
asOutput()
Returns the symbolic handle of the tensor.
static Rank
create(Scope scope, Operand<? extends TType> input)
Factory method to create a class wrapping a new Rank operation.
Output<TInt32>
output()

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "Rank"

Public Methods

public Output<TInt32> asOutput ()

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.

public static Rank create (Scope scope, Operand<? extends TType> input)

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

Parameters
scope current scope
Returns
  • a new instance of Rank

public Output<TInt32> output ()