Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

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."

Public Methods

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 wrapping a new Rank operation.
Output <Integer>

Inherited Methods

Public Methods

public Output <Integer> asOutput ()

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.

public static Rank create ( Scope scope, Operand <T> input)

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

Parameters
scope current scope
Returns
  • a new instance of Rank

public Output <Integer> output ()