InvertPermutation

public final class InvertPermutation

Computes the inverse permutation of a tensor.

This operation computes the inverse of an index permutation. It takes a 1-D integer tensor `x`, which represents the indices of a zero-based array, and swaps each value with its index position. In other words, for an output tensor `y` and an input tensor `x`, this operation computes the following:

`y[x[i]] = i for i in [0, 1, ..., len(x) - 1]`

The values must include 0. There can be no duplicate values or negative values.

For example:

# tensor `x` is [3, 4, 0, 2, 1]
 invert_permutation(x) ==> [2, 4, 3, 0, 1]
 

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > InvertPermutation <T>
create ( Scope scope, Operand <T> x)
Factory method to create a class wrapping a new InvertPermutation operation.
Output <T>
y ()
1-D.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "InvertPermutation"

Public Methods

public Output <T> 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 InvertPermutation <T> create ( Scope scope, Operand <T> x)

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

Parameters
scope current scope
x 1-D.
Returns
  • a new instance of InvertPermutation

public Output <T> y ()

1-D.