mindspore.ops.InvertPermutation

class mindspore.ops.InvertPermutation(*args, **kwargs)[source]

Computes the inverse of an index permutation.

This operator is mainly used to calculate the inverse of index permutation. It requires a 1-dimensional integer tensor x, which represents the index of a zero-based array, and exchanges each value with its index position. In other words, For output tensor y and input tensor x, this operation calculates the following values:

\(y[x[i]] = i, \quad i \in [0, 1, \ldots, \text{len}(x)-1]\).

Note

These values must include 0. There must be no duplicate values and the values can not be negative.

Inputs:

input_x (Union(tuple[int], list[int]) - The input is constructed by multiple integers, i.e., \((y_1, y_2, ..., y_S)\) representing the indices. The values must include 0. There can be no duplicate values or negative values. Only constant value is allowed. The maximum value must be equal to length of input_x.

Outputs:

tuple[int]. It has the same length as the input.

Raises

TypeError – If input_x is neither tuple nor list.
TypeError – If element of input_x is not an int.

Supported Platforms:: Ascend GPU CPU

Examples

>>> invert = ops.InvertPermutation()
>>> input_data = (3, 4, 0, 2, 1)
>>> output = invert(input_data)
>>> print(output)
(2, 4, 3, 0, 1)