# tf.raw_ops.InvertPermutation

<br />

Computes the inverse permutation of a tensor.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.InvertPermutation`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/InvertPermutation)

<br />

    tf.raw_ops.InvertPermutation(
        x, name=None
    )

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]

<br />

<br />

<br />

| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `int32`, `int64`. 1-D. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `x`. ||

<br />