tf.invert_permutation()

tf.invert_permutation(x, name=None)

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]

Args:

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

Returns:

A Tensor. Has the same type as x. 1-D.