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.. _op_ai_onnx_Transpose-24:

Transpose - version 24
======================

This page documents version **24** of operator **Transpose**. See :doc:`Transpose` for the latest version (since version 25).

- **Domain**: ``ai.onnx``
- **Since version**: 24

Returns a transpose of the input tensor. (Similar to ``numpy.transpose``).
The optional attribute ``perm`` must be a permutation of the dimensions of
the input tensor. Axis ``i`` of the output tensor corresponds to the axis
``perm[i]`` of the input tensor.
For example, when perm=(1, 0, 2), given an input tensor of shape (1, 2, 3),
the output shape will be (2, 1, 3).
When perm=(1, 2, 0), given an input tensor of shape (1, 2, 3),
the output shape will be (2, 3, 1).
If the attribute ``perm`` is omitted, its default value is ``(n-1, ..., 0)``,
where ``n`` is the rank of the input tensor.

**Inputs**

- **data** (*T*): An input tensor.

**Outputs**

- **transposed** (*T*): Transposed output.

**Attributes**

- **perm** (*int[]*): A list of integers. By default, reverse the dimensions, otherwise permute the axes according to the values given. Its length must be equal to the rank of the input.

**Type Constraints**

- **T**: Constrain input and output types to all tensor types.
  Allowed types: tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(float8e8m0), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8).

Differences with previous version (23)
--------------------------------------

**SchemaDiff**: ``Transpose`` (domain ``'ai.onnx'``)

* old version: 23
* new version: 24
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(float8e8m0)']