:nosearch:

.. _op_ai_onnx_Max-8:

Max - version 8
===============

This page documents version **8** of operator **Max**. See :doc:`Max` for the latest version (since version 13).

- **Domain**: ``ai.onnx``
- **Since version**: 8

Element-wise max of each of the input tensors (with Numpy-style broadcasting support).
All inputs and outputs must have the same data type.

This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check `the doc <Broadcasting.md>`_.

**Inputs**

- **data_0** (*T*): List of tensors for max.

**Outputs**

- **max** (*T*): Output tensor.

**Type Constraints**

- **T**: Constrain input and output types to float tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16).

Differences with previous version (6)
-------------------------------------

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

* old version: 6
* new version: 8
* breaking: no

**Documentation:**

* line similarity: 0.00 (+4/-2 lines)

.. code-block:: diff

    --- Max v6
    +++ Max v8
    @@ -1,2 +1,4 @@
    -Element-wise max of each of the input tensors. All inputs and outputs must
    -have the same shape and data type.
    +Element-wise max of each of the input tensors (with Numpy-style broadcasting support).
    +All inputs and outputs must have the same data type.
    +
    +This operator supports **multidirectional (i.e., Numpy-style) broadcasting**; for more details please check [the doc](Broadcasting.md).