:nosearch:

.. _op_ai_onnx_Max-12:

Max - version 12
================

This page documents version **12** of operator **Max**. See :doc:`Max` for the latest version (since version 13).

- **Domain**: ``ai.onnx``
- **Since version**: 12

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 numeric tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Differences with previous version (8)
-------------------------------------

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

* old version: 8
* new version: 12
* breaking: no

**Type constraints:**

* changed 'T': added types: ['tensor(int16)', 'tensor(int32)', 'tensor(int64)', 'tensor(int8)', 'tensor(uint16)', 'tensor(uint32)', 'tensor(uint64)', 'tensor(uint8)']