openvino/docs/ops/arithmetic/Maximum_1.md

Maximum

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.. meta:: :description: Learn about Maximum-1 - an element-wise, arithmetic operation, which can be performed on a single tensor in OpenVINO.

Versioned name: Maximum-1

Category: Arithmetic binary

Short description: Maximum performs element-wise maximum operation with two given tensors applying broadcasting rule specified in the auto_broadcast attribute.

Detailed description As a first step input tensors a and b are broadcasted if their shapes differ. Broadcasting is performed according to auto_broadcast attribute specification. As a second step Maximum operation is computed element-wise on the input tensors a and b according to the formula below:

After broadcasting Maximum does the following with the input tensors a and b:

.. math::

o_{i} = max(a_{i},\ b_{i})

Attributes:

• auto_broadcast

  • Description: specifies rules used for auto-broadcasting of input tensors.

  • Range of values:

    • none - no auto-broadcasting is allowed, all input shapes must match
    • numpy - numpy broadcasting rules, description is available in :doc:Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules>

  • Type: string

  • Default value: "numpy"

  • Required: no

Inputs

• 1: A tensor of type T and arbitrary shape. Required.
• 2: A tensor of type T and arbitrary shape. Required.

Outputs

• 1: The result of element-wise maximum operation. A tensor of type T with shape equal to broadcasted shape of two inputs.

Types

• T: any numeric type.

Examples

Example 1 - no broadcasting

.. code-block:: xml :force:

<layer ... type="Maximum"> 256 56 256 56 256 56

Example 2: numpy broadcasting

.. code-block:: xml :force:

<layer ... type="Maximum"> 8 1 6 1 7 1 5 8 7 6 5

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