openvino/docs/ops/arithmetic/Divide_1.md

Divide

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Versioned name: Divide-1

Category: Arithmetic binary

Short description: Divide performs element-wise division operation with two given tensors applying broadcasting rule specified in the auto_broacast attribute.

Detailed description Before performing arithmetic operation, input tensors a and b are broadcasted if their shapes are different and auto_broadcast attribute is not none. Broadcasting is performed according to auto_broadcast value. After broadcasting Divide performs division operation for the input tensors a and b using the formula below:

.. math::

o_{i} = \frac{a_{i}}{b_{i}}

The result of division by zero is undefined.

Attributes:

• m_pythondiv

  • Description: specifies if floor division should be calculate. This attribute is supported only for integer data types.

  • Range of values:

    • false - regular division
    • true - floor division

  • Type: boolean

  • Default value: true

  • Required: no

• 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>,
    • pdpd - PaddlePaddle-style implicit broadcasting, 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 and rank. Required.
• 2: A tensor of type T and arbitrary shape and rank. Required.

Outputs

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

Types

• T: any numeric type.

Examples

Example 1

.. code-block:: cpp

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

Example 2: broadcast

.. code-block:: cpp

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

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