# Divide¶

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:

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

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 :

• 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

<layer ... type="Divide">
<data auto_broadcast="none" m_pythondiv="true"/>
<input>
<port id="0">
<dim>256</dim>
<dim>56</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>56</dim>
</port>
</input>
<output>
<port id="2">
<dim>256</dim>
<dim>56</dim>
</port>
</output>
</layer>

Example 2: broadcast

<layer ... type="Divide">
<data auto_broadcast="numpy" m_pythondiv="false"/>
<input>
<port id="0">
<dim>8</dim>
<dim>1</dim>
<dim>6</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>7</dim>
<dim>1</dim>
<dim>5</dim>
</port>
</input>
<output>
<port id="2">
<dim>8</dim>
<dim>7</dim>
<dim>6</dim>
<dim>5</dim>
</port>
</output>
</layer>