Category: Arithmetic binary operation

Short description: Add performs element-wise addition 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 Add performs addition operation for the input tensors a and b using the formula below:

$o_{i} = a_{i} + b_{i}$

Attributes:

• 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 addition operation. A tensor of type T with shape equal to broadcasted shape of the two inputs.

Types

• T: any numeric type.

Examples

Example 1

<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>

<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>