Add

Versioned name: Add-1

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:

  • 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 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

<layer ... type="Add">
<data auto_broadcast="none"/>
<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="Add">
<data auto_broadcast="numpy"/>
<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>