GELU#

Versioned name: Gelu-7

Category: Activation function

Short description: Gaussian error linear unit element-wise activation function.

Detailed description:

Gelu operation is introduced in this article. It performs element-wise activation function on a given input tensor, based on the following mathematical formula:

where Φ(x) is the Cumulative Distribution Function for Gaussian Distribution.

The Gelu function may be approximated in two different ways based on approximation_mode attribute.

For erf approximation mode, Gelu function is represented as:

For tanh approximation mode, Gelu function is represented as:

Attributes

• approximation_mode

  • Description: Specifies the formulae to calculate the Gelu function.

  • Range of values:

    • erf - calculate output using the Gauss error function

    • tanh - calculate output using tanh approximation

  • Type: string

  • Default value: erf

  • Required: no

Inputs:

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

Outputs:

• 1: The result of element-wise Gelu function applied to the input tensor. A tensor of type T and the same shape as input tensor.

Types

• T: arbitrary supported floating-point type.

Examples

Example: tanh approximation mode

<layer ... type="Gelu">
    <data approximation_mode="tanh"/>
    <input>
        <port id="0">
            <dim>1</dim>
            <dim>128</dim>
        </port>
    </input>
    <output>
        <port id="1">
            <dim>1</dim>
            <dim>128</dim>
        </port>
    </output>
</layer>

Example: erf approximation mode

<layer ... type="Gelu">
    <data approximation_mode="erf"/>
    <input>
        <port id="0">
            <dim>3</dim>
            <dim>7</dim>
            <dim>9</dim>
        </port>
    </input>
    <output>
        <port id="1">
            <dim>3</dim>
            <dim>7</dim>
            <dim>9</dim>
        </port>
    </output>
</layer>