HardSigmoid

Versioned name: HardSigmoid-1

Category: Activation function

Short description: HardSigmoid element-wise activation function.

Attributes: HardSigmoid operation has no attributes.

Mathematical Formulation

For each element from the input tensor calculates corresponding element in the output tensor with the following formula:

\[y = max(0,\ min(1,\ \alpha x + \beta))\]

where α corresponds to alpha scalar input and β corresponds to beta scalar input.

Inputs

• 1: An tensor of type T. Required.

• 2: alpha 0D tensor (scalar) of type T. Required.

• 3: beta 0D tensor (scalar) of type T. Required.

Outputs

• 1: The result of the hard sigmoid operation. A tensor of type T.

Types

• T: any floating-point type.

Examples

<layer ... type="HardSigmoid">
    <input>
        <port id="0">
            <dim>256</dim>
            <dim>56</dim>
        </port>
        <port id="1"/>
        <port id="2"/>
    </input>
    <output>
        <port id="3">
            <dim>256</dim>
            <dim>56</dim>
        </port>
    </output>
</layer>