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>

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