# HSigmoid¶

Versioned name : HSigmoid-5

Category : Activation function

Short description : HSigmoid takes one input tensor and produces output tensor where the hard version of sigmoid function is applied to the tensor elementwise.

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

$HSigmoid(x) = \frac{min(max(x + 3, 0), 6)}{6}$

The HSigmoid operation is introduced in the following article.

Attributes : operations has no attributes.

Inputs :

• 1 : A tensor of type T. Required.

Outputs :

• 1 : The resulting tensor of the same shape and type as input tensor.

Types

• T : any floating point type.

Examples

<layer ... type="HSigmoid">
<input>
<port id="0">
<dim>256</dim>
</port>
</input>
<output>
<port id="1">
<dim>256</dim>
</port>
</output>
</layer>