# HSwish¶

Versioned name : HSwish-4

Category : Activation function

Short description : HSwish takes one input tensor and produces output tensor where the hard version of swish 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:

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

The HSwish operation is introduced in the following article.

Attributes : operation has no attributes.

Inputs :

• 1 : Multidimensional input tensor of type T. Required.

Outputs :

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

Types

• T : arbitrary supported floating-point type.

Example

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