SoftPlus

Versioned name: SoftPlus-4

Category: Activation

Short description: SoftPlus takes one input tensor and produces output tensor where the softplus 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:

\[ SoftPlus(x) = ln(e^{x} + 1.0) \]

Attributes: SoftPlus 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="SoftPlus">
    <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>