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openvino/docs/ops/activation/SoftPlus_4.md
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Updated from 2020.3 to 2020.4

Co-authored-by: domi2000 <domi2000@users.noreply.github.com>
2020-07-20 17:36:08 +03:00

1.1 KiB

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:

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

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>