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@ -160,6 +160,7 @@
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<tab type="user" title="GroupConvolutionBackpropData-1" url="@ref openvino_docs_ops_convolution_GroupConvolutionBackpropData_1"/>
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<tab type="user" title="GroupConvolution-1" url="@ref openvino_docs_ops_convolution_GroupConvolution_1"/>
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<tab type="user" title="HardSigmoid-1" url="@ref openvino_docs_ops_activation_HardSigmoid_1"/>
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<tab type="user" title="HSigmoid-5" url="@ref openvino_docs_ops_activation_HSigmoid_5"/>
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<tab type="user" title="HSwish-4" url="@ref openvino_docs_ops_activation_HSwish_4"/>
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<tab type="user" title="Interpolate-1" url="@ref openvino_docs_ops_image_Interpolate_1"/>
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<tab type="user" title="Interpolate-4" url="@ref openvino_docs_ops_image_Interpolate_4"/>
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docs/ops/activation/HSigmoid_5.md
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docs/ops/activation/HSigmoid_5.md
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## HSigmoid<a name="HSigmoid"></a> {#openvino_docs_ops_activation_HSigmoid_5}
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**Versioned name**: *HSigmoid-5*
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**Category**: *Activation function*
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**Short description**: HSigmoid takes one input tensor and produces output tensor where the hard version of sigmoid function is applied to the tensor elementwise.
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**Detailed description**: For each element from the input tensor calculates corresponding
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element in the output tensor with the following formula:
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\f[
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HSigmoid(x) = \frac{min(max(x + 3, 0), 6)}{6}
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\f]
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The HSigmoid operation is introduced in the following [article](https://arxiv.org/pdf/1905.02244.pdf).
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**Attributes**: operations has no attributes.
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**Inputs**:
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* **1**: A tensor of type *T*. **Required.**
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**Outputs**:
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* **1**: The resulting tensor of the same shape and type as input tensor.
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**Types**
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* *T*: any floating point type.
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**Examples**
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```xml
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<layer ... type="HSigmoid">
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<input>
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<port id="0">
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<dim>256</dim>
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</port>
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</input>
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<output>
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<port id="1">
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<dim>256</dim>
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</port>
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</output>
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</layer>
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```
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@ -65,6 +65,7 @@ declared in `namespace opset5`.
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* [GRUCell](sequence/GRUCell_3.md)
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* [GRUSequence](sequence/GRUSequence_5.md)
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* [HardSigmoid](activation/HardSigmoid_1.md)
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* [HSigmoid](activation/HSigmoid_5.md)
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* [HSwish](activation/HSwish_4.md)
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* [Interpolate](image/Interpolate_4.md)
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* [Less](comparison/Less_1.md)
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