Selu specification refactoring (#5039)

* Review spec of Selu operation

* Fix path for Selu op in opset files

* Remove unnecessary line in example

* Address review comments related to wording

docs/doxygen/ie_docs.xml

@@ -234,7 +234,7 @@ limitations under the License.
                 <tab type="user" title="ScatterNDUpdate" url="@ref openvino_docs_ops_movement_ScatterNDUpdate_3"/>
                 <tab type="user" title="ScatterUpdate-3" url="@ref openvino_docs_ops_movement_ScatterUpdate_3"/>
                 <tab type="user" title="Select-1" url="@ref openvino_docs_ops_condition_Select_1"/>
-                <tab type="user" title="Selu-1" url="@ref openvino_docs_ops_arithmetic_Selu_1"/>
+                <tab type="user" title="Selu-1" url="@ref openvino_docs_ops_activation_Selu_1"/>
                 <tab type="user" title="ShapeOf-1" url="@ref openvino_docs_ops_shape_ShapeOf_1"/>
                 <tab type="user" title="ShapeOf-3" url="@ref openvino_docs_ops_shape_ShapeOf_3"/>
                 <tab type="user" title="ShuffleChannels-1" url="@ref openvino_docs_ops_movement_ShuffleChannels_1"/>

docs/ops/activation/Selu_1.md

@@ -0,0 +1,71 @@
+## Selu <a name="Selu"></a> {#openvino_docs_ops_activation_Selu_1}
+
+**Versioned name**: *Selu-1*
+
+**Category**: *Activation function*
+
+**Short description**: *Selu* is a scaled exponential linear unit element-wise activation function.
+
+**Detailed Description**
+
+*Selu* operation is introduced in this [article](https://arxiv.org/abs/1706.02515), as activation function for self-normalizing neural networks (SNNs).
+
+*Selu* performs element-wise activation function on a given input tensor `data`, based on the following mathematical formula:
+
+\f[
+Selu(x) = \lambda \left\{\begin{array}{r}
+    x \quad \mbox{if } x >  0 \\
+    \alpha(e^{x} - 1) \quad \mbox{if } x \le 0
+\end{array}\right.
+\f]
+
+where α and λ correspond to inputs `alpha` and `lambda` respectively.
+
+Another mathematical representation that may be found in other references:
+
+\f[
+Selu(x) = \lambda\cdot\big(\max(0, x) + \min(0, \alpha(e^{x}-1))\big)
+\f]
+
+**Attributes**: *Selu* operation has no attributes.
+
+**Inputs**
+
+* **1**: `data`. A tensor of type `T` and arbitrary shape. **Required.**
+
+* **2**: `alpha`. 1D tensor with one element of type `T`. **Required.**
+
+* **3**: `lambda`. 1D tensor with one element of type `T`. **Required.**
+
+**Outputs**
+
+* **1**: The result of element-wise *Selu* function applied to `data` input tensor. A tensor of type `T` and the same shape as `data` input tensor.
+
+**Types**
+
+* *T*: arbitrary supported floating-point type.
+
+**Example**
+
+```xml
+<layer ... type="Selu">
+    <input>
+        <port id="0">
+            <dim>256</dim>
+            <dim>56</dim>
+        </port>
+        <port id="1">
+            <dim>1</dim>
+        </port>
+        <port id="2">
+            <dim>1</dim>
+        </port>
+    </input>
+    <output>
+        <port id="3">
+            <dim>256</dim>
+            <dim>56</dim>
+        </port>
+    </output>
+</layer>
+```

docs/ops/arithmetic/Selu_1.md

@@ -1,65 +0,0 @@
-## Selu <a name="Selu"></a> {#openvino_docs_ops_arithmetic_Selu_1}
-
-**Versioned name**: *Selu-1*
-
-**Category**: Arithmetic unary operation
-
-**Short description**: *Selu* calculates the SELU activation function (https://arxiv.org/abs/1706.02515) element-wise with given tensor.
-
-**Detailed Description**
-
-For each element from the input tensor calculates corresponding
-element in the output tensor with the following formula:
-\f[
-selu(x) = \lambda \left\{\begin{array}{ll}
-    \alpha(e^{x} - 1) \quad \mbox{if } x \le 0 \\
-    x \quad \mbox{if } x >  0
-\end{array}\right.
-\f]
-
-**Attributes**:
-
-    No attributes available.
-
-**Inputs**
-
-* **1**: An tensor of type T. **Required.**
-
-* **2**: `alpha` 1D tensor with one element of type T. **Required.**
-
-* **3**: `lambda` 1D tensor with one element of type T. **Required.**
-
-**Outputs**
-
-* **1**: The result of element-wise operation. A tensor of type T.
-
-**Types**
-
-* *T*: any supported floating point type.
-
-**Examples**
-
-*Example 1*
-
-```xml
-<layer ... type="Selu">
-    <input>
-        <port id="0">
-            <dim>256</dim>
-            <dim>56</dim>
-        </port>
-        <port id="1">
-            <dim>1</dim>
-        </port>
-        <port id="2">
-            <dim>1</dim>
-        </port>
-    </input>
-    <output>
-        <port id="3">
-            <dim>256</dim>
-            <dim>56</dim>
-        </port>
-    </output>
-</layer>
-```

docs/ops/opset1.md

@@ -93,7 +93,7 @@ declared in `namespace opset1`.
 * [Result](infrastructure/Result_1.md)
 * [ReverseSequence](movement/ReverseSequence_1.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)
 * [Sign](arithmetic/Sign_1.md)

docs/ops/opset2.md

@@ -98,7 +98,7 @@ declared in `namespace opset2`.
 * [ReverseSequence](movement/ReverseSequence_1.md)
 * [ROIPooling](detection/ROIPooling_1.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)
 * [Sign](arithmetic/Sign_1.md)

docs/ops/opset3.md

@@ -113,7 +113,7 @@ declared in `namespace opset3`.
 * [ScatterElementsUpdate](movement/ScatterElementsUpdate_3.md)
 * [ScatterUpdate](movement/ScatterUpdate_3.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_3.md)
 * [ShuffleChannels](movement/ShuffleChannels_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)

docs/ops/opset4.md

@@ -121,7 +121,7 @@ declared in `namespace opset4`.
 * [ScatterNDUpdate](movement/ScatterNDUpdate_3.md)
 * [ScatterUpdate](movement/ScatterUpdate_3.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_3.md)
 * [ShuffleChannels](movement/ShuffleChannels_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)

docs/ops/opset5.md

@@ -129,7 +129,7 @@ declared in `namespace opset5`.
 * [ScatterNDUpdate](movement/ScatterNDUpdate_3.md)
 * [ScatterUpdate](movement/ScatterUpdate_3.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_3.md)
 * [ShuffleChannels](movement/ShuffleChannels_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)

docs/ops/opset6.md

@@ -135,7 +135,7 @@ declared in `namespace opset6`.
 * [ScatterNDUpdate](movement/ScatterNDUpdate_3.md)
 * [ScatterUpdate](movement/ScatterUpdate_3.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_3.md)
 * [ShuffleChannels](movement/ShuffleChannels_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)

docs/ops/opset7.md

@@ -138,7 +138,7 @@ declared in `namespace opset7`.
 * [ScatterNDUpdate](movement/ScatterNDUpdate_3.md)
 * [ScatterUpdate](movement/ScatterUpdate_3.md)
 * [Select](condition/Select_1.md)
-* [Selu](arithmetic/Selu_1.md)
+* [Selu](activation/Selu_1.md)
 * [ShapeOf](shape/ShapeOf_3.md)
 * [ShuffleChannels](movement/ShuffleChannels_1.md)
 * [Sigmoid](activation/Sigmoid_1.md)