DOCS shift to rst - Opsets E for master (#17363)

openvinotoolkit · May 5, 2023 · 175e169 · 175e169
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diff --git a/docs/ops/activation/Elu_1.md b/docs/ops/activation/Elu_1.md
@@ -1,5 +1,7 @@
 # Elu {#openvino_docs_ops_activation_Elu_1}
 
+@sphinxdirective
+
 **Versioned name**: *Elu-1*
 
 **Category**: *Activation function*
@@ -8,15 +10,16 @@
 
 **Detailed Description**
 
-*Elu* operation is introduced in this [article](https://arxiv.org/abs/1511.07289v3).
+*Elu* operation is introduced in this `article <https://arxiv.org/abs/1511.07289v3>`__.
 It performs element-wise activation function on a given input tensor, based on the following mathematical formula:
 
-\f[
-Elu(x) = \left\{\begin{array}{r}
-    x \qquad \mbox{if } x >  0 \\
-    \alpha(e^{x} - 1) \quad \mbox{if } x \leq 0
-\end{array}\right.
-\f]
+.. math::
+
+   Elu(x) = \left\begin{array}{r}
+       x \qquad \mbox{if } x >  0 \\
+       \alpha(e^{x} - 1) \quad \mbox{if } x \leq 0
+   \end{array}\right.
+
 
 where α corresponds to *alpha* attribute.
 
@@ -28,37 +31,39 @@ where α corresponds to *alpha* attribute.
 
   * **Description**: scale for the negative factor
   * **Range of values**: non-negative arbitrary floating-point number
-  * **Type**: `float`
+  * **Type**: ``float``
   * **Required**: *yes*
 
 **Inputs**:
 
-*   **1**: A tensor of type *T* and arbitrary shape. **Required.**
+* **1**: A tensor of type *T* and arbitrary shape. **Required.**
 
 **Outputs**:
 
-*   **1**: The result of element-wise *Elu* function applied to the input tensor. A tensor of type *T* and the same shape as input tensor.
+* **1**: The result of element-wise *Elu* function applied to the input tensor. A tensor of type *T* and the same shape as input tensor.
 
 **Types**
 
 * *T*: arbitrary supported floating-point type.
 
 **Example**
 
-```xml
-<layer ... type="Elu">
-    <data alpha="1.0"/>
-    <input>
-        <port id="0">
-            <dim>1</dim>
-            <dim>128</dim>
-        </port>
-    </input>
-    <output>
-        <port id="1">
-            <dim>1</dim>
-            <dim>128</dim>
-        </port>
-    </output>
-</layer>
-```
+.. code-block:: cpp
+
+   <layer ... type="Elu">
+       <data alpha="1.0"/>
+       <input>
+           <port id="0">
+               <dim>1</dim>
+               <dim>128</dim>
+           </port>
+       </input>
+       <output>
+           <port id="1">
+               <dim>1</dim>
+               <dim>128</dim>
+           </port>
+       </output>
+   </layer>
+
+@endsphinxdirective
diff --git a/docs/ops/activation/Exp_1.md b/docs/ops/activation/Exp_1.md
@@ -1,5 +1,7 @@
 # Exp {#openvino_docs_ops_activation_Exp_1}
 
+@sphinxdirective
+
 **Versioned name**: *Exp-1*
 
 **Category**: *Activation function*
@@ -10,39 +12,42 @@
 
 *Exp* performs element-wise exponential activation function on a given input tensor. The mathematical formula is as follows:
 
-\f[
-exp(x) = e^{x}
-\f]
+.. math::
+   
+   exp(x) = e^{x}
 
 **Attributes**: *Exp* operation has no attributes.
 
 **Inputs**
 
-*   **1**: A tensor of type *T* and arbitrary shape. **Required.**
+* **1**: A tensor of type *T* and arbitrary shape. **Required.**
 
 **Outputs**
 
-*   **1**: The result of element-wise *Exp* function applied to the input tensor. A tensor of type *T* and the same shape as input tensor.
+* **1**: The result of element-wise *Exp* function applied to the input tensor. A tensor of type *T* and the same shape as input tensor.
 
 **Types**
 
 * *T*: arbitrary supported floating-point type.
 
 **Example**
 
-```xml
-<layer ... type="Exp">
-    <input>
-        <port id="0">
-            <dim>1</dim>
-            <dim>256</dim>
-        </port>
-    </input>
-    <output>
-        <port id="1">
-            <dim>1</dim>
-            <dim>256</dim>
-        </port>
-    </output>
-</layer>
-```
+.. code-block:: cpp
+
+   <layer ... type="Exp">
+       <input>
+           <port id="0">
+               <dim>1</dim>
+               <dim>256</dim>
+           </port>
+       </input>
+       <output>
+           <port id="1">
+               <dim>1</dim>
+               <dim>256</dim>
+           </port>
+       </output>
+   </layer>
+
+@endsphinxdirective
+
diff --git a/docs/ops/arithmetic/Abs_1.md b/docs/ops/arithmetic/Abs_1.md
@@ -35,7 +35,7 @@ No attributes available.
 
 *Example 1*
 
-.. code-block:: console
+.. code-block:: cpp
 
     <layer ... type="Abs">
         <input>

diff --git a/docs/ops/arithmetic/Acos_1.md b/docs/ops/arithmetic/Acos_1.md
@@ -34,7 +34,7 @@ No attributes available.
 
 *Example 1*
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Acos">
        <input>

diff --git a/docs/ops/arithmetic/Acosh_3.md b/docs/ops/arithmetic/Acosh_3.md
@@ -30,7 +30,7 @@
 
 **Examples**
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Acosh">
        <input>

diff --git a/docs/ops/arithmetic/Add_1.md b/docs/ops/arithmetic/Add_1.md
@@ -49,7 +49,7 @@ After broadcasting *Add* performs addition operation for the input tensors *a* a
 
 *Example 1*
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Add">
        <data auto_broadcast="none"/>

diff --git a/docs/ops/arithmetic/Asin_1.md b/docs/ops/arithmetic/Asin_1.md
@@ -34,7 +34,7 @@ No attributes available.
 
 *Example 1*
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Asin">
        <input>

diff --git a/docs/ops/arithmetic/Asinh_3.md b/docs/ops/arithmetic/Asinh_3.md
@@ -30,7 +30,7 @@
 
 **Example**
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Asinh">
        <input>

diff --git a/docs/ops/arithmetic/Atan_1.md b/docs/ops/arithmetic/Atan_1.md
@@ -30,7 +30,7 @@
 
 **Examples**
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Atan">
        <input>

diff --git a/docs/ops/arithmetic/Atanh_3.md b/docs/ops/arithmetic/Atanh_3.md
@@ -45,7 +45,7 @@ Unsigned Intragral type put:
 
 **Examples**
 
-.. code-block:: console
+.. code-block:: cpp
 
    <layer ... type="Atanh">
        <input>

diff --git a/docs/ops/arithmetic/Erf_1.md b/docs/ops/arithmetic/Erf_1.md
@@ -1,5 +1,7 @@
 # Erf {#openvino_docs_ops_arithmetic_Erf_1}
 
+@sphinxdirective
+
 **Versioned name**: *Erf-1*
 
 **Category**: *Arithmetic unary*
@@ -10,9 +12,9 @@
 
 *Erf* performs element-wise erf operation on a given input tensor, based on the following mathematical formula:
 
-\f[
-erf(x) = \pi^{-1} \int_{-x}^{x} e^{-t^2} dt
-\f]
+.. math::
+   
+   erf(x) = \pi^{-1} \int_{-x}^{x} e^{-t^2} dt
 
 **Attributes**: *Erf* operation has no attributes.
 
@@ -28,22 +30,24 @@ erf(x) = \pi^{-1} \int_{-x}^{x} e^{-t^2} dt
 
 * *T*: any supported numeric type.
 
-
 **Example**
 
-```xml
-<layer ... type="Erf">
-    <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>
-```
+.. code-block:: cpp
+
+   <layer ... type="Erf">
+       <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>
+
+@endsphinxdirective
+