Added group for transformation passes

src/core/include/openvino/core/core_visibility.hpp

@@ -28,6 +28,10 @@
  * @ingroup ov_cpp_api
  * OpenVINO C++ API to work with operation sets
  *
+ * @defgroup ov_pass_cpp_api Transformation passes
+ * @ingroup ov_cpp_api
+ * OpenVINO C++ API to work with OpenVINO transformations
+ *
  * @defgroup ov_runtime_cpp_api Inference
  * @ingroup ov_cpp_api
  * OpenVINO Inference C++ API provides ov::Core, ov::CompiledModel, ov::InferRequest

src/core/include/openvino/pass/constant_folding.hpp

@@ -14,6 +14,7 @@ namespace pass {
  * @brief Constant folding iterates over the function and tries to evaluate nodes
  *        with constant inputs. Such nodes are then replaced with new Constants containing
  *        the result of a folded operation.
+ * @ingroup ov_pass_cpp_api
  */
 class OPENVINO_API ConstantFolding : public ModelPass {
 public:
@@ -36,6 +37,7 @@ class OPENVINO_API ConstantFolding : public ModelPass {
  *        consumer)
  *        2. If node with disable_constant_folding was replaced with another node, the attribute will be lost because
  *        it is not copyable.
+ * @ingroup ov_pass_cpp_api
  */
 OPENVINO_API void disable_constant_folding(const std::shared_ptr<Node>& node);
 

src/core/include/openvino/pass/convert_fp32_to_fp16.hpp

@@ -8,6 +8,10 @@
 
 namespace ov {
 namespace pass {
+/**
+ * @brief ConvertFP32ToFP16 transformation
+ * @ingroup ov_pass_cpp_api
+ */
 class OPENVINO_API ConvertFP32ToFP16 : public ModelPass {
 public:
     OPENVINO_RTTI("ConvertFP32ToFP16");

src/core/include/openvino/pass/graph_rewrite.hpp

@@ -40,7 +40,7 @@ namespace pass {
 /// or has ov::pass::pattern::op::WrapType. That will help GraphRewrite to execute matcher
 /// passes more
 /// efficient.
-
+/// \ingroup ov_pass_cpp_api
 class OPENVINO_API MatcherPass : public PassBase {
 public:
     OPENVINO_RTTI("ov::pass::MatcherPass");
@@ -116,7 +116,7 @@ class OPENVINO_API MatcherPass : public PassBase {
 /// or has ov::pattern::op::WrapType. That will help GraphRewrite to execute matcher
 /// passes more
 /// efficient.
-
+/// \ingroup ov_pass_cpp_api
 class OPENVINO_API GraphRewrite : public ModelPass {
 public:
     OPENVINO_RTTI("ov::pass::GraphRewrite");

src/core/include/openvino/pass/low_latency.hpp

@@ -32,6 +32,7 @@ namespace pass {
  *                                                                       ->...
  * After applying the transformation, the resulting network can be inferred
  * step by step, the states will store between inferences.
+ * @ingroup ov_pass_cpp_api
  */
 class OPENVINO_API LowLatency2 : public ModelPass {
 public:

src/core/include/openvino/pass/make_stateful.hpp

@@ -15,6 +15,7 @@ namespace pass {
 /**
  * @brief The transformation replaces the provided pairs Parameter and Result with ngraph Memory layers
  * ReadValue and Assign
+ * \ingroup ov_pass_cpp_api
  */
 class OPENVINO_API MakeStateful : public ModelPass {
 public:

src/core/include/openvino/pass/manager.hpp

@@ -14,6 +14,10 @@
 
 namespace ov {
 namespace pass {
+/**
+ * @brief Manager class allows to manage transformation passes
+ * @ingroup ov_pass_cpp_api
+ */
 class OPENVINO_API Manager {
 public:
     Manager();

src/core/include/openvino/pass/pass.hpp

@@ -26,6 +26,10 @@ enum class PassProperty : uint32_t {
 
 using PassPropertyMask = ov::EnumMask<PassProperty>;
 
+/**
+ * @brief Base class for transformation passes
+ * @ingroup ov_pass_cpp_api
+ */
 class OPENVINO_API PassBase {
     friend class Manager;
 
@@ -87,6 +91,10 @@ class OPENVINO_API PassBase {
     std::shared_ptr<PassConfig> m_pass_config;
 };
 
+/**
+ * @brief Base class for Model passes
+ * @ingroup ov_pass_cpp_api
+ */
 class OPENVINO_API ModelPass : public PassBase {
 public:
     OPENVINO_RTTI("ov::pass::ModelPass");

src/core/include/openvino/pass/pass_config.hpp

@@ -54,6 +54,7 @@ using param_callback_map = std::map<ov::DiscreteTypeInfo, param_callback>;
 ///
 /// Following this logic inside your transformations you will guaranty that transformations
 /// will be executed in a right way.
+/// \ingroup ov_pass_cpp_api
 class OPENVINO_API PassConfig {
 public:
     /// \brief Disable transformation by its type_info

src/core/include/openvino/pass/serialize.hpp

@@ -21,6 +21,7 @@ namespace pass {
  * - order of generated layers in xml file is ngraph specific (given by
  * get_ordered_ops()); MO generates file with different order, but they are
  * logically equivalent
+ * \ingroup ov_pass_cpp_api
  */
 class OPENVINO_API Serialize : public ov::pass::ModelPass {
 public:
@@ -60,6 +61,7 @@ class OPENVINO_API Serialize : public ov::pass::ModelPass {
  * @brief StreamSerialize transformation converts ngraph::Function into single binary stream
  * @attention
  * - dynamic shapes are not supported
+ * \ingroup ov_pass_cpp_api
  */
 class OPENVINO_API StreamSerialize : public ov::pass::ModelPass {
 public:

src/core/include/openvino/pass/validate.hpp

@@ -21,6 +21,7 @@ namespace pass {
 /// pass does not break the shape and data type requirement on a computation node.
 /// This default validation run can be changed via calling the
 /// \link ov::pass::Manager::set_per_pass_validation(bool) \endlink function.
+/// \ingroup ov_pass_cpp_api
 class OPENVINO_API Validate : public ModelPass {
 public:
     OPENVINO_RTTI("ov::pass::Validate");

src/core/include/openvino/pass/visualize_tree.hpp

@@ -22,6 +22,10 @@ using visualize_tree_ops_map_t =
 
 namespace ov {
 namespace pass {
+/**
+ * @brief VisualizeTree pass allows to serialize ov::Model to xDot format
+ * @ingroup ov_pass_cpp_api
+ */
 class OPENVINO_API VisualizeTree : public ModelPass {
 public:
     OPENVINO_RTTI("ov::pass::VisualizeTree");