Merge remote-tracking branch 'upstream/master' into tj/rtti/matcher_p…

…ass_macro-transformations-op_convertions

.github/dockerfiles/docker_tag

@@ -1 +1 @@
-pr-27597
+pr-27882

.github/dockerfiles/ov_build/fedora_29/Dockerfile

@@ -3,7 +3,11 @@ FROM ${REGISTRY}/library/fedora:29
 
 USER root
 
-RUN yum update -y && yum install -y \
+# dnf configuration
+RUN echo "timeout=60" >> /etc/dnf/dnf.conf && \
+    echo "retries=10" >> /etc/dnf/dnf.conf
+
+RUN dnf update -y && dnf install -y \
     git \
     curl \
     python3 \

.github/dockerfiles/ov_test/fedora_33/Dockerfile

@@ -3,7 +3,11 @@ FROM ${REGISTRY}/library/fedora:33
 
 USER root
 
-RUN yum update -y && yum install -y \
+# dnf configuration
+RUN echo "timeout=60" >> /etc/dnf/dnf.conf && \
+    echo "retries=10" >> /etc/dnf/dnf.conf
+
+RUN dnf update -y && dnf install -y \
     git \
     curl \
     python3 \

.github/workflows/fedora_29.yml

@@ -131,10 +131,10 @@ jobs:
 
           # install previous release version
           mv /tmp/openvino-2023.repo /etc/yum.repos.d
-          yum install -y openvino
+          dnf install -y openvino
 
           # install current version
-          yum install --allowerasing -y *.rpm
+          dnf install --allowerasing -y *.rpm
         working-directory: ${{ env.RPM_PACKAGES_DIR }}
 
       - name: Test RPM packages

src/common/low_precision_transformations/include/low_precision/align_quantization_intervals.hpp

@@ -30,7 +30,7 @@ class LP_TRANSFORMATIONS_API AlignQuantizationIntervals;
  */
 class ov::pass::low_precision::AlignQuantizationIntervals : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("AlignQuantizationIntervals", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::AlignQuantizationIntervals");
     AlignQuantizationIntervals(const std::vector<ov::element::Type>& defaultPrecisions = ov::pass::low_precision::precision_set::get_int8_support());
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 private:

src/common/low_precision_transformations/include/low_precision/align_quantization_parameters.hpp

@@ -31,7 +31,7 @@ class LP_TRANSFORMATIONS_API AlignQuantizationParameters;
  */
 class ov::pass::low_precision::AlignQuantizationParameters : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("AlignQuantizationParameters", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::AlignQuantizationParameters");
     AlignQuantizationParameters(const std::vector<ov::element::Type> defaultPrecisions = ov::pass::low_precision::precision_set::get_int8_support());
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 private:

src/common/low_precision_transformations/include/low_precision/low_precision.hpp

@@ -42,7 +42,7 @@ class LP_TRANSFORMATIONS_API LowPrecision;
 
 class ov::pass::low_precision::MarkupOptimizations : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("MarkupOptimizations", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::MarkupOptimizations");
     MarkupOptimizations(
         const std::vector<PrecisionsRestriction>& precisionRestrictions,
         const std::vector<QuantizationGranularityRestriction>& quantizationRestrictions,
@@ -62,7 +62,7 @@ class ov::pass::low_precision::TypeRelaxedReplacer : public ov::pass::GraphRewri
 
 class LP_TRANSFORMATIONS_API ov::pass::low_precision::LowPrecision : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("LowPrecision", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::LowPrecision");
     LowPrecision(
         const std::vector<PrecisionsRestriction>& precisionRestrictions = {},
         const std::vector<QuantizationGranularityRestriction>& quantizationRestrictions = {},

src/common/low_precision_transformations/include/low_precision/markup_avg_pool_precision_preserved.hpp

@@ -29,7 +29,7 @@ class LP_TRANSFORMATIONS_API MarkupAvgPoolPrecisionPreserved;
  */
 class ov::pass::low_precision::MarkupAvgPoolPrecisionPreserved : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("MarkupAvgPoolPrecisionPreserved", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::MarkupAvgPoolPrecisionPreserved");
     MarkupAvgPoolPrecisionPreserved(const std::vector<ov::element::Type> defaultPrecisions = ov::pass::low_precision::precision_set::get_int8_support());
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 private:

src/common/low_precision_transformations/include/low_precision/markup_can_be_quantized.hpp

@@ -30,7 +30,7 @@ class LP_TRANSFORMATIONS_API MarkupCanBeQuantized;
  */
 class ov::pass::low_precision::MarkupCanBeQuantized : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("MarkupCanBeQuantized", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::MarkupCanBeQuantized");
     MarkupCanBeQuantized(const std::vector<ov::element::Type> defaultPrecisions = { ov::element::u8, ov::element::i8 });
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 private:

src/common/low_precision_transformations/include/low_precision/markup_precisions.hpp

@@ -36,6 +36,7 @@ class LP_TRANSFORMATIONS_API MarkupPrecisions;
  */
 class ov::pass::low_precision::MarkupPrecisions : public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("low_precision::MarkupPrecisions");
     class Restriction {
     public:
         class RestrictionByVersion {
@@ -65,7 +66,6 @@ class ov::pass::low_precision::MarkupPrecisions : public ov::pass::ModelPass {
         std::unordered_map<std::string, RestrictionByVersion> precisionsByVersion;
     };
 
-    OPENVINO_RTTI("MarkupPrecisions", "0");
     explicit MarkupPrecisions(const std::vector<PrecisionsRestriction>& restrictions = {},
         const std::vector<ov::element::Type>& defaultPrecisions = { ov::element::u8, ov::element::i8 });
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;

src/common/low_precision_transformations/include/low_precision/markup_quantization_granularity.hpp

@@ -34,6 +34,8 @@ class LP_TRANSFORMATIONS_API MarkupQuantizationGranularity;
  */
 class ov::pass::low_precision::MarkupQuantizationGranularity : public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("low_precision::MarkupQuantizationGranularity");
+
     class PerTensorQuantization {
     public:
         explicit PerTensorQuantization(const bool versionIsRequired) : versionIsRequired(versionIsRequired) {}
@@ -45,7 +47,6 @@ class ov::pass::low_precision::MarkupQuantizationGranularity : public ov::pass::
         std::unordered_map<std::string, std::vector<PortQuantizationGranularityRestriction>> portsByVersion;
     };
 
-    OPENVINO_RTTI("MarkupPerTensorQuantization", "0");
     explicit MarkupQuantizationGranularity(const std::vector<QuantizationGranularityRestriction>& restrictions = {});
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 

src/common/low_precision_transformations/include/low_precision/propagate_precisions.hpp

@@ -31,7 +31,7 @@ class LP_TRANSFORMATIONS_API PropagatePrecisions;
  */
 class ov::pass::low_precision::PropagatePrecisions : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("PropagatePrecisions", "0");
+    OPENVINO_MODEL_PASS_RTTI("low_precision::PropagatePrecisions");
     PropagatePrecisions(const AttributeParameters& params = AttributeParameters());
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 

src/common/low_precision_transformations/include/low_precision/propagate_shared_value.hpp

@@ -38,6 +38,7 @@ class LP_TRANSFORMATIONS_API PropagateSharedValue;
 template <class AttributeType>
 class ov::pass::low_precision::PropagateSharedValue : public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("low_precision::PropagateSharedValue");
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override {
         OV_ITT_SCOPE(FIRST_INFERENCE, itt::domains::LPT_LT, "PropagateSharedValue");
 

src/common/low_precision_transformations/tests/simple_low_precision_transformer.hpp

@@ -16,6 +16,7 @@
 
 class SimpleLowPrecisionTransformer : public ov::pass::ModelPass{
 public:
+    OPENVINO_MODEL_PASS_RTTI("SimpleLowPrecisionTransformer");
     SimpleLowPrecisionTransformer(
         const std::vector<ov::pass::low_precision::PrecisionsRestriction>& precisionRestrictions = {},
         const std::vector<ov::pass::low_precision::QuantizationGranularityRestriction>& quantizationRestrictions = {},

src/common/offline_transformations/include/pruning.hpp

@@ -67,7 +67,7 @@ class ov::pass::PropagateMasks : public ov::pass::GraphRewrite {
  */
 class ov::pass::ShrinkWeights : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("ShrinkWeights", "0");
+    OPENVINO_MODEL_PASS_RTTI("ShrinkWeights");
     bool run_on_model(const std::shared_ptr<ov::Model>&) override;
 };
 
@@ -77,6 +77,6 @@ class ov::pass::ShrinkWeights : public ov::pass::ModelPass {
  */
 class ov::pass::Pruning : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("Pruning", "0");
+    OPENVINO_MODEL_PASS_RTTI("Pruning");
     bool run_on_model(const std::shared_ptr<Model>&) override;
 };

src/common/snippets/include/snippets/pass/align_element_types.hpp

@@ -19,7 +19,7 @@ namespace pass {
  */
 class AlignElementTypes: public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("AlignElementTypes");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::AlignElementTypes");
     AlignElementTypes(std::vector<ov::element::Type> input_precisions,
                       std::vector<ov::element::Type> output_precisions);
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;

src/common/snippets/include/snippets/pass/analyze_broadcastable_inputs.hpp

@@ -21,7 +21,7 @@ namespace pass {
  */
 class AnalyzeBroadcastableInputs : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("AnalyzeBroadcastableInputs");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::AnalyzeBroadcastableInputs");
     // [Index of Parameter -> Index of broadcastable dimension from end]
     using BroadcastableInputsMap = std::map<size_t, size_t>;
     AnalyzeBroadcastableInputs(BroadcastableInputsMap& map);

src/common/snippets/include/snippets/pass/canonicalization.hpp

@@ -22,7 +22,7 @@ namespace pass {
  */
 class Canonicalization: public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("Canonicalization");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::Canonicalization");
     using BlockedShapeVector = op::Subgraph::BlockedShapeVector;
     using Layout = std::vector<size_t>;
     explicit Canonicalization(const BlockedShapeVector& blocked_input_shapes);

src/common/snippets/include/snippets/pass/fq_decomposition.hpp

@@ -80,6 +80,8 @@ class FakeQuantizeDecomposition : public ov::pass::MatcherPass {
  */
 class CommonFakeQuantizeDecomposition: public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::CommonFakeQuantizeDecomposition");
+
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 
     static bool is_supported_fq(const std::shared_ptr<const ov::op::v0::FakeQuantize>& fq);

src/common/snippets/include/snippets/pass/hash.hpp

@@ -18,7 +18,7 @@ namespace pass {
  */
 class Hash : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("HashPass", "0");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::Hash");
 
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override;
 

src/common/snippets/include/snippets/pass/propagate_precision.hpp

@@ -19,7 +19,7 @@ namespace pass {
  */
 class PropagatePrecision: public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("PropagatePrecision", "0");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::PropagatePrecision");
     PropagatePrecision(const std::shared_ptr<const TargetMachine>& target_machine);
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 

src/common/snippets/include/snippets/pass/tokenization.hpp

@@ -37,7 +37,7 @@ int64_t GetTopologicalOrder(const std::shared_ptr<const Node>&);
  */
 class EnumerateNodes : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("EnumerateNodes", "0");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::EnumerateNodes");
     EnumerateNodes() : ModelPass() {}
     bool run_on_model(const std::shared_ptr<ov::Model>&) override;
 };
@@ -59,6 +59,8 @@ class EnumerateNodes : public ov::pass::ModelPass {
  */
 class SnippetsTokenization : public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::SnippetsTokenization");
+
     /**
      * @interface Config
      * @brief Allow to adjust tokenization passes
@@ -123,7 +125,6 @@ class SnippetsTokenization : public ov::pass::ModelPass {
         std::set<size_t> m_mha_supported_transpose_ranks = { 3, 4 };
     };
 
-    OPENVINO_RTTI("SnippetsTokenization", "0");
     SnippetsTokenization(const Config& config) : m_config(config) {}
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 

src/common/snippets/include/snippets/pass/validate.hpp

@@ -17,7 +17,7 @@ namespace pass {
  */
 class Validate: public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("Validate", "0");
+    OPENVINO_MODEL_PASS_RTTI("snippets::pass::Validate");
     Validate(const std::shared_ptr<ov::pass::PassConfig>& pass_config) : m_pass_config(pass_config) {}
 
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;

src/common/transformations/include/transformations/common_optimizations/change_placeholder_types.hpp

@@ -20,7 +20,7 @@ class TRANSFORMATIONS_API ChangePlaceholderTypes;
  */
 class ChangePlaceholderTypes : public ModelPass {
 public:
-    OPENVINO_RTTI("ChangePlaceholderTypes", "0");
+    OPENVINO_MODEL_PASS_RTTI("ChangePlaceholderTypes");
     explicit ChangePlaceholderTypes(const std::vector<std::string>& params_with_custom_types)
         : m_params_with_custom_types(params_with_custom_types) {}
     bool run_on_model(const std::shared_ptr<ov::Model>& model) override;

src/common/transformations/include/transformations/common_optimizations/common_optimizations.hpp

@@ -20,6 +20,6 @@ class TRANSFORMATIONS_API CommonOptimizations;
 
 class ov::pass::CommonOptimizations : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("CommonOptimizations", "0");
+    OPENVINO_MODEL_PASS_RTTI("CommonOptimizations");
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override;
 };

src/common/transformations/include/transformations/common_optimizations/dimension_tracking.hpp

@@ -22,7 +22,7 @@ class TRANSFORMATIONS_API FindBatch;
 
 class ov::pass::FindBatch : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("FindBatch");
+    OPENVINO_MODEL_PASS_RTTI("FindBatch");
     FindBatch(bool detach_detection_output = false, bool track = true)
         : track(track),
           detach_do(detach_detection_output) {}

src/common/transformations/include/transformations/common_optimizations/fused_names_cleanup.hpp

@@ -21,6 +21,6 @@ class TRANSFORMATIONS_API FusedNamesCleanup;
  */
 class ov::pass::FusedNamesCleanup : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("FusedNamesCleanup", "0");
+    OPENVINO_MODEL_PASS_RTTI("FusedNamesCleanup");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 };

src/common/transformations/include/transformations/common_optimizations/mark_precision_sensitive_shapeof_subgraphs.hpp

@@ -26,7 +26,7 @@ class TRANSFORMATIONS_API MarkShapeOfSubgraphs;
  */
 class ov::pass::MarkPrecisionSensitiveShapeOfSubgraphs : public ModelPass {
 public:
-    OPENVINO_RTTI("MarkPrecisionSensitiveShapeOfSubgraphs", "0");
+    OPENVINO_MODEL_PASS_RTTI("MarkPrecisionSensitiveShapeOfSubgraphs");
     MarkPrecisionSensitiveShapeOfSubgraphs();
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override;
 

src/common/transformations/include/transformations/common_optimizations/moc_legacy_transformations.hpp

@@ -32,7 +32,7 @@ namespace pass {
 
 class MOCLegacyTransformations : public ModelPass {
 public:
-    OPENVINO_RTTI("MOCLegacyTransformations", "0");
+    OPENVINO_MODEL_PASS_RTTI("MOCLegacyTransformations");
     explicit MOCLegacyTransformations(const std::vector<std::string>& params_with_custom_types)
         : m_params_with_custom_types(params_with_custom_types) {}
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override;

src/common/transformations/include/transformations/common_optimizations/moc_transformations.hpp

@@ -24,11 +24,9 @@ class TRANSFORMATIONS_API MOCTransformations;
  */
 
 class ov::pass::MOCTransformations : public ov::pass::ModelPass {
-    bool m_use_shapes;
-    bool m_low_precision_enabled;
-
 public:
-    OPENVINO_RTTI("MOCTransformations", "0");
+    OPENVINO_MODEL_PASS_RTTI("MOCTransformations");
+
     /**
      * use_shapes = True enables transformations which are depends on shapes and also it
      * enables ConstantFolding for all ShapeOf operations.
@@ -41,4 +39,8 @@ class ov::pass::MOCTransformations : public ov::pass::ModelPass {
           m_low_precision_enabled(low_precision_enabled) {}
 
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
+
+private:
+    bool m_use_shapes;
+    bool m_low_precision_enabled;
 };

src/common/transformations/include/transformations/common_optimizations/optimize_strided_slice.hpp

@@ -29,7 +29,7 @@ class TRANSFORMATIONS_API SliceSequenceToSingleSlice;
  */
 class ov::pass::UselessSliceEraser : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("UselessSliceEraser", "0");
+    OPENVINO_MODEL_PASS_RTTI("UselessSliceEraser");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 };
 
@@ -41,7 +41,7 @@ class ov::pass::UselessSliceEraser : public ov::pass::ModelPass {
  */
 class ov::pass::GroupedStridedSliceOptimizer : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("GroupedStridedSliceOptimizer", "0");
+    OPENVINO_MODEL_PASS_RTTI("GroupedStridedSliceOptimizer");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 };
 
@@ -53,7 +53,7 @@ class ov::pass::GroupedStridedSliceOptimizer : public ov::pass::ModelPass {
  */
 class ov::pass::GroupedSliceToVSplitOptimization : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("GroupedSliceToVSplitOptimization", "0");
+    OPENVINO_MODEL_PASS_RTTI("GroupedSliceToVSplitOptimization");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 };
 
@@ -82,9 +82,9 @@ class ov::pass::SliceSequenceToSingleSlice : public ov::pass::MatcherPass {
  */
 class ov::pass::StridedSliceOptimization : public ov::pass::ModelPass {
 public:
+    OPENVINO_MODEL_PASS_RTTI("StridedSliceOptimization");
     StridedSliceOptimization(bool use_shapes = true);
 
-    OPENVINO_RTTI("StridedSliceOptimization", "0");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 
 private:

src/common/transformations/include/transformations/common_optimizations/push_constant_to_subgraph.hpp

@@ -17,7 +17,7 @@ namespace pass {
  */
 class TRANSFORMATIONS_API PushConstantToSubgraph : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("PushConstantToSubgraph", "0");
+    OPENVINO_MODEL_PASS_RTTI("PushConstantToSubgraph");
     bool run_on_model(const std::shared_ptr<Model>& model) override;
 };
 

src/common/transformations/include/transformations/common_optimizations/remove_multi_subgraph_op_dangling_params.hpp

@@ -23,6 +23,6 @@ class TRANSFORMATIONS_API RemoveMultiSubGraphOpDanglingParamsResults;
 
 class ov::pass::RemoveMultiSubGraphOpDanglingParamsResults : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("RemoveMultiSubGraphOpDanglingParamsResults", "0");
+    OPENVINO_MODEL_PASS_RTTI("RemoveMultiSubGraphOpDanglingParamsResults");
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
 };

src/common/transformations/include/transformations/common_optimizations/reverse_shape_and_type_infer.hpp

@@ -20,7 +20,7 @@ class TRANSFORMATIONS_API ReverseShapeAndTypeInfer;
  */
 class ov::pass::ReverseShapeAndTypeInfer : public ov::pass::ModelPass {
 public:
-    OPENVINO_RTTI("ReverseShapeAndTypeInfer", "0");
+    OPENVINO_MODEL_PASS_RTTI("ReverseShapeAndTypeInfer");
     bool run_on_model(const std::shared_ptr<ov::Model>& f) override;
 
 private: