Fixed coverity issues for core componets (#9558)

* Fixed coverity issues for core componets

* Fixed some tests

src/core/include/openvino/op/batch_norm.hpp

@@ -48,7 +48,7 @@ private:
     static constexpr size_t INPUT_MEAN = 3;
     static constexpr size_t INPUT_VARIANCE = 4;
 
-    double m_epsilon;
+    double m_epsilon{0};
 };
 }  // namespace v0
 namespace v5 {
@@ -89,7 +89,7 @@ private:
     static constexpr size_t INPUT_MEAN = 3;
     static constexpr size_t INPUT_VARIANCE = 4;
 
-    double m_epsilon;
+    double m_epsilon{0};
 };
 }  // namespace v5
 }  // namespace op

src/core/include/openvino/op/bucketize.hpp

@@ -51,7 +51,7 @@ public:
 
 private:
     element::Type m_output_type;
-    bool m_with_right_bound;
+    bool m_with_right_bound{true};
 };
 }  // namespace v3
 }  // namespace op

src/core/include/openvino/op/constant.hpp

@@ -709,7 +709,7 @@ private:
     element::Type m_element_type;
     Shape m_shape{};
     std::shared_ptr<ngraph::runtime::AlignedBuffer> m_data;
-    bool m_all_elements_bitwise_identical;
+    bool m_all_elements_bitwise_identical = false;
     bool m_alloc_buffer_on_visit_attributes = true;
 };
 }  // namespace v0

src/core/include/openvino/op/ctc_greedy_decoder.hpp

@@ -31,7 +31,7 @@ public:
     }
 
 private:
-    bool m_ctc_merge_repeated;
+    bool m_ctc_merge_repeated{true};
 };
 }  // namespace v0
 }  // namespace op

src/core/include/openvino/op/ctc_greedy_decoder_seq_len.hpp

@@ -92,7 +92,7 @@ public:
     }
 
 private:
-    bool m_merge_repeated;
+    bool m_merge_repeated{true};
     element::Type m_classes_index_type{element::i32};
     element::Type m_sequence_length_type{element::i32};
 };

src/core/include/openvino/op/deformable_convolution.hpp

@@ -166,7 +166,7 @@ public:
     }
 
 private:
-    bool m_bilinear_interpolation_pad;
+    bool m_bilinear_interpolation_pad{false};
 };
 }  // namespace v8
 }  // namespace op

src/core/include/openvino/op/deformable_psroi_pooling.hpp

@@ -94,8 +94,8 @@ public:
     }
 
 private:
-    int64_t m_output_dim;
-    float m_spatial_scale;
+    int64_t m_output_dim{0};
+    float m_spatial_scale{0};
     int64_t m_group_size = 1;
     std::string m_mode = "bilinear_deformable";
     int64_t m_spatial_bins_x = 1;

src/core/include/openvino/op/elu.hpp

@@ -35,7 +35,7 @@ public:
     }
 
 private:
-    double m_alpha;
+    double m_alpha{0};
 };
 }  // namespace v0
 }  // namespace op

src/core/include/openvino/op/experimental_detectron_topkrois.hpp

@@ -39,7 +39,7 @@ public:
     }
 
 private:
-    size_t m_max_rois;
+    size_t m_max_rois{0};
 
     template <class T>
     friend void shape_infer(ExperimentalDetectronTopKROIs* op,

src/core/include/openvino/op/extractimagepatches.hpp

@@ -64,7 +64,7 @@ private:
     Shape m_patch_sizes;
     Strides m_patch_movement_strides;
     Shape m_patch_selection_rates;
-    PadType m_padding;
+    PadType m_padding{PadType::EXPLICIT};
     template <class T>
     friend void shape_infer(const ExtractImagePatches* op,
                             const std::vector<T>& input_shapes,

src/core/include/openvino/op/gather_elements.hpp

@@ -33,7 +33,7 @@ public:
     }
 
 private:
-    int64_t m_axis;
+    int64_t m_axis{0};
     template <class T>
     void friend shape_infer(const GatherElements* op,
                             const std::vector<T>& input_shapes,

src/core/include/openvino/op/lstm_sequence.hpp

@@ -191,7 +191,7 @@ public:
     }
 
 private:
-    direction m_direction;
+    direction m_direction{direction::FORWARD};
 };
 }  // namespace v5
 }  // namespace op

src/core/include/openvino/op/pad.hpp

@@ -74,7 +74,7 @@ public:
     bool has_evaluate() const override;
 
 private:
-    PadMode m_pad_mode;
+    PadMode m_pad_mode{PadMode::CONSTANT};
     bool evaluate_pad(const HostTensorVector& outputs, const HostTensorVector& inputs) const;
 };
 }  // namespace v1

src/core/include/openvino/op/roi_pooling.hpp

@@ -45,7 +45,7 @@ public:
 
 private:
     Shape m_output_size{0, 0};
-    float m_spatial_scale;
+    float m_spatial_scale{0};
     std::string m_method = "max";
 };
 }  // namespace v0

src/core/include/openvino/op/round.hpp

@@ -44,7 +44,7 @@ public:
     }
 
 private:
-    RoundMode m_mode;
+    RoundMode m_mode{RoundMode::HALF_TO_EVEN};
 };
 }  // namespace v5
 }  // namespace op

src/core/shape_inference/include/detection_output_shape_inference.hpp

@@ -160,7 +160,7 @@ void shape_infer_base(const DetectionOutputBase* op,
         if (!num_prior_boxes && box_logits_pshape[1].is_static()) {
             auto box_logits_pshape_2nd_dim = box_logits_pshape[1].get_length();
             NODE_VALIDATION_CHECK(op,
-                                  (box_logits_pshape_2nd_dim % (num_loc_classes * 4)) == 0,
+                                  num_loc_classes != 0 && (box_logits_pshape_2nd_dim % (num_loc_classes * 4)) == 0,
                                   "Box logits' second dimension must be a multiply of num_loc_classes * 4 (",
                                   num_loc_classes * 4,
                                   "). Current value is: ",

src/core/shape_inference/include/einsum_shape_inference.hpp

@@ -71,7 +71,7 @@ void shape_infer(const Einsum* op, const std::vector<T>& input_shapes, std::vect
                                               label_to_shape[label].compatible(T{pshape[label_ind]}),
                                               "Different input dimensions indicated by the same labels for Einsum "
                                               "must be compatible.");
-                        T::merge_into(label_to_shape[label], T{pshape[dim_ind]});
+                        OPENVINO_ASSERT(T::merge_into(label_to_shape[label], T{pshape[dim_ind]}));
                     }
                     ++dim_ind;
                 }

src/core/shape_inference/include/lstm_cell_shape_inference.hpp

@@ -3,6 +3,7 @@
 //
 #pragma once
 #include <openvino/op/lstm_cell.hpp>
+
 #include "utils.hpp"
 
 namespace ov {
@@ -16,7 +17,7 @@ void lstm_shape_infer(const OpsType* op,
     using DimType = typename std::iterator_traits<typename ShapeType::iterator>::value_type;
     enum { X, initial_hidden_state, initial_cell_state, W, R, B };
     std::vector<bool> input_rank_static(6, false);
-    bool all_rank_dynamic = false;
+    bool all_rank_dynamic = true;
     bool all_rank_static = true;
     // Prepare OutShape
     auto& hidden_shape = output_shapes[0];
@@ -43,7 +44,7 @@ void lstm_shape_infer(const OpsType* op,
     bool is_hidden_init = false;
 
     // deduce batch/hidden_size
-    for (size_t i = 0; i < input_shapes.size() && i < 6 ; i++) {
+    for (size_t i = 0; i < input_shapes.size() && i < 6; i++) {
         const auto& input = input_shapes[i];
         if (input_rank_static[i]) {
             // batch could be deduced from x, cell_state or hidden_state
@@ -94,7 +95,9 @@ void lstm_shape_infer(const OpsType* op,
                         } else {
                             NODE_VALIDATION_CHECK(
                                 op,
-                                DimType::merge(output_hidden_size, output_hidden_size, input[0].get_length() / gates_count),
+                                DimType::merge(output_hidden_size,
+                                               output_hidden_size,
+                                               input[0].get_length() / gates_count),
                                 "Parameter hidden_size not matched for W, R, B, initial_hidden_state and "
                                 "initial_cell_state "
                                 "inputs.");
@@ -115,7 +118,9 @@ void lstm_shape_infer(const OpsType* op,
                         } else {
                             NODE_VALIDATION_CHECK(
                                 op,
-                                DimType::merge(output_hidden_size, output_hidden_size, input[0].get_length() / gates_count),
+                                DimType::merge(output_hidden_size,
+                                               output_hidden_size,
+                                               input[0].get_length() / gates_count),
                                 "Parameter hidden_size not matched for W, R, B, initial_hidden_state and "
                                 "initial_cell_state "
                                 "inputs.");
@@ -140,9 +145,7 @@ void lstm_shape_infer(const OpsType* op,
     // Check peepholes
     if (input_shapes.size() == 7) {
         const auto& p_pshape = input_shapes[6];
-        NODE_VALIDATION_CHECK(op,
-                              (p_pshape.rank().compatible(1)),
-                              "LSTMCell input tensor P shall have dimension 1D.");
+        NODE_VALIDATION_CHECK(op, (p_pshape.rank().compatible(1)), "LSTMCell input tensor P shall have dimension 1D.");
     }
 
     // check input size

src/core/shape_inference/include/proposal_shape_inference.hpp

@@ -66,7 +66,7 @@ void infer_prop_shape(const OpType* op,
     auto out_dim = DimType{};
 
     if (class_probs_ps.rank().is_static() && bbox_deltas_ps.rank().is_static()) {
-        DimType::merge(out_dim, class_probs_ps[0], bbox_deltas_ps[0]);
+        OPENVINO_ASSERT(DimType::merge(out_dim, class_probs_ps[0], bbox_deltas_ps[0]));
     } else if (class_probs_ps.rank().is_static()) {
         out_dim = class_probs_ps[0];
     } else if (bbox_deltas_ps.rank().is_static()) {

src/core/shape_inference/include/roi_align_shape_inference.hpp

@@ -62,7 +62,7 @@ void shape_infer(const ov::op::v3::ROIAlign* op, const std::vector<T>& input_sha
     // if either of those 2 dimensions is static its value will be used
     // for the first dimension of the output shape - 'NUM_ROIS'
     if (rois_ps_rank.is_static() && batch_indices_ps_rank.is_static()) {
-        DimType::merge(output_shape[0], batch_indices_ps[0], rois_ps[0]);
+        OPENVINO_ASSERT(DimType::merge(output_shape[0], batch_indices_ps[0], rois_ps[0]));
     } else if (rois_ps_rank.is_static()) {
         output_shape[0] = rois_ps[0];
     } else if (batch_indices_ps_rank.is_static()) {

src/frontends/common/src/manager.cpp

@@ -53,7 +53,7 @@ public:
         }
         // Load plugins until we found the right one
         for (auto& plugin : m_plugins) {
-            plugin.load();
+            OPENVINO_ASSERT(plugin.load(), "Cannot load frontend ", plugin.get_name_from_file());
             if (plugin.get_creator().m_name == framework) {
                 auto fe_obj = std::make_shared<FrontEnd>();
                 fe_obj->m_shared_object = plugin.get_so_pointer();