[Coverity] fix uninitialized scalar field (#18751)

* fix Uninitialized scalar variable

* fix CVS-116194

* a few fix

* fix Uninitialized scalar variable

* fix CVS-116194

* a few fix

* rm dead code

src/plugins/intel_gpu/include/intel_gpu/primitives/gather_elements.hpp

@@ -73,7 +73,7 @@ struct gather_elements : public primitive_base<gather_elements> {
 
     void load(BinaryInputBuffer& ib) override {
         primitive_base<gather_elements>::load(ib);
-        format::type tmp_type;
+        format::type tmp_type = format::type::any;
         ib >> make_data(&tmp_type, sizeof(format::type));
         output_format = format(tmp_type);
         ib >> output_shape;

src/plugins/intel_gpu/include/intel_gpu/primitives/random_uniform.hpp

@@ -81,7 +81,7 @@ struct random_uniform : public primitive_base<random_uniform> {
         ib >> *const_cast<uint64_t*>(&global_seed);
         ib >> *const_cast<uint64_t*>(&op_seed);
         ib >> *const_cast<tensor*>(&output_shape);
-        format::type tmp_type;
+        format::type tmp_type = format::type::any;
         ib >> make_data(&tmp_type, sizeof(format::type));
         *const_cast<format*>(&output_format) = format(tmp_type);
     }

src/plugins/intel_gpu/src/graph/impls/cpu/activation.cpp

@@ -52,8 +52,8 @@ struct activation_impl : public typed_primitive_impl<activation> {
     using parent = typed_primitive_impl<activation>;
     using parent::parent;
 
-    activation_func activation_function;
-    activation_additional_params additional_params;
+    activation_func activation_function = activation_func::none;
+    activation_additional_params additional_params = {0.f, 0.f};
 
     std::shared_ptr<ov::op::Op> op;
 

src/plugins/intel_gpu/src/graph/impls/cpu/concat.cpp

@@ -17,7 +17,7 @@ struct concatenation_impl : public typed_primitive_impl<concatenation> {
     using parent = typed_primitive_impl<concatenation>;
     using parent::parent;
 
-    int64_t axis;
+    int64_t axis = 0;
 
     std::shared_ptr<ov::op::v0::Concat> op;
 

src/plugins/intel_gpu/src/graph/impls/cpu/eltwise.cpp

@@ -39,7 +39,7 @@ struct eltwise_impl : public typed_primitive_impl<eltwise> {
     using parent = typed_primitive_impl<eltwise>;
     using parent::parent;
 
-    eltwise_mode mode;
+    eltwise_mode mode = eltwise_mode::sum;
     std::vector<float> coefficients;
 
     std::shared_ptr<ov::op::Op> op;

src/plugins/intel_gpu/src/graph/impls/cpu/gather.cpp

@@ -17,8 +17,8 @@ struct gather_impl : public typed_primitive_impl<gather> {
     using parent = typed_primitive_impl<gather>;
     using parent::parent;
 
-    int64_t axis;
-    int64_t batch_dims;
+    int64_t axis = 0;
+    int64_t batch_dims = 0;
 
     std::shared_ptr<ov::op::v8::Gather> op;
 

src/plugins/intel_gpu/src/graph/impls/cpu/scatter_update.cpp

@@ -17,7 +17,7 @@ struct scatter_update_impl : public typed_primitive_impl<scatter_update> {
     using parent = typed_primitive_impl<scatter_update>;
     using parent::parent;
 
-    int64_t axis;
+    int64_t axis = 0;
 
     std::shared_ptr<ov::op::v3::ScatterUpdate> op;
 

src/plugins/intel_gpu/src/graph/layout_optimizer.cpp

@@ -1204,22 +1204,7 @@ format layout_optimizer::get_expected_format(quantize_node const& node) {
     } else if (layout.is_static() && layout.format.spatial_num() == 2 &&
                 (layout.data_type == data_types::i8 || layout.data_type == data_types::u8) &&
                 layout.batch() % 16 == 0) {
-        if (use_onednn_impls && layout.batch() % 32 == 0) {
-            if (node.get_users().size() == 1 && node.get_users().front()->is_type<convolution>()) {
-                auto& conv = node.get_users().front()->as<convolution>();
-                auto ws = conv.get_input_layout(1).get_tensor();
-                if (ws.spatial[0] != 7 || conv.get_primitive()->groups > 1 || layout.feature() == 1)
-                    expected = format::bfyx;
-                else
-                    expected = format::bs_fs_yx_bsv16_fsv4;
-
-                auto conv_output_layout = conv.get_output_layout();
-                auto weights_layout = conv.weights().get_output_layout().convert_to_weights_layout(conv.get_primitive()->grouped_weights_shape);
-                format expected_conv_fmt = get_expected_format(conv);
-                if (expected == format::bfyx && expected_conv_fmt == format::bs_fs_yx_bsv32_fsv32 && layout.feature() % 32 == 0)
-                    expected = expected_conv_fmt;
-            }
-        } else if (layout.feature() > 8) {
+        if (layout.feature() > 8) {
             expected = format::b_fs_yx_fsv16;
         } else {
             expected = format::b_fs_yx_fsv4;

src/plugins/intel_gpu/src/plugin/infer_request_legacy.cpp

@@ -258,9 +258,6 @@ void InferRequestLegacy::SetBlob(const std::string& name, const Blob::Ptr& data)
         if (is_remote) {
             _deviceInputs[name] = data;
             _inputs[name] = data;
-        } else {
-            if (is_remote)
-                _inputs[name] = data;
         }
 
         if (!is_remote) {