Fixed small comments after enabling warning as error (#13364)

Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>

.ci/azure/linux_cuda.yml

@@ -124,10 +124,9 @@ jobs:
       -DVERBOSE_BUILD=ON
       -DCMAKE_BUILD_TYPE=$(BUILD_TYPE)
       -DIE_EXTRA_MODULES=/root/repos/openvino_contrib/modules
-      -DENABLE_MKL_DNN=OFF
-      -DENABLE_CLDNN=OFF
-      -DENABLE_VPU=OFF
-      -DENABLE_GNA=OFF
+      -DENABLE_INTEL_CPU=OFF
+      -DENABLE_INTEL_GPU=OFF
+      -DENABLE_INTEL_GNA=OFF
       -DBUILD_arm_plugin=OFF
       -DBUILD_java_api=OFF
       -DENABLE_PYTHON=OFF

.ci/azure/windows_conditional_compilation.yml

@@ -80,7 +80,15 @@ jobs:
 
   - script: |
       set PATH=$(WORK_DIR)\ninja-win;%PATH%
-      call "$(MSVS_VARS_PATH)" && cmake -GNinja -DENABLE_FASTER_BUILD=ON -DCMAKE_COMPILE_WARNING_AS_ERROR=ON -DCMAKE_BUILD_TYPE=$(BUILD_TYPE) -DENABLE_PROFILING_ITT=ON -DSELECTIVE_BUILD=COLLECT -DCMAKE_C_COMPILER:PATH="$(MSVC_COMPILER_PATH)" -DCMAKE_CXX_COMPILER:PATH="$(MSVC_COMPILER_PATH)" $(REPO_DIR)
+      call "$(MSVS_VARS_PATH)" && cmake -GNinja ^
+        -DENABLE_FASTER_BUILD=ON ^
+        -DCMAKE_COMPILE_WARNING_AS_ERROR=ON ^
+        -DCMAKE_BUILD_TYPE=$(BUILD_TYPE) ^
+        -DENABLE_PROFILING_ITT=ON ^
+        -DSELECTIVE_BUILD=COLLECT ^
+        -DCMAKE_C_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
+        -DCMAKE_CXX_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
+        $(REPO_DIR)
     workingDirectory: $(BUILD_DIR)
     displayName: 'CMake'
 

src/core/include/ngraph/variant.hpp

@@ -47,18 +47,6 @@ template <typename VT>
 class OPENVINO_DEPRECATED("Please use ov::Any to store VT directly") VariantWrapper {};
 
 OPENVINO_SUPPRESS_DEPRECATED_START
-#if defined(_MSC_VER)
-#    pragma warning(push)
-// '__declspec(dllexport)' and 'extern' are incompatible on an explicit instantiation
-#    pragma warning(disable : 4910)
-#endif
-extern template class OPENVINO_API VariantImpl<std::string>;
-extern template class OPENVINO_API VariantImpl<int64_t>;
-extern template class OPENVINO_API VariantImpl<bool>;
-#if defined(_MSC_VER)
-#    pragma warning(pop)
-#endif
-
 template <>
 class OPENVINO_API VariantWrapper<std::string> : public VariantImpl<std::string> {
 public:

src/core/src/variant.cpp

@@ -10,4 +10,4 @@ template class VariantImpl<std::string>;
 template class VariantImpl<int64_t>;
 template class VariantImpl<bool>;
 OPENVINO_SUPPRESS_DEPRECATED_END
-}  // namespace ngraph
+}  // namespace ngraph

src/frontends/onnx/frontend/src/op/mean_variance_normalization.cpp

@@ -34,11 +34,8 @@ OutputVector mean_variance_normalization(const Node& node) {
     const std::vector<std::size_t> normalized_axes =
         ngraph::normalize_axes(node.get_description(), axes, data.get_partial_shape().rank());
     auto const_axes = default_opset::Constant::create(element::i64, Shape{normalized_axes.size()}, normalized_axes);
-    return {std::make_shared<ngraph::op::v6::MVN>(data,
-                                                  const_axes,
-                                                  true,
-                                                  float(1e-09),
-                                                  ngraph::op::MVNEpsMode::OUTSIDE_SQRT)};
+    return {
+        std::make_shared<ngraph::op::v6::MVN>(data, const_axes, true, 1e-09f, ngraph::op::MVNEpsMode::OUTSIDE_SQRT)};
 }
 
 }  // namespace set_9

src/plugins/intel_gna/frontend/quantization.cpp

@@ -233,7 +233,7 @@ void QuantizationCallback<int8_t, gna_compound_bias_t>::runFakeQuantize() const
     auto output_low = 0.0f;
     auto output_high = 0.0f;
     size_t levels = 1;
-    float valueAcc = 0.0;
+    float valueAcc = 0.0f;
     for (uint32_t i = 0; i < num_rows; i++) {
         uint32_t channel_multiplier = 1;
         if (fq_num_stats > 0) {

src/plugins/intel_gna/runtime/pwl.cpp

@@ -411,7 +411,7 @@ void PwlApply32(intel_dnn_component_t *component,
         case kActSigmoid:
             for (uint32_t i = num_row_start; i <= num_row_end; i++) {
                 for (uint32_t j = num_col_start; j <= num_col_end; j++) {
-                    ptr_out[i * num_columns + j] = static_cast<float>(0.5 * (1.0 + tanh(0.5 * ptr_in[i * num_columns + j])));
+                    ptr_out[i * num_columns + j] = 0.5f * (1.0f + tanh(0.5f * ptr_in[i * num_columns + j]));
                 }
             }
             break;