Fix warnings for Paddle Frontend (openvinotoolkit#19476)

* Fixed warnings for Paddle Frontend

* fix CI linux-gnu-9 build fail issue

src/frontends/paddle/include/openvino/frontend/paddle/decoder.hpp

@@ -55,6 +55,9 @@ class DecoderBase {
 
     /// \brief Get the type of the operation
     virtual std::string get_op_type() const = 0;
+
+    /// \brief Destructor
+    virtual ~DecoderBase();
 };
 }  // namespace paddle
 }  // namespace frontend

src/frontends/paddle/src/CMakeLists.txt

@@ -2,12 +2,6 @@
 # SPDX-License-Identifier: Apache-2.0
 #
 
-if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-    ie_add_compiler_flags(/wd4305)
-elseif(OV_COMPILER_IS_CLANG)
-    ie_add_compiler_flags(-Wno-delete-non-abstract-non-virtual-dtor)
-endif()
-
 ov_add_frontend(NAME paddle
                 LINKABLE_FRONTEND
                 PROTOBUF_LITE

src/frontends/paddle/src/decoder.cpp

@@ -0,0 +1,9 @@
+// Copyright (C) 2018-2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "openvino/frontend/paddle/decoder.hpp"
+
+using namespace ov::frontend::paddle;
+
+DecoderBase::~DecoderBase() = default;

src/frontends/paddle/src/op/generate_proposals_v2.cpp

@@ -23,12 +23,12 @@ NamedOutputs generate_proposals_v2(const NodeContext& node) {
 
     // attribute
     ov::op::v9::GenerateProposals::Attributes attrs;
-    float min_size = node.get_attribute<float>("min_size", 0.1);
+    float min_size = node.get_attribute<float>("min_size", 0.1f);
     attrs.min_size = min_size < 1.0f ? 1.0f : min_size;
-    attrs.nms_threshold = node.get_attribute<float>("nms_thresh", 0.5);
+    attrs.nms_threshold = node.get_attribute<float>("nms_thresh", 0.5f);
     attrs.pre_nms_count = node.get_attribute<int>("pre_nms_topN", 6000);
     attrs.post_nms_count = node.get_attribute<int>("post_nms_topN", 1000);
-    attrs.nms_eta = node.get_attribute<float>("eta", 1.0);
+    attrs.nms_eta = node.get_attribute<float>("eta", 1.0f);
     PADDLE_OP_CHECK(node, (attrs.nms_eta == 1.0), "Only support case of eta == 1.0 currently");
     attrs.normalized = !node.get_attribute<bool>("pixel_offset", true);
 

src/frontends/paddle/src/op/group_norm.cpp

@@ -25,7 +25,7 @@ Output<ov::Node> reshape_channel_shaped_node_to_nchw(const Output<ov::Node>& nod
 NamedOutputs group_norm(const NodeContext& node) {
     auto data = node.get_input("X");
     size_t num_groups = static_cast<size_t>(node.get_attribute<int32_t>("groups"));
-    auto epsilon = node.get_attribute<float>("epsilon", 1e-5);
+    auto epsilon = node.get_attribute<float>("epsilon", 1e-5f);
     auto data_layout = node.get_attribute<std::string>("data_layout", "NCHW");
 
     const auto& pshape = data.get_partial_shape();