[clang-tidy] enable modernize-use-equals-default (#55983)

.clang-tidy

@@ -181,7 +181,7 @@ modernize-redundant-void-arg,
 -modernize-unary-static-assert,
 -modernize-use-bool-literals,
 modernize-use-emplace,
--modernize-use-equals-default,
+modernize-use-equals-default,
 -modernize-use-equals-delete,
 -modernize-use-noexcept,
 modernize-use-nullptr,

paddle/fluid/distributed/auto_parallel/spmd_rules/dist_tensor_spec.cc

@@ -34,7 +34,7 @@ DistTensorSpec::DistTensorSpec(const DistTensorSpec& spec) {
   dist_attr_.copy_from(spec.dist_attr());
 }
 
-DistTensorSpec::~DistTensorSpec() {}
+DistTensorSpec::~DistTensorSpec() = default;
 
 DistTensorSpec::DistTensorSpec(const Tensor& tensor) {
   shape_ = tensor.shape();

paddle/fluid/distributed/collective/process_group_nccl.cc

@@ -47,7 +47,7 @@ ProcessGroupNCCL::NCCLTask::NCCLTask(const Place& place,
       comm_event_(place),
       task_place_(place) {}
 
-ProcessGroupNCCL::NCCLTask::~NCCLTask() {}
+ProcessGroupNCCL::NCCLTask::~NCCLTask() = default;
 
 bool ProcessGroupNCCL::NCCLTask::IsCompleted() { return comm_event_.Query(); }
 

paddle/fluid/distributed/fleet_executor/fleet_executor.cc

@@ -48,7 +48,7 @@ FleetExecutor::FleetExecutor(const FleetExecutorDesc& exe_desc)
   InitMessageBus();
 }
 
-FleetExecutor::~FleetExecutor() {
+FleetExecutor::~FleetExecutor() {  // NOLINT
   for (const auto& carrier_id : carrier_ids_) {
     GlobalMap<std::string, Carrier>::Get(carrier_id)->Release();
   }

paddle/fluid/distributed/fleet_executor/interceptor.cc

@@ -24,7 +24,7 @@ namespace distributed {
 Interceptor::Interceptor(int64_t interceptor_id, TaskNode* node)
     : interceptor_id_(interceptor_id), node_(node) {}
 
-Interceptor::~Interceptor() {
+Interceptor::~Interceptor() {  // NOLINT
   // FIXME(wangxi): throw in stop function
   // std::lock_guard<std::mutex> lock(mutex_);
   // PADDLE_ENFORCE_EQ(messages_.empty(), true,

paddle/fluid/distributed/ps/service/communicator/communicator.cc

@@ -38,7 +38,7 @@ inline double GetCurrentUS() {
   return 1e+6 * time.tv_sec + time.tv_usec;
 }
 
-Communicator::Communicator() {}
+Communicator::Communicator() = default;
 
 void Communicator::InitGFlag(const std::string &gflags) {
   VLOG(3) << "Init With Gflags:" << gflags;

paddle/fluid/distributed/ps/table/common_graph_table.cc

@@ -1205,7 +1205,7 @@ Node *GraphShard::find_node(uint64_t id) {
   return iter == node_location.end() ? nullptr : bucket[iter->second];
 }
 
-GraphTable::~GraphTable() {
+GraphTable::~GraphTable() {  // NOLINT
 #ifdef PADDLE_WITH_GPU_GRAPH
   clear_graph();
 #endif

paddle/fluid/framework/data_feed.cc

@@ -1999,7 +1999,7 @@ void PaddleBoxDataFeed::PutToFeedVec(const std::vector<Record*>& ins_vec) {
 #endif
 }
 
-SlotRecordInMemoryDataFeed::~SlotRecordInMemoryDataFeed() {
+SlotRecordInMemoryDataFeed::~SlotRecordInMemoryDataFeed() {  // NOLINT
 #if defined(PADDLE_WITH_CUDA) && defined(PADDLE_WITH_HETERPS)
   stop_token_.store(true);
   for (auto& thread : pack_threads_) {

paddle/fluid/framework/data_feed.h

@@ -1821,7 +1821,7 @@ class MultiSlotInMemoryDataFeed : public InMemoryDataFeed<Record> {
 
 class SlotRecordInMemoryDataFeed : public InMemoryDataFeed<SlotRecord> {
  public:
-  SlotRecordInMemoryDataFeed() {}
+  SlotRecordInMemoryDataFeed() = default;
   virtual ~SlotRecordInMemoryDataFeed();
   void Init(const DataFeedDesc& data_feed_desc) override;
   void LoadIntoMemory() override;

paddle/fluid/framework/details/fetch_async_op_handle.cc

@@ -37,7 +37,7 @@ FetchAsyncOpHandle::FetchAsyncOpHandle(ir::Node *node,
       local_exec_scopes_(local_exec_scopes),
       return_merged_(return_merged) {}
 
-FetchAsyncOpHandle::~FetchAsyncOpHandle() {}
+FetchAsyncOpHandle::~FetchAsyncOpHandle() = default;
 
 void FetchAsyncOpHandle::RecordWaitEventOnCtx(
     platform::DeviceContext *waited_ctx) {

paddle/fluid/framework/details/fetch_op_handle.cc

@@ -35,7 +35,7 @@ FetchOpHandle::FetchOpHandle(ir::Node *node,
       local_exec_scopes_(local_exec_scopes),
       return_merged_(return_merged) {}
 
-FetchOpHandle::~FetchOpHandle() {}
+FetchOpHandle::~FetchOpHandle() = default;
 
 void FetchOpHandle::RecordWaitEventOnCtx(platform::DeviceContext *waited_ctx) {
   PADDLE_THROW(platform::errors::PermissionDenied(

paddle/fluid/framework/details/nan_inf_utils_detail.cc

@@ -27,7 +27,7 @@ namespace paddle {
 namespace framework {
 namespace details {
 struct DebugTools {
-  DebugTools() {}
+  DebugTools() = default;
   std::string path = "";
   int stack_limit = 1;
 };

paddle/fluid/framework/details/op_handle_base.cc

@@ -30,7 +30,7 @@ std::string OpHandleBase::DebugString() const {
   return ss.str();
 }
 
-OpHandleBase::~OpHandleBase() PADDLE_MAY_THROW {
+OpHandleBase::~OpHandleBase() PADDLE_MAY_THROW {  // NOLINT
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
   for (auto &ev : events_) {
     if (ev.second) {

paddle/fluid/framework/details/scale_loss_grad_op_handle.cc

@@ -40,7 +40,7 @@ ScaleLossGradOpHandle::ScaleLossGradOpHandle(ir::Node *node,
   this->SetDeviceContext(place_, dev_ctx);
 }
 
-ScaleLossGradOpHandle::~ScaleLossGradOpHandle() {}
+ScaleLossGradOpHandle::~ScaleLossGradOpHandle() = default;
 
 struct ScaleLossGradFunctor {
   float coeff_;

paddle/fluid/framework/details/ssa_graph_executor.cc

@@ -19,7 +19,7 @@
 namespace paddle {
 namespace framework {
 namespace details {
-SSAGraphExecutor::~SSAGraphExecutor() {}
+SSAGraphExecutor::~SSAGraphExecutor() = default;
 
 void ClearFetchOp(ir::Graph* graph, std::vector<OpHandleBase*>* fetch_ops) {
   if (fetch_ops->empty()) return;

paddle/fluid/framework/details/var_handle.cc

@@ -18,7 +18,7 @@ namespace paddle {
 namespace framework {
 namespace details {
 
-VarHandleBase::~VarHandleBase() {}
+VarHandleBase::~VarHandleBase() = default;
 
 VarHandle::~VarHandle() { VLOG(4) << "deleting var handle " << DebugString(); }
 

paddle/fluid/framework/ir/adaptive_pool2d_convert_global_pass.cc

@@ -24,7 +24,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-AdaptivePool2dConvertGlobalPass::AdaptivePool2dConvertGlobalPass() {
+AdaptivePool2dConvertGlobalPass::AdaptivePool2dConvertGlobalPass() {  // NOLINT
   AddOpCompat(OpCompat("pool2d"))
       .AddInput("X")
       .IsTensor()

paddle/fluid/framework/ir/adaptive_pool2d_convert_global_pass.h

@@ -32,7 +32,7 @@ class Graph;
 class AdaptivePool2dConvertGlobalPass : public FusePassBase {
  public:
   AdaptivePool2dConvertGlobalPass();
-  virtual ~AdaptivePool2dConvertGlobalPass() {}
+  virtual ~AdaptivePool2dConvertGlobalPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/constant_folding_pass.cc

@@ -51,7 +51,7 @@ struct ConstantFolding : public PatternBase {
 };
 }  // namespace patterns
 
-ConstantFoldingPass::ConstantFoldingPass() {}
+ConstantFoldingPass::ConstantFoldingPass() = default;
 
 void ConstantFoldingPass::ApplyImpl(ir::Graph *graph) const {
   PADDLE_ENFORCE_NOT_NULL(

paddle/fluid/framework/ir/conv_bn_fuse_pass.cc

@@ -756,7 +756,7 @@ void ConvEltwiseAddBNFusePass::ApplyImpl(ir::Graph* graph) const {
   AddStatis(found_conv_bn_count);
 }
 
-ConvTransposeBNFusePass::ConvTransposeBNFusePass() {
+ConvTransposeBNFusePass::ConvTransposeBNFusePass() {  // NOLINT
   AddOpCompat(OpCompat("conv2d_transpose"))
       .AddInput("Input")
       .IsTensor()
@@ -800,7 +800,8 @@ ConvTransposeBNFusePass::ConvTransposeBNFusePass() {
       .End();
 }
 
-ConvTransposeEltwiseAddBNFusePass::ConvTransposeEltwiseAddBNFusePass() {
+ConvTransposeEltwiseAddBNFusePass::
+    ConvTransposeEltwiseAddBNFusePass() {  // NOLINT
   AddOpCompat(OpCompat("conv2d_transpose"))
       .AddInput("Input")
       .IsTensor()
@@ -844,7 +845,7 @@ ConvTransposeEltwiseAddBNFusePass::ConvTransposeEltwiseAddBNFusePass() {
       .End();
 }
 
-DepthwiseConvBNFusePass::DepthwiseConvBNFusePass() {
+DepthwiseConvBNFusePass::DepthwiseConvBNFusePass() {  // NOLINT
   AddOpCompat(OpCompat("depthwise_conv2d"))
       .AddInput("Input")
       .IsTensor()

paddle/fluid/framework/ir/cost_model.cc

@@ -30,7 +30,7 @@ using platform::MemEvent;
 
 const double CostData::NOT_MEASURED = -1;
 
-CostData::~CostData() {
+CostData::~CostData() {  // NOLINT
   // TODO(zhhsplendid): when we save a copy of program/graph, we should delete
   // here.
 }

paddle/fluid/framework/ir/mkldnn/compute_propagate_scales_mkldnn_pass_tester.cc

@@ -56,7 +56,7 @@ static const std::initializer_list<std::string> rnn_variable_names{
 
 class ComputePropagateScalesMkldnnPassTest : public testing::Test {
  public:
-  ComputePropagateScalesMkldnnPassTest() {
+  ComputePropagateScalesMkldnnPassTest() {  // NOLINT
     pass.reset(new ComputePropagateScalesMkldnnPass());
   }
 

paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.cc

@@ -32,7 +32,7 @@ class Graph;
   PADDLE_ENFORCE_NOT_NULL(                                       \
       id, platform::errors::InvalidArgument("Subgraph has no node %s.", #id));
 
-DepthwiseConvMKLDNNPass::DepthwiseConvMKLDNNPass() {
+DepthwiseConvMKLDNNPass::DepthwiseConvMKLDNNPass() {  // NOLINT
   AddOpCompat(OpCompat("depthwise_conv2d"))
       .AddInput("Input")
       .IsTensor()

paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h

@@ -25,7 +25,7 @@ class Graph;
 class DepthwiseConvMKLDNNPass : public FusePassBase {
  public:
   DepthwiseConvMKLDNNPass();
-  virtual ~DepthwiseConvMKLDNNPass() {}
+  virtual ~DepthwiseConvMKLDNNPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/mkldnn/int8_scale_calculation_mkldnn_pass.cc

@@ -23,7 +23,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-Int8ScaleCalculationMkldnnPass::Int8ScaleCalculationMkldnnPass() {
+Int8ScaleCalculationMkldnnPass::Int8ScaleCalculationMkldnnPass() {  // NOLINT
   AddOpCompat(OpCompat("conv2d"))
       .AddInput("Input")
       .IsTensor()

paddle/fluid/framework/ir/mkldnn/int8_scale_calculation_mkldnn_pass.h

@@ -27,7 +27,7 @@ class Graph;
 class Int8ScaleCalculationMkldnnPass : public FusePassBase {
  public:
   Int8ScaleCalculationMkldnnPass();
-  virtual ~Int8ScaleCalculationMkldnnPass() {}
+  virtual ~Int8ScaleCalculationMkldnnPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass.cc

@@ -76,7 +76,7 @@ void QuantizeConvInput(Scope* scope,
 
 }  // namespace
 
-ParamsQuantizationMkldnnPass::ParamsQuantizationMkldnnPass() {
+ParamsQuantizationMkldnnPass::ParamsQuantizationMkldnnPass() {  // NOLINT
   AddOpCompat(OpCompat("fused_conv2d"))
       .AddInput("Input")
       .IsTensor()

paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass.h

@@ -27,7 +27,7 @@ class Graph;
 class ParamsQuantizationMkldnnPass : public FusePassBase {
  public:
   ParamsQuantizationMkldnnPass();
-  virtual ~ParamsQuantizationMkldnnPass() {}
+  virtual ~ParamsQuantizationMkldnnPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc

@@ -65,7 +65,7 @@ struct TestScope {
 };
 
 struct ProgramStrategy {
-  virtual ~ProgramStrategy() {}
+  virtual ~ProgramStrategy() = default;
 
   std::unique_ptr<Graph> CreateGraph() {
     CreateProgram();

paddle/fluid/framework/ir/mkldnn/quant_transpose2_dequant_onednn_fuse_pass.cc

@@ -170,7 +170,8 @@ void FuseQuantTranspose2DequantOneDNNPass::ApplyImpl(Graph *graph) const {
   FuseTranspose2Dequantize(graph, "transpose2");
 }
 
-FuseQuantTranspose2DequantOneDNNPass::FuseQuantTranspose2DequantOneDNNPass() {
+FuseQuantTranspose2DequantOneDNNPass::
+    FuseQuantTranspose2DequantOneDNNPass() {  // NOLINT
   AddOpCompat(OpCompat("transpose2"))
       .AddInput("X")
       .IsTensor()

paddle/fluid/framework/ir/mkldnn/quant_transpose2_dequant_onednn_fuse_pass.h

@@ -23,7 +23,7 @@ namespace ir {
 
 class FuseQuantTranspose2DequantOneDNNPass : public FusePassBase {
  public:
-  virtual ~FuseQuantTranspose2DequantOneDNNPass() {}
+  virtual ~FuseQuantTranspose2DequantOneDNNPass() = default;
   FuseQuantTranspose2DequantOneDNNPass();
 
  protected:

paddle/fluid/framework/ir/mkldnn/shuffle_channel_mkldnn_detect_pass.cc

@@ -31,7 +31,7 @@ namespace ir {
   GET_IR_NODE(reshape2_op);   \
   GET_IR_NODE(reshape2_out);
 
-ShuffleChannelMKLDNNDetectPass::ShuffleChannelMKLDNNDetectPass() {
+ShuffleChannelMKLDNNDetectPass::ShuffleChannelMKLDNNDetectPass() {  // NOLINT
   AddOpCompat(OpCompat("reshape2"))
       .AddInput("X")
       .IsTensor()

paddle/fluid/framework/ir/mkldnn/shuffle_channel_mkldnn_detect_pass.h

@@ -27,7 +27,7 @@ class Graph;
 class ShuffleChannelMKLDNNDetectPass : public FusePassBase {
  public:
   ShuffleChannelMKLDNNDetectPass();
-  virtual ~ShuffleChannelMKLDNNDetectPass() {}
+  virtual ~ShuffleChannelMKLDNNDetectPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/reverse_roll_fuse_pass.cc

@@ -37,7 +37,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 class Node;
-ReverseRollFusePass::ReverseRollFusePass() {
+ReverseRollFusePass::ReverseRollFusePass() {  // NOLINT
   AddOpCompat(OpCompat("reshape2"))
       .AddInput("X")
       .IsTensor()

paddle/fluid/framework/ir/reverse_roll_fuse_pass.h

@@ -54,7 +54,7 @@ namespace ir {
 class ReverseRollFusePass : public FusePassBase {
  public:
   ReverseRollFusePass();
-  virtual ~ReverseRollFusePass() {}
+  virtual ~ReverseRollFusePass() = default;
 
  protected:
   void ApplyImpl(ir::Graph *graph) const override;

paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc

@@ -31,7 +31,7 @@ namespace ir {
   GET_IR_NODE(reshape2_op);   \
   GET_IR_NODE(reshape2_out);
 
-ShuffleChannelDetectPass::ShuffleChannelDetectPass() {
+ShuffleChannelDetectPass::ShuffleChannelDetectPass() {  // NOLINT
   AddOpCompat(OpCompat("reshape2"))
       .AddInput("X")
       .IsTensor()

paddle/fluid/framework/ir/shuffle_channel_detect_pass.h

@@ -27,7 +27,7 @@ class Graph;
 class ShuffleChannelDetectPass : public FusePassBase {
  public:
   ShuffleChannelDetectPass();
-  virtual ~ShuffleChannelDetectPass() {}
+  virtual ~ShuffleChannelDetectPass() = default;
 
  protected:
   void ApplyImpl(ir::Graph* graph) const override;

paddle/fluid/framework/ir/sigmoid_elementmul_fuse_pass.cc

@@ -67,7 +67,7 @@ SigmoidElementmulFusePattern::SigmoidElementmulFusePattern(
 
 }  // namespace patterns
 
-SigmoidElementmulFusePass::SigmoidElementmulFusePass() {}
+SigmoidElementmulFusePass::SigmoidElementmulFusePass() = default;
 
 void SigmoidElementmulFusePass::ApplyImpl(ir::Graph* graph) const {
   PADDLE_ENFORCE_NOT_NULL(

paddle/fluid/framework/ir/trt_map_ops_to_matrix_multiply_pass.cc

@@ -28,7 +28,7 @@ namespace ir {
 
 class Node;
 
-TrtMapOpsToMatrixMultiplyPass::TrtMapOpsToMatrixMultiplyPass() {}
+TrtMapOpsToMatrixMultiplyPass::TrtMapOpsToMatrixMultiplyPass() = default;
 
 void TrtMapOpsToMatrixMultiplyPass::ApplyImpl(ir::Graph* graph) const {
   PADDLE_ENFORCE_NOT_NULL(

paddle/fluid/framework/ir/yolo_box_fuse_pass.cc

@@ -149,7 +149,7 @@ struct YoloBoxPattern : public PatternBase {
 };
 }  // namespace patterns
 
-YoloBoxFusePass::YoloBoxFusePass() {}
+YoloBoxFusePass::YoloBoxFusePass() = default;
 
 void YoloBoxFusePass::ApplyImpl(ir::Graph* graph) const {
   PADDLE_ENFORCE_NOT_NULL(

paddle/fluid/framework/new_executor/garbage_collector/no_event_garbage_collector.cc

@@ -27,7 +27,7 @@ InterpreterCoreNoEventGarbageCollector::
 }
 
 InterpreterCoreNoEventGarbageCollector::
-    ~InterpreterCoreNoEventGarbageCollector() {
+    ~InterpreterCoreNoEventGarbageCollector() {  // NOLINT
   queue_.reset(nullptr);
 }
 

paddle/fluid/framework/new_executor/new_executor_defs.cc

@@ -37,7 +37,7 @@ VariableScope::VariableScope(Scope* scope) {
           "You have passed a nullptr to construct VariableScope."));
 }
 
-VariableScope::~VariableScope() {}
+VariableScope::~VariableScope() = default;
 
 Scope* VariableScope::GetMutableScope() const { return scope_; }
 

paddle/fluid/framework/phi_utils.cc

@@ -40,7 +40,7 @@ class KernelArgsNameMakerByOpProto : public KernelArgsNameMaker {
         platform::errors::InvalidArgument("Op proto cannot be nullptr."));
   }
 
-  ~KernelArgsNameMakerByOpProto() override {}
+  ~KernelArgsNameMakerByOpProto() override = default;
 
   const paddle::small_vector<const char*>& GetInputArgsNames() override;
   const paddle::small_vector<const char*>& GetOutputArgsNames() override;

paddle/fluid/framework/program_utils.cc

@@ -187,7 +187,7 @@ void ProgramProcessor::AddDepToBlockOp(const BlockDesc &block) {
   }
 }
 
-ProgramProcessor::ProgramProcessor() {}
+ProgramProcessor::ProgramProcessor() = default;
 
 }  // namespace framework
 }  // namespace paddle

paddle/fluid/framework/reader.cc

@@ -72,7 +72,7 @@ void ReaderBase::Start() {
   }
 }
 
-ReaderBase::~ReaderBase() {}
+ReaderBase::~ReaderBase() = default;
 
 DecoratedReader::~DecoratedReader() {
   VLOG(1) << "~DecoratedReader";

paddle/fluid/framework/var_type_traits.cc

@@ -114,7 +114,7 @@ struct VarIdToTypeIndexMapHolder {
   }
 
  private:
-  VarIdToTypeIndexMapHolder() {
+  VarIdToTypeIndexMapHolder() {  // NOLINT
     VarIdToTypeIndexMapInitializer::Init(&id_to_type_map_, &type_to_id_map_);
   }
 

paddle/fluid/imperative/amp_auto_cast.cc

@@ -131,7 +131,9 @@ AutoCastGuard::AutoCastGuard(std::shared_ptr<Tracer> tracer, AmpLevel level)
   }
 }
 
-AutoCastGuard::~AutoCastGuard() { tracer_->SetAmpLevel(pre_amp_level_); }
+AutoCastGuard::~AutoCastGuard() {  // NOLINT
+  tracer_->SetAmpLevel(pre_amp_level_);
+}
 
 AmpOperators::AmpOperators()
     : allow_ops_(new std::unordered_set<std::string>()),
@@ -163,7 +165,7 @@ AmpOperators::AmpOperators()
           << unsupported_bf16_ops_->size();
 }
 
-AmpOperators::~AmpOperators() {}
+AmpOperators::~AmpOperators() = default;
 
 AmpOperators& AmpOperators::Instance() {
   static AmpOperators instance;

paddle/fluid/inference/analysis/analyzer.cc

@@ -23,7 +23,7 @@ namespace paddle {
 namespace inference {
 namespace analysis {
 
-Analyzer::Analyzer() {}
+Analyzer::Analyzer() = default;
 
 void Analyzer::Run(Argument *argument) { RunAnalysis(argument); }
 

paddle/fluid/inference/analysis/passes/passes.cc

@@ -27,7 +27,7 @@ namespace paddle {
 namespace inference {
 namespace analysis {
 
-PassRegistry::PassRegistry() {
+PassRegistry::PassRegistry() {  // NOLINT
   // Register manually to avoid the trivial `USE_OP` like macro for easier use
   // and link.
   passes_.emplace("ir_analysis_pass",

paddle/fluid/inference/api/resource_manager.cc

@@ -50,7 +50,7 @@ class EigenGpuStreamDevice : public Eigen::StreamInterface {
   EigenGpuStreamDevice() : scratch_(nullptr), semaphore_(nullptr) {
     Eigen::initializeDeviceProp();
   }
-  ~EigenGpuStreamDevice() override {}
+  ~EigenGpuStreamDevice() override = default;
 
   void Reinitialize(gpuStream_t cuda_stream,
                     phi::Allocator* allocator,

paddle/fluid/inference/tensorrt/convert/activation_op.cc

@@ -29,7 +29,7 @@ namespace tensorrt {
 
 class ActivationOpConverter : public OpConverter {
  public:
-  ActivationOpConverter() {}
+  ActivationOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/convert/elementwise_op.cc

@@ -21,7 +21,7 @@ namespace tensorrt {
 
 class ElementwiseTensorOpConverter : public OpConverter {
  public:
-  ElementwiseTensorOpConverter() {}
+  ElementwiseTensorOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {
@@ -325,7 +325,7 @@ class ElementwiseTensorModOpConverter : public ElementwiseTensorOpConverter {
 // https://github.com/PaddlePaddle/Paddle/blob/release/2.4/python/paddle/tensor/math.py#L420
 class PowOpConverter : public OpConverter {
  public:
-  PowOpConverter() {}
+  PowOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/convert/equal_op.cc

@@ -21,7 +21,7 @@ namespace tensorrt {
 
 class EqualOpConverter : public OpConverter {
  public:
-  EqualOpConverter() {}
+  EqualOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {
@@ -74,7 +74,7 @@ class EqualOpConverter : public OpConverter {
 
 class NotEqualOpConverter : public OpConverter {
  public:
-  NotEqualOpConverter() {}
+  NotEqualOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/convert/square_op.cc

@@ -20,7 +20,7 @@ namespace tensorrt {
 
 class SquareOpConverter : public OpConverter {
  public:
-  SquareOpConverter() {}
+  SquareOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/convert/top_k_op.cc

@@ -29,7 +29,7 @@ namespace tensorrt {
 
 class TopKOpConverter : public OpConverter {
  public:
-  TopKOpConverter() {}
+  TopKOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/convert/unary_op.cc

@@ -29,7 +29,7 @@ namespace tensorrt {
 
 class UnaryOpConverter : public OpConverter {
  public:
-  UnaryOpConverter() {}
+  UnaryOpConverter() = default;
   void operator()(const framework::proto::OpDesc& op,
                   const framework::Scope& scope,
                   bool test_mode) override {

paddle/fluid/inference/tensorrt/dynamic_shape_infermeta.cc

@@ -23,7 +23,7 @@ namespace tensorrt {
 
 class ExprWrapper {
  public:
-  ExprWrapper() {}
+  ExprWrapper() = default;
   ExprWrapper(const nvinfer1::IDimensionExpr* expr,
               nvinfer1::IExprBuilder* expr_builder) {
     this->expr = expr;

paddle/fluid/inference/tensorrt/op_teller.cc

@@ -35,7 +35,7 @@ namespace tensorrt {
 
 // Just tell by the op_types.
 struct SimpleOpTypeSetTeller : public Teller {
-  SimpleOpTypeSetTeller() {
+  SimpleOpTypeSetTeller() {  // NOLINT
 #if IS_TRT_VERSION_GE(7130)
     // use TensorRT plugin
     teller_set.insert("group_norm");
@@ -3083,7 +3083,7 @@ struct SimpleOpTypeSetTeller : public Teller {
 
 struct GenericPluginTeller : public Teller {
  public:
-  GenericPluginTeller() {}
+  GenericPluginTeller() = default;
   bool operator()(const framework::OpDesc& desc,
                   bool use_no_calib_int8 = false,
                   bool with_dynamic_shape = false) override {
@@ -3125,7 +3125,7 @@ struct GenericPluginTeller : public Teller {
 
 struct CustomPluginTeller : public Teller {
  public:
-  CustomPluginTeller() {}
+  CustomPluginTeller() = default;
   bool operator()(const framework::OpDesc& desc,
                   bool use_no_calib_int8 = false,
                   bool with_dynamic_shape = false) override {
@@ -3178,7 +3178,7 @@ bool OpTeller::Tell(const framework::ir::Node* node,
   return false;
 }
 
-OpTeller::OpTeller() {
+OpTeller::OpTeller() {  // NOLINT
   tellers_.emplace_back(new tensorrt::SimpleOpTypeSetTeller);
   tellers_.emplace_back(new tensorrt::GenericPluginTeller);
   tellers_.emplace_back(new tensorrt::CustomPluginTeller);

paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_plugin.cu

@@ -405,7 +405,7 @@ char const* EmbLayerNormPlugin::getPluginNamespace() const noexcept {
   return mNamespace.c_str();
 }
 
-EmbLayerNormPluginCreator::EmbLayerNormPluginCreator() {}
+EmbLayerNormPluginCreator::EmbLayerNormPluginCreator() = default;
 
 char const* EmbLayerNormPluginCreator::getPluginName() const noexcept {
   return EMB_LAYER_NORM_NAME;

paddle/fluid/inference/tensorrt/plugin/many_emb_layernorm_varseqlen_plugin.cu

@@ -771,7 +771,7 @@ char const* EmbLayerNormVarSeqlenPluginBase::getPluginNamespace()
 }
 
 EmbLayerNormVarSeqlenPluginBaseCreator::
-    EmbLayerNormVarSeqlenPluginBaseCreator() {}
+    EmbLayerNormVarSeqlenPluginBaseCreator() = default;
 
 char const* EmbLayerNormVarSeqlenPluginBaseCreator::getPluginName()
     const noexcept {

paddle/fluid/inference/tensorrt/plugin/roi_align_op_plugin.cu

@@ -405,7 +405,7 @@ void RoiAlignPluginDynamic::serialize(void* buffer) const TRT_NOEXCEPT {
 
 void RoiAlignPluginDynamic::destroy() TRT_NOEXCEPT {}
 
-RoiAlignPluginDynamicCreator::RoiAlignPluginDynamicCreator() {}
+RoiAlignPluginDynamicCreator::RoiAlignPluginDynamicCreator() = default;
 
 void RoiAlignPluginDynamicCreator::setPluginNamespace(const char* lib_namespace)
     TRT_NOEXCEPT {

paddle/fluid/inference/tensorrt/plugin/stack_op_plugin.cu

@@ -36,7 +36,7 @@ StackPluginDynamic::StackPluginDynamic(void const* serial_data,
   DeserializeValue(&serial_data, &serial_length, &with_fp16_);
 }
 
-StackPluginDynamic::~StackPluginDynamic() {}
+StackPluginDynamic::~StackPluginDynamic() = default;
 
 nvinfer1::IPluginV2DynamicExt* StackPluginDynamic::clone() const TRT_NOEXCEPT {
   return new StackPluginDynamic(axis_, num_stack_, with_fp16_);
@@ -230,7 +230,7 @@ int StackPluginDynamic::enqueue(const nvinfer1::PluginTensorDesc* input_desc,
   return cudaGetLastError() != cudaSuccess;
 }
 
-StackPluginDynamicCreator::StackPluginDynamicCreator() {}
+StackPluginDynamicCreator::StackPluginDynamicCreator() = default;
 
 const char* StackPluginDynamicCreator::getPluginName() const TRT_NOEXCEPT {
   return "stack_plugin";

paddle/fluid/inference/tensorrt/plugin/yolo_box_op_plugin.cu

@@ -437,7 +437,7 @@ nvinfer1::IPluginV2Ext* YoloBoxPlugin::clone() const TRT_NOEXCEPT {
                            input_w_);
 }
 
-YoloBoxPluginCreator::YoloBoxPluginCreator() {}
+YoloBoxPluginCreator::YoloBoxPluginCreator() = default;
 
 void YoloBoxPluginCreator::setPluginNamespace(const char* lib_namespace)
     TRT_NOEXCEPT {

paddle/fluid/ir_adaptor/translator/attribute_translator.cc

@@ -34,7 +34,7 @@ class AttributeVisitor {
  public:
   ir::IrContext* ctx;
   AttributeVisitor() { ctx = ir::IrContext::Instance(); }
-  ~AttributeVisitor() {}
+  ~AttributeVisitor() = default;
 
  public:
   virtual ir::Attribute operator()(int i) {

paddle/fluid/memory/allocation/allocator_facade.cc

@@ -127,7 +127,7 @@ class CUDAGraphAllocator
       : underlying_allocator_(allocator) {}
 
  public:
-  ~CUDAGraphAllocator() override {}
+  ~CUDAGraphAllocator() override = default;
 
   static std::shared_ptr<Allocator> Create(
       const std::shared_ptr<Allocator>& allocator) {
@@ -1272,7 +1272,7 @@ AllocatorFacadePrivate::AllocatorMap AllocatorFacadePrivate::system_allocators_;
 AllocatorFacade::AllocatorFacade() : m_(new AllocatorFacadePrivate()) {}
 // delete m_ may cause core dump when the destructor of python in conflict with
 // cpp.
-AllocatorFacade::~AllocatorFacade() {}
+AllocatorFacade::~AllocatorFacade() = default;
 
 AllocatorFacade& AllocatorFacade::Instance() {
   static AllocatorFacade* instance = new AllocatorFacade;

paddle/fluid/operators/collective/c_comm_init_all_op.cc

@@ -38,7 +38,7 @@ namespace operators {
 
 class CCommInitAllInferShape : public framework::InferShapeBase {
  public:
-  ~CCommInitAllInferShape() override {}
+  ~CCommInitAllInferShape() override = default;
   void operator()(framework::InferShapeContext* ctx) const override{};
 };
 

paddle/fluid/operators/collective/c_comm_init_multitrainer_op.cc

@@ -38,7 +38,7 @@ namespace operators {
 
 class CCommInitMultiTrainerInferShape : public framework::InferShapeBase {
  public:
-  ~CCommInitMultiTrainerInferShape() override {}
+  ~CCommInitMultiTrainerInferShape() override = default;
   void operator()(framework::InferShapeContext* ctx) const override{};
 };
 

paddle/fluid/operators/fused/fused_fc_elementwise_layernorm_op.cu

@@ -44,7 +44,7 @@ static __device__ __forceinline__ double RealSqrt(double x) { return sqrt(x); }
 
 template <typename T>
 struct PairForLayerNorm {
-  __device__ __forceinline__ PairForLayerNorm() {}
+  __device__ __forceinline__ PairForLayerNorm() = default;
   __device__ __forceinline__ PairForLayerNorm(const T& first, const T& second)
       : first_(first), second_(second) {}
 

paddle/fluid/operators/math/beam_search.cc

@@ -113,7 +113,7 @@ class BeamSearchFunctor<phi::CPUContext, T> {
    * The basic items help to sort.
    */
   struct Item {
-    Item() {}
+    Item() = default;
     Item(size_t offset, size_t id, float score)
         : offset(offset), id(id), score(score) {}
     // offset in the higher lod level.

paddle/fluid/operators/math/beam_search.cu

@@ -21,7 +21,7 @@ namespace operators {
 namespace math {
 
 struct Triple {
-  __device__ __forceinline__ Triple() {}
+  __device__ __forceinline__ Triple() = default;
   __device__ __forceinline__ Triple(int o, int i, float s)
       : offset(o), id(i), score(s) {}
 

paddle/fluid/operators/math/sampler.cc

@@ -22,7 +22,7 @@ namespace paddle {
 namespace operators {
 namespace math {
 
-Sampler::~Sampler() {}
+Sampler::~Sampler() = default;
 
 UniformSampler::UniformSampler(int64_t range, unsigned int seed)
     : Sampler(range, seed), inv_range_(1.0 / (range + 1)) {

paddle/fluid/operators/reader/py_reader.cc

@@ -36,7 +36,9 @@ void PyReader::ReadNext(paddle::framework::LoDTensorArray* out) {
   if (!success) out->clear();
 }
 
-PyReader::~PyReader() { queue_->Close(); }
+PyReader::~PyReader() {  // NOLINT
+  queue_->Close();
+}
 
 void PyReader::Shutdown() { queue_->Close(); }
 

paddle/fluid/platform/profiler/cuda_tracer.cc

@@ -47,7 +47,7 @@ std::unordered_map<uint32_t, uint64_t> CreateThreadIdMapping() {
 }
 }  // namespace details
 
-CudaTracer::CudaTracer() {}
+CudaTracer::CudaTracer() = default;
 
 void CudaTracer::PrepareTracing() {
   PADDLE_ENFORCE_EQ(

paddle/fluid/platform/profiler/custom_device/custom_tracer.cc

@@ -32,7 +32,7 @@ CustomTracer::CustomTracer(const std::string& dev_type) : dev_type_(dev_type) {
 #endif
 }
 
-CustomTracer::~CustomTracer() {
+CustomTracer::~CustomTracer() {  // NOLINT
 #ifdef PADDLE_WITH_CUSTOM_DEVICE
   phi::DeviceManager::ProfilerFinalize(dev_type_, &collector_, context_);
 #endif

paddle/ir/core/ir_context.cc

@@ -29,7 +29,7 @@ namespace ir {
 // AbstractType, TypeStorage, AbstractAttribute, AttributeStorage, Dialect.
 class IrContextImpl {
  public:
-  IrContextImpl() {}
+  IrContextImpl() = default;
 
   ~IrContextImpl() {
     std::lock_guard<ir::SpinLock> guard(destructor_lock_);

paddle/ir/core/storage_manager.cc

@@ -66,7 +66,7 @@ struct ParametricStorageManager {
   std::function<void(StorageBase *)> destroy_;
 };
 
-StorageManager::StorageManager() {}
+StorageManager::StorageManager() = default;
 
 StorageManager::~StorageManager() = default;
 

paddle/phi/api/include/tensor.h

@@ -53,7 +53,7 @@ using IntArray = experimental::IntArray;
 class AbstractAutogradMeta {
  public:
   // No AbstractAutogradMeta should be created
-  virtual ~AbstractAutogradMeta() {}
+  virtual ~AbstractAutogradMeta() = default;
 };
 
 /**

paddle/phi/api/lib/tensor.cc

@@ -403,12 +403,7 @@ void Tensor::reset() {
 
 /* Part 6: Operator overloading */
 
-Tensor &Tensor::operator=(const Tensor &x) & {
-  impl_ = x.impl_;
-  autograd_meta_ = x.autograd_meta_;
-  name_ = x.name_;
-  return *this;
-}
+Tensor &Tensor::operator=(const Tensor &x) & = default;
 
 Tensor &Tensor::operator=(Tensor &&x) & {
   impl_ = std::move(x.impl_);

paddle/phi/backends/dynload/dynamic_loader.cc

@@ -109,7 +109,7 @@ namespace phi {
 namespace dynload {
 
 struct PathNode {
-  PathNode() {}
+  PathNode() = default;
   std::string path = "";
 };
 

paddle/phi/backends/gpu/gpu_context.cc

@@ -66,7 +66,7 @@ class EigenGpuStreamDevice : public Eigen::StreamInterface {
   EigenGpuStreamDevice() : scratch_(nullptr), semaphore_(nullptr) {
     Eigen::initializeDeviceProp();
   }
-  ~EigenGpuStreamDevice() override {}
+  ~EigenGpuStreamDevice() override = default;
 
   void Reinitialize(gpuStream_t cuda_stream,
                     Allocator* allocator,

paddle/phi/backends/onednn/onednn_context.cc

@@ -95,7 +95,7 @@ struct OneDNNContext::Impl {
     p_mutex_.reset(new std::mutex());
   }
 
-  ~Impl() {}
+  ~Impl() = default;
 
   void ResetBlobMap(void* ptr) {
     VLOG(4) << OneDNNContext::tls().get_curr_exec() << " " << ptr;

paddle/phi/kernels/cpu/multiclass_nms3_kernel.cc

@@ -27,7 +27,7 @@ template <class T>
 class Point_ {
  public:
   // default constructor
-  Point_() {}
+  Point_() = default;
   Point_(T _x, T _y) {}
   Point_(const Point_& pt UNUSED) {}
 

paddle/phi/kernels/cpu/rnn_grad_kernel.cc

@@ -53,7 +53,7 @@ void CreateLstmGrad(phi::funcs::LstmMetaGrad<T>* lstm_grad) {
 
 template <typename T>
 struct GradCell {
-  virtual ~GradCell() {}
+  virtual ~GradCell() = default;
   virtual void operator()(const CPUContext& dev_ctx UNUSED,
                           DenseTensor* gate_tensor UNUSED,
                           DenseTensor* state_tensor UNUSED,
@@ -355,7 +355,7 @@ struct LSTMGradCell : GradCell<T> {
 template <typename T, typename GradCellType>
 struct GradLayer {
   explicit GradLayer(const GradCellType& cell) : cell_(cell) {}
-  virtual ~GradLayer() {}
+  virtual ~GradLayer() = default;
   void run_rnn_grad_function(
       const CPUContext& dev_ctx,
       const DenseTensor* input,
@@ -690,7 +690,7 @@ struct SingleGradLayer : GradLayer<T, GradCellType> {
   // explicit SingleGradLayer(GradCellType& cell) : cell_(cell) {}
   explicit SingleGradLayer(const GradCellType& cell)
       : GradLayer<T, GradCellType>(cell) {}
-  ~SingleGradLayer() override {}
+  ~SingleGradLayer() override = default;
   void operator()(const CPUContext& dev_ctx,
                   const DenseTensor* input,
                   const DenseTensor* output,
@@ -802,7 +802,7 @@ template <typename T, typename GradCellType>
 struct BidirGradLayer : GradLayer<T, GradCellType> {
   explicit BidirGradLayer(const GradCellType& cell)
       : GradLayer<T, GradCellType>(cell) {}
-  ~BidirGradLayer() override {}
+  ~BidirGradLayer() override = default;
   void operator()(const CPUContext& dev_ctx,
                   const DenseTensor* input,
                   const DenseTensor* output,

paddle/phi/kernels/cpu/rnn_kernel.cc

@@ -34,7 +34,7 @@ namespace phi {
 
 template <typename T>
 struct Cell {
-  virtual ~Cell() {}
+  virtual ~Cell() = default;
   virtual void operator()(const CPUContext* dev_ctx UNUSED,
                           DenseTensor* input UNUSED,
                           const DenseTensor* weight_hh UNUSED,
@@ -208,7 +208,7 @@ struct LSTMCell : Cell<T> {
 template <typename T, typename CellType>
 struct Layer {
   explicit Layer(const CellType& cell) : cell_(cell) {}
-  virtual ~Layer() {}
+  virtual ~Layer() = default;
   void preprocess(const CPUContext& dev_ctx,
                   const DenseTensor& input,
                   const DenseTensor& weight,

paddle/phi/kernels/funcs/concat_and_split_functor.cu

@@ -65,7 +65,7 @@ struct PointerWrapper {
   const void* ins_addr[Size];
   __device__ inline const void* operator[](int i) const { return ins_addr[i]; }
 
-  PointerWrapper() {}
+  PointerWrapper() = default;
   PointerWrapper(const phi::GPUContext& ctx,
                  const std::vector<phi::DenseTensor>& ins,
                  const T** pre_alloced_host_ptr) {
@@ -84,7 +84,7 @@ template <typename T, int Size>
 struct PADDLE_ALIGN(256) AlignedPointerWrapper
     : public PointerWrapper<T, Size> {
  public:
-  AlignedPointerWrapper() {}
+  AlignedPointerWrapper() = default;
   AlignedPointerWrapper(const phi::GPUContext& ctx,
                         const std::vector<phi::DenseTensor>& ins,
                         const T** pre_alloced_host_ptr) {
@@ -98,7 +98,7 @@ struct PointerToPointer {
   void** ins_addr{nullptr};
   __device__ inline const void* operator[](int i) const { return ins_addr[i]; }
 
-  PointerToPointer() {}
+  PointerToPointer() = default;
   PointerToPointer(const phi::GPUContext& ctx,
                    const std::vector<phi::DenseTensor>& ins,
                    const T** pre_alloced_host_ptr,
@@ -186,9 +186,7 @@ struct PointerToPointerAndCol {
 
 template <int MovSize>
 struct alignas(MovSize) Packed {
-  __device__ Packed() {
-    // do nothing
-  }
+  __device__ Packed() = default;
   union {
     char buf[MovSize];
   };
@@ -621,7 +619,7 @@ struct PointerAndColArray
  public:
   funcs::ValueArray<IndexT, Size> val_array;
 
-  PointerAndColArray() {}
+  PointerAndColArray() = default;
   PointerAndColArray(const phi::GPUContext& ctx,
                      const int out_col_num,
                      IndexT* out_cols,

paddle/phi/kernels/gpu/masked_select_grad_kernel.cu

@@ -32,7 +32,7 @@ namespace phi {
 
 template <typename MT, typename InT, typename OutT>
 struct MaskedSelectGradFunctor {
-  HOSTDEVICE MaskedSelectGradFunctor() {}
+  HOSTDEVICE MaskedSelectGradFunctor() = default;
 
   HOSTDEVICE inline void operator()(OutT* out,
                                     const MT* mask,

paddle/phi/kernels/gpu/masked_select_kernel.cu

@@ -30,7 +30,7 @@ namespace phi {
 
 template <typename MT, typename InT, typename OutT>
 struct MaskedSelectFunctor {
-  HOSTDEVICE MaskedSelectFunctor() {}
+  HOSTDEVICE MaskedSelectFunctor() = default;
 
   HOSTDEVICE inline void operator()(OutT* out,
                                     const MT* mask,

paddle/phi/kernels/gpu/p_norm_kernel.cu

@@ -63,7 +63,7 @@ __device__ __forceinline__ double inline_pow(double base, double exponent) {
 
 template <typename T>
 struct NonzeroFunctor {
-  HOSTDEVICE explicit inline NonzeroFunctor() {}
+  HOSTDEVICE explicit inline NonzeroFunctor() = default;
   HOSTDEVICE inline T operator()(const T x) const {
     return static_cast<T>(static_cast<double>(x) != 0);
   }
@@ -71,7 +71,7 @@ struct NonzeroFunctor {
 
 template <typename T>
 struct AbsFunctor {
-  HOSTDEVICE explicit inline AbsFunctor() {}
+  HOSTDEVICE explicit inline AbsFunctor() = default;
   HOSTDEVICE inline T operator()(const T x) const {
     return static_cast<T>(inline_abs(x));
   }

paddle/phi/kernels/gpu/rms_norm_kernel.cu

@@ -177,9 +177,7 @@ typename std::enable_if<HasCanPackAs<T>::value == false, bool>::type CanPackAs(
 
 template <typename T, int N>
 struct alignas(sizeof(T) * N) Pack {
-  __device__ Pack() {
-    // do nothing
-  }
+  __device__ Pack() = default;
   T elem[N];
 };
 

test/cpp/fluid/fused/cudnn_bn_add_relu_test.cc

@@ -375,7 +375,7 @@ class CudnnBNAddReluTester {
     SetUp();
   }
 
-  ~CudnnBNAddReluTester() {}
+  ~CudnnBNAddReluTester() = default;
 
   void CheckForward(float diff, bool is_relative_atol = false) {
     LOG(INFO) << "[CheckForward, diff=" << diff

test/cpp/fluid/fused/cudnn_norm_conv_test.cc

@@ -235,7 +235,7 @@ class CudnnNormConvolutionTester {
     SetUp();
   }
 
-  ~CudnnNormConvolutionTester() {}
+  ~CudnnNormConvolutionTester() = default;
 
   void CheckForward(float diff, bool is_relative_atol = false) {
     phi::GPUContext *ctx = static_cast<phi::GPUContext *>(

test/cpp/fluid/fused/fused_dropout_act_bias_test.cu

@@ -89,7 +89,7 @@ struct TestFusedDropoutActBias {
     ctx = reinterpret_cast<phi::GPUContext *>(devicectx);
   }
 
-  ~TestFusedDropoutActBias() {}
+  ~TestFusedDropoutActBias() = default;
 
   void SetUp() {
     const int n = rows * cols;

test/cpp/fluid/fused/fused_layernorm_residual_dropout_bias_test.cu

@@ -95,7 +95,7 @@ struct TestFusedLayernormResidualDropoutBias {
     ctx = reinterpret_cast<phi::GPUContext *>(devicectx);
   }
 
-  ~TestFusedLayernormResidualDropoutBias() {}
+  ~TestFusedLayernormResidualDropoutBias() = default;
 
   void SetUp() {
     using U = LayerNormParamType<T>;

test/cpp/inference/api/analyzer_dam_tester.cc

@@ -35,7 +35,7 @@ struct DataRecord {
   size_t batch_size{1};
   size_t num_samples;  // total number of samples
 
-  DataRecord() {
+  DataRecord() {  // NOLINT
     turns = new std::vector<std::vector<
         int64_t>>[FLAGS_max_turn_num];  // turns data : FLAGS_max_turn_num
     turns_mask = new std::vector<std::vector<
@@ -48,7 +48,7 @@ struct DataRecord {
     Load(path);
   }
 
-  ~DataRecord() {
+  ~DataRecord() {  // NOLINT
     delete[] turns;
     delete[] turns_mask;
   }

test/cpp/inference/api/api_tester.cc

@@ -50,7 +50,7 @@ class DemoPredictor : public PaddlePredictor {
     return nullptr;
   }
 
-  ~DemoPredictor() override {}
+  ~DemoPredictor() override = default;
 };
 
 template <>