[clang-tidy] No.34,36 enable performance-noexcept-move-constructor,mo…

…dernize-use-transparent-functors (PaddlePaddle#56261)

* fix

* fix

* CI

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* CI

* fix

* CI

.clang-tidy

@@ -186,7 +186,7 @@ modernize-use-equals-default,
 -modernize-use-noexcept,
 modernize-use-nullptr,
 modernize-use-override,
--modernize-use-transparent-functors,
+modernize-use-transparent-functors,
 -modernize-use-uncaught-exceptions,
 performance-faster-string-find,
 -performance-for-range-copy,
@@ -197,7 +197,7 @@ performance-inefficient-string-concatenation,
 -performance-move-const-arg,
 -performance-move-constructor-init,
 -performance-no-automatic-move,
--performance-noexcept-move-constructor,
+performance-noexcept-move-constructor,
 -performance-trivially-destructible,
 -performance-type-promotion-in-math-fn,
 -performance-unnecessary-copy-initialization,

paddle/fluid/distributed/fleet_executor/dist_model_tensor_wrapper.cc

@@ -78,7 +78,8 @@ DistModelDataBuf& DistModelDataBuf::operator=(const DistModelDataBuf& other) {
   return *this;
 }
 
-DistModelDataBuf& DistModelDataBuf::operator=(DistModelDataBuf&& other) {
+DistModelDataBuf& DistModelDataBuf::operator=(
+    DistModelDataBuf&& other) noexcept {
   data_ = other.data_;
   memory_owned_ = other.memory_owned_;
   length_ = other.length_;
@@ -88,7 +89,7 @@ DistModelDataBuf& DistModelDataBuf::operator=(DistModelDataBuf&& other) {
   return *this;
 }
 
-DistModelDataBuf::DistModelDataBuf(DistModelDataBuf&& other)
+DistModelDataBuf::DistModelDataBuf(DistModelDataBuf&& other) noexcept
     : data_(other.data_),
       length_(other.length_),
       memory_owned_(other.memory_owned_) {

paddle/fluid/distributed/fleet_executor/dist_model_tensor_wrapper.h

@@ -61,8 +61,8 @@ class DistModelDataBuf {
   void Resize(size_t length);
 
   DistModelDataBuf& operator=(const DistModelDataBuf& other);
-  DistModelDataBuf& operator=(DistModelDataBuf&& other);
-  DistModelDataBuf(DistModelDataBuf&& other);
+  DistModelDataBuf& operator=(DistModelDataBuf&& other) noexcept;
+  DistModelDataBuf(DistModelDataBuf&& other) noexcept;
   DistModelDataBuf(const DistModelDataBuf& other);
 
  private:

paddle/fluid/framework/ir/memory_optimize_pass/eager_deletion_pass.cc

@@ -70,7 +70,7 @@ static int64_t GetMemorySize(
          std::accumulate(dims.begin(),
                          dims.end(),
                          static_cast<int64_t>(1),
-                         std::multiplies<int64_t>());
+                         std::multiplies<int64_t>());  // NOLINT
 }
 
 // Split all variables in the graph into phi::DenseTensor and

paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.cc

@@ -121,7 +121,7 @@ int64_t MemoryReusePass::GetMemorySize(const details::VarHandle &var) const {
   return std::accumulate(shapes.begin(),
                          shapes.end(),
                          static_cast<int64_t>(1),
-                         std::multiplies<int64_t>()) *
+                         std::multiplies<>()) *
          sizeof_dtype;
 }
 

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

@@ -354,8 +354,9 @@ void ConvBiasFusePass::FuseConvBias(ir::Graph* graph,
               "must have same shape, but they are different: %s, %s.",
               conv_bias_tensor->dims(),
               eltwise_bias_tensor->dims()));
-      *conv_bias_tensor = tensor_apply_eltwise(
-          *conv_bias_tensor, *eltwise_bias_tensor, std::plus<float>());
+      *conv_bias_tensor = tensor_apply_eltwise(*conv_bias_tensor,
+                                               *eltwise_bias_tensor,
+                                               std::plus<float>());  // NOLINT
 
       conv->Op()->SetOutput("Output",
                             std::vector<std::string>({eltwise_out->Name()}));

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

@@ -141,14 +141,15 @@ void ShuffleChannelMKLDNNDetectPass::ApplyImpl(ir::Graph* graph) const {
         if ((reshape1_shape[i] == unk_dim_idx) && (i != 0)) {
           // there is no sufficient info
           if (!all_positive) return;
-          reshape1_shape[i] = std::accumulate(x_shape1.begin(),
-                                              x_shape1.end(),
-                                              static_cast<int64_t>(1),
-                                              std::multiplies<int64_t>()) /
-                              std::accumulate(reshape1_shape.begin(),
-                                              reshape1_shape.end(),
-                                              static_cast<int64_t>(-1),
-                                              std::multiplies<int64_t>());
+          reshape1_shape[i] =
+              std::accumulate(x_shape1.begin(),
+                              x_shape1.end(),
+                              static_cast<int64_t>(1),
+                              std::multiplies<int64_t>()) /  // NOLINT
+              std::accumulate(reshape1_shape.begin(),
+                              reshape1_shape.end(),
+                              static_cast<int64_t>(-1),
+                              std::multiplies<int64_t>());  // NOLINT
           break;
         }
       }
@@ -160,14 +161,15 @@ void ShuffleChannelMKLDNNDetectPass::ApplyImpl(ir::Graph* graph) const {
         if ((reshape2_shape[i] == unk_dim_idx) && (i != 0)) {
           // there is no sufficient info
           if (!all_positive) return;
-          reshape2_shape[i] = std::accumulate(x_shape2.begin(),
-                                              x_shape2.end(),
-                                              static_cast<int64_t>(1),
-                                              std::multiplies<int64_t>()) /
-                              std::accumulate(reshape2_shape.begin(),
-                                              reshape2_shape.end(),
-                                              static_cast<int64_t>(-1),
-                                              std::multiplies<int64_t>());
+          reshape2_shape[i] =
+              std::accumulate(x_shape2.begin(),
+                              x_shape2.end(),
+                              static_cast<int64_t>(1),
+                              std::multiplies<int64_t>()) /  // NOLINT
+              std::accumulate(reshape2_shape.begin(),
+                              reshape2_shape.end(),
+                              static_cast<int64_t>(-1),
+                              std::multiplies<int64_t>());  // NOLINT
           break;
         }
       }

paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc

@@ -141,14 +141,15 @@ void ShuffleChannelDetectPass::ApplyImpl(ir::Graph* graph) const {
         if ((reshape1_shape[i] == unk_dim_idx) && (i != 0)) {
           // there is no sufficient info
           if (!all_positive) return;
-          reshape1_shape[i] = std::accumulate(x_shape1.begin(),
-                                              x_shape1.end(),
-                                              static_cast<int64_t>(1),
-                                              std::multiplies<int64_t>()) /
-                              std::accumulate(reshape1_shape.begin(),
-                                              reshape1_shape.end(),
-                                              static_cast<int64_t>(-1),
-                                              std::multiplies<int64_t>());
+          reshape1_shape[i] =
+              std::accumulate(x_shape1.begin(),
+                              x_shape1.end(),
+                              static_cast<int64_t>(1),
+                              std::multiplies<int64_t>()) /  // NOLINT
+              std::accumulate(reshape1_shape.begin(),
+                              reshape1_shape.end(),
+                              static_cast<int64_t>(-1),
+                              std::multiplies<int64_t>());  // NOLINT
           break;
         }
       }
@@ -160,14 +161,15 @@ void ShuffleChannelDetectPass::ApplyImpl(ir::Graph* graph) const {
         if ((reshape2_shape[i] == unk_dim_idx) && (i != 0)) {
           // there is no sufficient info
           if (!all_positive) return;
-          reshape2_shape[i] = std::accumulate(x_shape2.begin(),
-                                              x_shape2.end(),
-                                              static_cast<int64_t>(1),
-                                              std::multiplies<int64_t>()) /
-                              std::accumulate(reshape2_shape.begin(),
-                                              reshape2_shape.end(),
-                                              static_cast<int64_t>(-1),
-                                              std::multiplies<int64_t>());
+          reshape2_shape[i] =
+              std::accumulate(x_shape2.begin(),
+                              x_shape2.end(),
+                              static_cast<int64_t>(1),
+                              std::multiplies<int64_t>()) /  // NOLINT
+              std::accumulate(reshape2_shape.begin(),
+                              reshape2_shape.end(),
+                              static_cast<int64_t>(-1),
+                              std::multiplies<int64_t>());  // NOLINT
           break;
         }
       }

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

@@ -97,7 +97,7 @@ void MemoryOptimizePass::CollectLifeCycle(
           auto var_bytes = std::accumulate(in_shape.begin(),
                                            in_shape.end(),
                                            (int64_t)1,
-                                           std::multiplies<int64_t>());
+                                           std::multiplies<>());
           persis_byte +=
               paddle::framework::SizeOfType(node->Var()->GetDataType()) *
               var_bytes;
@@ -183,8 +183,8 @@ void MemoryOptimizePass::CollectVarMemorySize(
         if (v < 0) v = fake_batch_size;
       }
 
-      int size = std::accumulate(
-          shape.begin(), shape.end(), 1, std::multiplies<int>());
+      int size =
+          std::accumulate(shape.begin(), shape.end(), 1, std::multiplies<>());
       (*space_table)[node->Var()->Name()] =
           size * paddle::framework::SizeOfType(node->Var()->GetDataType());
     }

paddle/fluid/inference/api/api.cc

@@ -40,7 +40,7 @@ int PaddleDtypeSize(PaddleDType dtype) {
   }
 }
 
-PaddleBuf::PaddleBuf(PaddleBuf &&other)
+PaddleBuf::PaddleBuf(PaddleBuf &&other) noexcept
     : data_(other.data_),
       length_(other.length_),
       memory_owned_(other.memory_owned_) {
@@ -74,7 +74,7 @@ PaddleBuf &PaddleBuf::operator=(const PaddleBuf &other) {
   return *this;
 }
 
-PaddleBuf &PaddleBuf::operator=(PaddleBuf &&other) {
+PaddleBuf &PaddleBuf::operator=(PaddleBuf &&other) noexcept {
   // only the buffer with external memory can be copied
   data_ = other.data_;
   length_ = other.length_;

paddle/fluid/inference/api/paddle_api.h

@@ -137,9 +137,9 @@ class PD_INFER_DECL PaddleBuf {
 
   ~PaddleBuf() { Free(); }
   PaddleBuf& operator=(const PaddleBuf&);
-  PaddleBuf& operator=(PaddleBuf&&);
+  PaddleBuf& operator=(PaddleBuf&&) noexcept;
   PaddleBuf() = default;
-  PaddleBuf(PaddleBuf&& other);
+  PaddleBuf(PaddleBuf&& other) noexcept;
 
  private:
   void Free();

paddle/fluid/operators/fused/resnet_unit_op.cc

@@ -21,10 +21,11 @@ namespace operators {
 // Shape of bitmask
 static framework::DDim GetBitmaskDims(std::vector<int> out_shape) {
   int c = out_shape.back();
-  int64_t nhw =
-      std::accumulate(
-          out_shape.begin(), out_shape.end(), 1, std::multiplies<int>()) /
-      c;
+  int64_t nhw = std::accumulate(out_shape.begin(),
+                                out_shape.end(),
+                                1,
+                                std::multiplies<int>()) /  // NOLINT
+                c;
   int32_t c_int32_elems = ((c + 63) & ~63) / 32;
   int32_t nhw_int32_elems = ((nhw + 31) & ~31);
   std::vector<int> bitmask_shape = {nhw_int32_elems, c_int32_elems, 1};

paddle/ir/core/op_base.cc

@@ -18,13 +18,13 @@ InterfaceValue::~InterfaceValue() {
   if (model_) free(model_);
 }
 
-InterfaceValue::InterfaceValue(InterfaceValue&& val) {
+InterfaceValue::InterfaceValue(InterfaceValue&& val) noexcept {
   type_id_ = val.type_id_;
   model_ = val.model_;
   val.model_ = nullptr;
 }
 
-InterfaceValue& InterfaceValue::operator=(InterfaceValue&& val) {
+InterfaceValue& InterfaceValue::operator=(InterfaceValue&& val) noexcept {
   swap(std::move(val));
   return *this;
 }

paddle/ir/core/op_base.h

@@ -43,9 +43,9 @@ class IR_API InterfaceValue {
   InterfaceValue() = default;
   explicit InterfaceValue(TypeId type_id) : type_id_(type_id) {}
   InterfaceValue(const InterfaceValue &) = delete;
-  InterfaceValue(InterfaceValue &&);
+  InterfaceValue(InterfaceValue &&) noexcept;
   InterfaceValue &operator=(const InterfaceValue &) = delete;
-  InterfaceValue &operator=(InterfaceValue &&);
+  InterfaceValue &operator=(InterfaceValue &&) noexcept;
   ~InterfaceValue();
   void swap(InterfaceValue &&val) {
     using std::swap;

paddle/phi/api/include/tensor.h

@@ -96,7 +96,7 @@ class PADDLE_API Tensor final {
   /**
    * @brief Construct a new Tensor object by move
    */
-  Tensor(Tensor&&) = default;
+  Tensor(Tensor&&) noexcept = default;
 
   /**
    * @brief Construct a new Tensor object by a TensorBase pointer
@@ -522,7 +522,7 @@ class PADDLE_API Tensor final {
    * @param x
    * @return Tensor&
    */
-  Tensor& operator=(Tensor&& x) &;
+  Tensor& operator=(Tensor&& x) & noexcept;
 
   /**
    * @brief Tensor operants

paddle/phi/api/lib/tensor.cc

@@ -399,7 +399,7 @@ void Tensor::reset() {
 
 Tensor &Tensor::operator=(const Tensor &x) & = default;
 
-Tensor &Tensor::operator=(Tensor &&x) & {
+Tensor &Tensor::operator=(Tensor &&x) &noexcept {
   impl_ = std::move(x.impl_);
   autograd_meta_ = std::move(x.autograd_meta_);
   name_ = std::move(x.name_);

paddle/phi/backends/cpu/cpu_context.cc

@@ -65,9 +65,9 @@ CPUContext::CPUContext(const Place& place)
 
 CPUContext::~CPUContext() = default;
 
-CPUContext::CPUContext(CPUContext&&) = default;
+CPUContext::CPUContext(CPUContext&&) = default;  // NOLINT
 
-CPUContext& CPUContext::operator=(CPUContext&&) = default;
+CPUContext& CPUContext::operator=(CPUContext&&) = default;  // NOLINT
 
 Eigen::DefaultDevice* CPUContext::eigen_device() const {
   return impl_->GetEigenDevice();

paddle/phi/backends/gpu/gpu_context.cc

@@ -814,9 +814,9 @@ struct GPUContext::Impl {
 
 thread_local AttributeMap GPUContext::Impl::dnn_attrs_ = {};
 
-GPUContext::GPUContext(GPUContext&&) = default;
+GPUContext::GPUContext(GPUContext&&) = default;  // NOLINT
 
-GPUContext& GPUContext::operator=(GPUContext&&) = default;
+GPUContext& GPUContext::operator=(GPUContext&&) = default;  // NOLINT
 
 GPUContext::GPUContext(const GPUPlace& place, bool init, int stream_priority)
     : DeviceContext(), impl_(std::make_unique<Impl>(place)) {

paddle/phi/core/dense_tensor.cc

@@ -79,7 +79,7 @@ DenseTensor& DenseTensor::operator=(const DenseTensor& other) {
   return *this;
 }
 
-DenseTensor& DenseTensor::operator=(DenseTensor&& other) {
+DenseTensor& DenseTensor::operator=(DenseTensor&& other) noexcept {
   meta_ = std::move(other.meta_);
   std::swap(holder_, other.holder_);
   storage_properties_ = std::move(other.storage_properties_);

paddle/phi/core/dense_tensor.h

@@ -69,7 +69,7 @@ class DenseTensor : public TensorBase,
   /// \brief DenseTensor shallow copy assignment.
   DenseTensor& operator=(const DenseTensor& other);
 
-  DenseTensor& operator=(DenseTensor&& other);
+  DenseTensor& operator=(DenseTensor&& other) noexcept;
 
   DenseTensor();
 

paddle/phi/core/device_context.cc

@@ -312,12 +312,12 @@ DeviceContext::DeviceContext(const DeviceContext& other) {
 #endif
 }
 
-DeviceContext::DeviceContext(DeviceContext&& other) {
+DeviceContext::DeviceContext(DeviceContext&& other) noexcept {
   impl_ = std::move(other.impl_);
 }
 
-DeviceContext& DeviceContext::operator=(DeviceContext&& other) = default;
-
+DeviceContext& DeviceContext::operator=(DeviceContext&& other) noexcept =
+    default;
 DeviceContext::~DeviceContext() = default;
 
 void DeviceContext::SetAllocator(const Allocator* allocator) {

paddle/phi/core/device_context.h

@@ -48,12 +48,12 @@ class PADDLE_API DeviceContext {
   /**
    * @brief Move construct.
    */
-  DeviceContext(DeviceContext&&);
+  DeviceContext(DeviceContext&&) noexcept;
 
   /**
    * @brief Move assign operator.
    */
-  DeviceContext& operator=(DeviceContext&&);
+  DeviceContext& operator=(DeviceContext&&) noexcept;
 
   /**
    * @brief Default destruct.

paddle/phi/core/sparse_coo_tensor.cc

@@ -21,7 +21,7 @@ SparseCooTensor::SparseCooTensor() {
   this->SetMember(non_zero_indices, non_zero_elements, {1}, true);
 }
 
-SparseCooTensor::SparseCooTensor(SparseCooTensor&& other) {  // NOLINT
+SparseCooTensor::SparseCooTensor(SparseCooTensor&& other) noexcept {
   this->non_zero_elements_ = other.non_zero_elements_;
   this->non_zero_indices_ = other.non_zero_indices_;
   this->coalesced_ = other.coalesced_;

paddle/phi/core/sparse_coo_tensor.h

@@ -55,7 +55,7 @@ class SparseCooTensor : public TensorBase,
   SparseCooTensor(const SparseCooTensor& other);
 
   /// \brief move constructor
-  SparseCooTensor(SparseCooTensor&& other);
+  SparseCooTensor(SparseCooTensor&& other) noexcept;
 
   /// \brief SparseCooTensor shallow copy assignment.
   SparseCooTensor& operator=(const SparseCooTensor& other);

paddle/phi/core/string_tensor.cc

@@ -49,7 +49,7 @@ StringTensor& StringTensor::operator=(const StringTensor& other) {
   return *this;
 }
 
-StringTensor& StringTensor::operator=(StringTensor&& other) {  // NOLINT
+StringTensor& StringTensor::operator=(StringTensor&& other) noexcept {
   meta_ = std::move(other.meta_);
   std::swap(holder_, other.holder_);
   return *this;