[clang-tidy] NO.25 enable modernize-use-transparent-functors

paddle/common/ddim.cc

@@ -248,7 +248,7 @@ DDim DDim::reshape(std::vector<int>& shape) const {
   if (it != shape.end()) {
     int index = static_cast<int>(std::distance(shape.begin(), it));
     int reshape_out_product =
-        std::accumulate(shape.begin(), shape.end(), -1, std::multiplies<int>());
+        std::accumulate(shape.begin(), shape.end(), -1, std::multiplies<>());
     shape[index] = static_cast<int>(product(in_dims)) / reshape_out_product;
   }
 

paddle/phi/infermeta/spmd_rules/reshape.cc

@@ -44,8 +44,8 @@ std::vector<int64_t> InferTargetShape(const std::vector<int64_t>& shape,
     }
   }
 
-  int64_t product = std::accumulate(
-      shape.begin(), shape.end(), 1, std::multiplies<int64_t>());
+  int64_t product =
+      std::accumulate(shape.begin(), shape.end(), 1, std::multiplies<>());
   if (product > 0) {
     PADDLE_ENFORCE_EQ(
         product,
@@ -72,7 +72,7 @@ std::vector<std::shared_ptr<DimTrans>> MakeReshapeDimTrans(
     const std::vector<int64_t>& tgt_shape) {
   std::vector<std::shared_ptr<DimTrans>> ret;
   int64_t total_elem_num_src = std::accumulate(
-      src_shape.begin(), src_shape.end(), 1, std::multiplies<int64_t>());
+      src_shape.begin(), src_shape.end(), 1, std::multiplies<>());
   std::vector<int64_t> inferred_tgt_shape =
       InferTargetShape(tgt_shape, total_elem_num_src);
 
@@ -268,8 +268,8 @@ SpmdInfo ReshapeInferSpmdReverse(const DistMetaTensor& x,
   // The out_shape may contain '-1', which will cause error
   // when inferring the transformation from out_shape to
   // x_shape, so infer the '-1' value before inferrng DimTrans
-  int64_t nelm = std::accumulate(
-      x_shape.begin(), x_shape.end(), 1, std::multiplies<int64_t>());
+  int64_t nelm =
+      std::accumulate(x_shape.begin(), x_shape.end(), 1, std::multiplies<>());
   out_shape = InferTargetShape(out_shape, nelm);
   std::vector<std::shared_ptr<DimTrans>> trans =
       MakeReshapeDimTrans(out_shape, x_shape);

paddle/pir/core/ir_printer.cc

@@ -266,7 +266,7 @@ void IrPrinter::PrintOpResult(Operation* op) {
 
 void IrPrinter::PrintAttributeMap(Operation* op) {
   AttributeMap attributes = op->attributes();
-  std::map<std::string, Attribute, std::less<std::string>> order_attributes(
+  std::map<std::string, Attribute, std::less<>> order_attributes(
       attributes.begin(), attributes.end());
   os << " {";
 

test/cpp/fluid/memory/thread_local_allocator_test.cc

@@ -78,7 +78,7 @@ TEST(ThreadLocalAllocator, cross_scope_release) {
   for (auto &addresses : allocator_addresses) {
     std::sort(addresses.begin(), addresses.end());
     ASSERT_EQ(std::adjacent_find(
-                  addresses.begin(), addresses.end(), std::equal_to<void *>()),
+                  addresses.begin(), addresses.end(), std::equal_to<>()),
               addresses.end());
   }
 

test/cpp/inference/api/analyzer_capi_exp_pd_tensor_tester.cc

@@ -69,7 +69,7 @@ void PD_run() {
   int32_t out_num = std::accumulate(output_shape->data,
                                     output_shape->data + output_shape->size,
                                     1,
-                                    std::multiplies<int32_t>());
+                                    std::multiplies<>());
   out_data.resize(out_num);
   PD_TensorCopyToCpuFloat(output_tensor, out_data.data());
   LOG(INFO) << "Output tensor name is: " << PD_TensorGetName(output_tensor);