Fix/gcc 4.8 ubt link error (#18558)

* test=develop, fix docker with paddle nccl problem

* test=develop, fix/gcc_4.8_ubt_link_error

* test=develop, fix code format

paddle/fluid/framework/data_layout_transform.h

@@ -15,6 +15,7 @@
 #pragma once
 
 #include <map>
+#include <unordered_map>
 #include <vector>
 #include "paddle/fluid/framework/op_kernel_type.h"
 #include "paddle/fluid/framework/tensor.h"
@@ -52,11 +53,11 @@ inline DataLayout ToPaddleLayout(const MKLDNNFormat& format) {
 
 inline MKLDNNDataType ToMKLDNNDataType(proto::VarType::Type type) {
   static std::unordered_map<int, MKLDNNDataType> dict{
-      {DataTypeTrait<float>::DataType, MKLDNNDataType::f32},
-      {DataTypeTrait<int8_t>::DataType, MKLDNNDataType::s8},
-      {DataTypeTrait<uint8_t>::DataType, MKLDNNDataType::u8},
-      {DataTypeTrait<int16_t>::DataType, MKLDNNDataType::s16},
-      {DataTypeTrait<int32_t>::DataType, MKLDNNDataType::s32}};
+      {DataTypeTrait<float>::DataType(), MKLDNNDataType::f32},
+      {DataTypeTrait<int8_t>::DataType(), MKLDNNDataType::s8},
+      {DataTypeTrait<uint8_t>::DataType(), MKLDNNDataType::u8},
+      {DataTypeTrait<int16_t>::DataType(), MKLDNNDataType::s16},
+      {DataTypeTrait<int32_t>::DataType(), MKLDNNDataType::s32}};
   auto iter = dict.find(static_cast<int>(type));
   if (iter != dict.end()) return iter->second;
   return MKLDNNDataType::data_undef;

paddle/fluid/framework/data_type.h

@@ -28,7 +28,9 @@ struct DataTypeTrait {};
 // Stub handle for void
 template <>
 struct DataTypeTrait<void> {
-  constexpr static auto DataType = proto::VarType::RAW;
+  constexpr static proto::VarType::Type DataType() {
+    return proto::VarType::RAW;
+  }
 };
 
 #define _ForEachDataTypeHelper_(callback, cpp_type, proto_type) \
@@ -48,7 +50,7 @@ struct DataTypeTrait<void> {
 #define DefineDataTypeTrait(cpp_type, proto_type)                           \
   template <>                                                               \
   struct DataTypeTrait<cpp_type> {                                          \
-    constexpr static auto DataType = proto_type;  \
+    constexpr static proto::VarType::Type DataType() { return proto_type; } \
   }
 
 _ForEachDataType_(DefineDataTypeTrait);

paddle/fluid/framework/tensor_impl.h

@@ -24,10 +24,10 @@ template <typename T>
 inline const T* Tensor::data() const {
   check_memory_size();
   bool valid =
-      std::is_same<T, void>::value || type_ == DataTypeTrait<T>::DataType;
+      std::is_same<T, void>::value || type_ == DataTypeTrait<T>::DataType();
   PADDLE_ENFORCE(
       valid, "Tensor holds the wrong type, it holds %s, but desires to be %s",
-      DataTypeToString(type_), DataTypeToString(DataTypeTrait<T>::DataType));
+      DataTypeToString(type_), DataTypeToString(DataTypeTrait<T>::DataType()));
 
   return reinterpret_cast<const T*>(
       reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
@@ -39,10 +39,10 @@ template <typename T>
 inline T* Tensor::data() {
   check_memory_size();
   bool valid =
-      std::is_same<T, void>::value || type_ == DataTypeTrait<T>::DataType;
+      std::is_same<T, void>::value || type_ == DataTypeTrait<T>::DataType();
   PADDLE_ENFORCE(
       valid, "Tensor holds the wrong type, it holds %s, but desires to be %s",
-      DataTypeToString(type_), DataTypeToString(DataTypeTrait<T>::DataType));
+      DataTypeToString(type_), DataTypeToString(DataTypeTrait<T>::DataType()));
   return reinterpret_cast<T*>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
                               offset_);
 }
@@ -59,7 +59,7 @@ template <typename T>
 inline T* Tensor::mutable_data(platform::Place place, size_t requested_size) {
   static_assert(std::is_pod<T>::value, "T must be POD");
   return reinterpret_cast<T*>(
-      mutable_data(place, DataTypeTrait<T>::DataType, requested_size));
+      mutable_data(place, DataTypeTrait<T>::DataType(), requested_size));
 }
 
 inline Tensor ReshapeToMatrix(const Tensor& src, int num_col_dims) {

paddle/fluid/inference/api/api_impl.cc

@@ -280,13 +280,13 @@ bool NativePaddlePredictor::GetFetch(std::vector<PaddleTensor> *outputs,
     auto type = fetch.type();
     auto output = &(outputs->at(i));
     output->name = fetchs_[idx]->Input("X")[0];
-    if (type == framework::DataTypeTrait<float>::DataType) {
+    if (type == framework::DataTypeTrait<float>::DataType()) {
       GetFetchOne<float>(fetch, output);
       output->dtype = PaddleDType::FLOAT32;
-    } else if (type == framework::DataTypeTrait<int64_t>::DataType) {
+    } else if (type == framework::DataTypeTrait<int64_t>::DataType()) {
       GetFetchOne<int64_t>(fetch, output);
       output->dtype = PaddleDType::INT64;
-    } else if (type == framework::DataTypeTrait<int32_t>::DataType) {
+    } else if (type == framework::DataTypeTrait<int32_t>::DataType()) {
       GetFetchOne<int32_t>(fetch, output);
       output->dtype = PaddleDType::INT32;
     } else {

paddle/fluid/operators/conv_op.cc

@@ -103,8 +103,8 @@ framework::OpKernelType ConvOp::GetExpectedKernelType(
     library = framework::LibraryType::kMKLDNN;
     layout = framework::DataLayout::kMKLDNN;
     customized_type_value =
-        (input_data_type == framework::DataTypeTrait<int8_t>::DataType ||
-         input_data_type == framework::DataTypeTrait<uint8_t>::DataType)
+        (input_data_type == framework::DataTypeTrait<int8_t>::DataType() ||
+         input_data_type == framework::DataTypeTrait<uint8_t>::DataType())
             ? kConvMKLDNNINT8
             : kConvMKLDNNFP32;
   }

paddle/fluid/operators/detection/prior_box_op.cc

@@ -87,10 +87,10 @@ class PriorBoxOp : public framework::OperatorWithKernel {
       auto input_image_type = ctx.Input<framework::Tensor>("Image")->type();
       int customized_type_value =
           framework::OpKernelType::kDefaultCustomizedTypeValue;
-      if (input_image_type == framework::DataTypeTrait<float>::DataType) {
+      if (input_image_type == framework::DataTypeTrait<float>::DataType()) {
         customized_type_value = kPriorBoxFLOAT;
       } else if (input_image_type ==
-                 framework::DataTypeTrait<double>::DataType) {
+                 framework::DataTypeTrait<double>::DataType()) {
         customized_type_value = kPriorBoxDOUBLE;
       }
       return framework::OpKernelType(input_input_type, ctx.GetPlace(), layout_,

paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc

@@ -358,13 +358,13 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
 
     auto dst_dt = unsigned_output
                       ? paddle::framework::ToMKLDNNDataType(
-                            framework::DataTypeTrait<uint8_t>::DataType)
+                            framework::DataTypeTrait<uint8_t>::DataType())
                       : paddle::framework::ToMKLDNNDataType(
-                            framework::DataTypeTrait<int8_t>::DataType);
+                            framework::DataTypeTrait<int8_t>::DataType());
 
     if (force_fp32_output) {
       dst_dt = paddle::framework::ToMKLDNNDataType(
-          framework::DataTypeTrait<float>::DataType);
+          framework::DataTypeTrait<float>::DataType());
     }
 
     if (fuse_residual_conn) {

paddle/fluid/platform/mkldnn_reuse.h

@@ -917,7 +917,7 @@ static void SetDstMemoryQuantized(
 
   auto dst_md = platform::MKLDNNMemDesc(
       {dst_tz}, paddle::framework::ToMKLDNNDataType(
-                    framework::DataTypeTrait<T>::DataType),
+                    framework::DataTypeTrait<T>::DataType()),
       dst_fmt);
   dst_pd.reset(new mkldnn::memory::primitive_desc(dst_md, engine));
   dst_memory.reset(new mkldnn::memory(*dst_pd, to_void_cast<T>(output_data)));