[Opt Code] Opt GetExpectedKernelType code of sum (#46678)

* refine sum_op mkldnn code

* refine sum_op mkldnn code

paddle/fluid/operators/sum_op.cc

@@ -39,9 +39,6 @@ class SumOp : public framework::OperatorWithKernel {
     auto x_vars = ctx.MultiInputVar("X");
     auto x_vars_name = ctx.InputNames("X");
 
-    framework::LibraryType library{framework::LibraryType::kPlain};
-    framework::DataLayout layout{framework::DataLayout::kAnyLayout};
-
     PADDLE_ENFORCE_GT(
         x_vars.size(),
         0,
@@ -80,8 +77,7 @@ class SumOp : public framework::OperatorWithKernel {
 
       auto data_type = static_cast<framework::proto::VarType::Type>(dtype);
 #ifdef PADDLE_WITH_MKLDNN
-      if (library == framework::LibraryType::kPlain &&
-          this->CanMKLDNNBeUsed(ctx, data_type) &&
+      if (this->CanMKLDNNBeUsed(ctx, data_type) &&
           (data_type == framework::proto::VarType::FP32 ||
            data_type == framework::proto::VarType::BF16) &&
           ctx.OutputVar("Out")->IsType<framework::LoDTensor>()) {
@@ -96,25 +92,19 @@ class SumOp : public framework::OperatorWithKernel {
         }
       }
 #endif
-
-      return framework::OpKernelType(
-          data_type, ctx.GetPlace(), layout, library);
+      return framework::OpKernelType(data_type, ctx.GetPlace());
     } else if (x_vars[0]->IsType<phi::SelectedRows>()) {
       for (auto& var : x_vars) {
         auto& value = var->Get<phi::SelectedRows>().value();
         if (value.IsInitialized()) {
           return framework::OpKernelType(
               framework::TransToProtoVarType(value.dtype()),
-              ctx.device_context(),
-              layout,
-              library);
+              ctx.device_context());
         }
       }
       // if input sparse vars are not initialized, use an default kernel type.
       return framework::OpKernelType(framework::proto::VarType::FP32,
-                                     ctx.device_context(),
-                                     layout,
-                                     library);
+                                     ctx.device_context());
     } else if (x_vars[0]->IsType<framework::LoDTensorArray>()) {
       for (auto& x_var : x_vars) {
         auto& array = x_var->Get<framework::LoDTensorArray>();
@@ -122,9 +112,7 @@ class SumOp : public framework::OperatorWithKernel {
           if (each.numel() != 0 && each.IsInitialized()) {
             return framework::OpKernelType(
                 framework::TransToProtoVarType(each.dtype()),
-                ctx.device_context(),
-                layout,
-                library);
+                ctx.device_context());
           }
         }
       }