Add As_extra to dropout op and lrn op (#35349)

* add as_extra to dropout op and lrn op

* refine details

* fix dropout op maker

paddle/fluid/operators/dropout_op.cc

@@ -51,9 +51,12 @@ class DropoutOpMaker : public framework::OpProtoAndCheckerMaker {
     AddInput("Seed",
              "The seed of dropout op, it has higher priority than the attr "
              "fix_seed and seed")
-        .AsDispensable();
+        .AsDispensable()
+        .AsExtra();
     AddOutput("Out", "The output of dropout op.");
-    AddOutput("Mask", "The random sampled dropout mask.").AsIntermediate();
+    AddOutput("Mask", "The random sampled dropout mask.")
+        .AsIntermediate()
+        .AsExtra();
 
     AddAttr<float>("dropout_prob", "Probability of setting units to zero.")
         .SetDefault(.5f)
@@ -72,8 +75,9 @@ class DropoutOpMaker : public framework::OpProtoAndCheckerMaker {
                   "training. Setting this flag to true is only useful in "
                   "unittest or for debug that always the same output units "
                   "will be dropped.")
-        .SetDefault(false);
-    AddAttr<int>("seed", "Dropout random seed.").SetDefault(0);
+        .SetDefault(false)
+        .AsExtra();
+    AddAttr<int>("seed", "Dropout random seed.").SetDefault(0).AsExtra();
     AddAttr<std::string>(
         "dropout_implementation",
         "[\"downgrade_in_infer\"|\"upscale_in_train\"]"

paddle/fluid/operators/lrn_op.cc

@@ -274,7 +274,8 @@ class LRNOpMaker : public framework::OpProtoAndCheckerMaker {
         .GreaterThan(0.0);
     AddAttr<bool>("use_mkldnn",
                   "(bool, default false) Only used in mkldnn kernel")
-        .SetDefault(false);
+        .SetDefault(false)
+        .AsExtra();
     AddAttr<std::string>(
         "data_format",
         "(string, default NCHW) Only used in "
@@ -285,7 +286,8 @@ class LRNOpMaker : public framework::OpProtoAndCheckerMaker {
     AddAttr<bool>("is_test",
                   "(bool, default false) Set to true for inference only, false "
                   "for training. Some layers may run faster when this is true.")
-        .SetDefault(false);
+        .SetDefault(false)
+        .AsExtra();
 
     AddComment(R"DOC(
 Local Response Normalization Operator.