【prim】merge branch for GradOpMaker codeGen to clear code (#53874)

* review

* modify opcompat bug

* modify pybind

paddle/fluid/operators/generator/templates/operator_utils.c.j2

@@ -472,15 +472,14 @@ REGISTER_OPERATOR({{name}}, ops::{{name | to_pascal_case}}Op,
 {% if not "forward" in op %}{# it is a forward op #}
                   ops::{{name | to_pascal_case}}OpMaker,
 {% endif %}
-{% if "only_backward_composite" in op and op["only_backward_composite"] is true %}{# backward #}
-{% elif "backward" in op and op["backward"] is not none %}
+{% if "backward" in op and op["backward"] is not none and op["only_backward_composite"] is false%}{# backward #}
   {% set backward_name = op["backward"] %}
                   ops::{{backward_name | to_pascal_case}}OpMaker<paddle::framework::OpDesc>,
                   ops::{{backward_name | to_pascal_case}}OpMaker<paddle::imperative::OpBase>,
-{% elif "forward" in op %}
-{% else %}
+{% elif "forward" not in op %}
                   paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
                   paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
+{% else %}
 {% endif %}
 {% if op is supports_inplace %}{# inplace#}
                   ops::{{name | to_pascal_case}}InplaceInferer,

paddle/fluid/operators/generator/tests_utils.py

@@ -54,10 +54,15 @@ def is_base_op(op):
     return "kernel" in op and "infer_meta" in op
 
 
+# this func describe a op that only has composite implementation，
+# without kernel implementation. kernel implementation include
+# other op (invoke) or c++ kernel (kernel + infermeta)
 def is_only_composite_op(op):
     return "composite" in op and "kernel" not in op and "invoke" not in op
 
 
+# this func describe a op that has composite implementation，
+# maybe also has kernel implementation.
 def is_composite_op(op):
     return "composite" in op
 

paddle/fluid/prim/api/composite_backward/composite_double_backward_api.h

-// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.

paddle/fluid/pybind/pybind.cc

@@ -1363,12 +1363,12 @@ All parameter, weight, gradient are variables in Paddle.
             }
           } else {
             if (grad_op_maker != nullptr) {
-              VLOG(3) << "Prim Flag Close: Runing origin grad fun for "
+              VLOG(6) << "Prim Flag Close: Runing origin grad fun for "
                       << op_desc.Type();
               grad_op_descs = grad_op_maker(
                   op_desc, no_grad_set, &grad_to_var, grad_sub_block);
             } else {
-              VLOG(3) << "Prim Flag Close: Runing composite grad fun for "
+              VLOG(6) << "Prim Flag Close: Runing composite grad fun for "
                       << op_desc.Type();
               grad_op_descs = grad_comp_op_maker(op_desc,
                                                  no_grad_set,

paddle/phi/api/yaml/op_compat.yaml

@@ -1525,12 +1525,6 @@
     attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32",
              bool use_quantizer = false, float Scale_x = 1.0f, float Scale_y = 1.0f, float Scale_out = 1.0f]
 
-- op : maximum (elementwise_min)
-  backward : maximum_grad (elementwise_min_grad)
-  extra :
-    attrs : [bool use_mkldnn = false, str mkldnn_data_type = "float32",
-             bool use_quantizer = false, float Scale_x = 1.0f, float Scale_y = 1.0f, float Scale_out = 1.0f]
-
 - op : maxout
   inputs :
     x : X
@@ -1591,6 +1585,12 @@
     out : Out
   drop_empty_grad : [inputs_grad]
 
+- op : minimum (elementwise_min)
+  backward : minimum_grad (elementwise_min_grad)
+  extra :
+    attrs : [bool use_mkldnn = false, str x_data_format = "", str y_data_format = "", str mkldnn_data_type = "float32",
+             bool use_quantizer = false, float Scale_x = 1.0f, float Scale_y = 1.0f, float Scale_out = 1.0f]
+
 - op : mish
   backward : mish_grad
   extra :