[NewIR] support custom verify in op definition generation (#55428)

* support custom verify

* fix

* fix

* fix

* fix coverage ci

* remove custom verify in assert

paddle/fluid/ir/dialect/op_generator/op_gen.py

@@ -307,6 +307,9 @@ class OpInfoParser:
         self.inplace_map = self.parse_op_inplace_info()
         self.view_map = self.parse_op_view_info()
 
+        # parse has_custom_verify
+        self.custom_verify = self.parse_custom_verify()
+
     def cross_check(self, name_list, type_list, optional_list=None):
         assert len(name_list) == len(
             type_list
@@ -316,6 +319,11 @@ class OpInfoParser:
                 optional_list
             ), "type list size != optional list size."
 
+    def parse_custom_verify(self):
+        if 'custom_verify' in self.op_yaml_item:
+            return self.op_yaml_item['custom_verify']
+        return False
+
     def parse_op_phi_name(self):
         if (self.parse_op_inplace_info() is None) and (
             self.parse_op_view_info() is None
@@ -980,6 +988,8 @@ def OpGenerator(
             )
 
             # generate op verify function str
+            op_verify_str = ''
+            if not op_info.custom_verify:
                 op_verify_str = gen_verify_func_str(
                     op_class_name,
                     op_input_type_list,

paddle/fluid/ir/dialect/pd_op.yaml

@@ -9,6 +9,7 @@
   data_transform: null
   inplace: null
   backward: null
+
 - name: fetch
   inputs:
   - typename: Tensor
@@ -150,18 +151,6 @@
   no_need_buffer: null
   data_transform: null
 
-- name: py_func_
-  inputs:
-  -  {typename: 'Tensor', name: x, optional: false, no_need_buffer: false, data_transform: {}}
-  attrs:
-  - {typename: 'int', name: forward_callable_id, default_value: '0'}
-  - {typename: 'int', name: backward_callable_id, default_value: '-1'}
-  - {typename: 'str[]', name: backward_skip_vars, default_value: '{}'}
-  outputs:
-  - {typename: 'Tensor', name: out, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-
 - name: embedding_grad_sparse
   inputs:
   - typename: Tensor