diff --git a/paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py b/paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py
index 7e7114111c4e1d1ca6f7a4cbafa183284248b854..a67356d380b9e0b5ce03b92ce11f28a030d20d18 100644
--- a/paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py
+++ b/paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py
@@ -127,6 +127,10 @@ def ReadBwdFile(filepath):
 ######################
 ###  Yaml Parsers  ###
 ######################
+def ParseIntermediate(string):
+    return [v.strip() for v in string.split(",")]
+
+
 def ParseYamlArgs(string):
     # Example: const Tensor& x, const Tensor& y, bool transpose_x, bool transpose_y
 
@@ -728,11 +732,11 @@ def GenerateNodeCreationCodes(fwd_api_name, bwd_api_name,
     return node_creation_str
 
 
-def GenerateForwardDefinition(fwd_api_name, bwd_api_name,
-                              forward_inputs_position_map,
-                              forward_outputs_position_map, forward_attrs_list,
-                              backward_fwd_input_map, backward_grad_input_map,
-                              backward_grad_output_map, backward_attrs_list):
+def GenerateForwardDefinition(
+        fwd_api_name, bwd_api_name, forward_inputs_position_map,
+        forward_outputs_position_map, forward_attrs_list,
+        backward_fwd_input_map, backward_grad_input_map,
+        backward_grad_output_map, backward_attrs_list, intermediate_outputs):
     # fwd_api_name = ""
     # forward_inputs_position_map = { "name" : [type, fwd_position] }
     # forward_outputs_position_map = { "name" : [type, fwd_position] }
@@ -776,13 +780,20 @@ def GenerateForwardDefinition(fwd_api_name, bwd_api_name,
     inputs_call_args_str = ", ".join(inputs_call_list)
 
     # Forward Full Logic
-    forward_call_str = f"auto api_result = paddle::experimental::{fwd_api_name}({inputs_call_args_str});"
+    if len(intermediate_outputs) == 0:
+        function_name = fwd_api_name
+    else:
+        function_name = fwd_api_name + "_intermediate"
+    forward_call_str = f"auto api_result = paddle::experimental::{function_name}({inputs_call_args_str});"
 
     # Get return type list & outputs
-    num_outputs = len(forward_outputs_position_map.keys())
+    num_outputs = len(forward_outputs_position_map.keys()) - len(
+        intermediate_outputs)
     returns_type_list = ["" for i in range(num_outputs)]
     returns_list = ["" for i in range(num_outputs)]
     for name, (rtype, pos) in forward_outputs_position_map.items():
+        if name in intermediate_outputs:
+            continue
         if num_outputs == 1:
             returns_list[0] = f"api_result"
         else:
@@ -1001,6 +1012,10 @@ if __name__ == "__main__":
         fwd_args_str = fwd_api['args']
         fwd_returns_str = fwd_api['output']
 
+        intermediate_outputs = []
+        if 'intermediate' in fwd_api.keys():
+            intermediate_outputs = ParseIntermediate(fwd_api['intermediate'])
+
         bwd_api_name = fwd_api['backward']
         assert bwd_api_name in grad_api_dict.keys()
         bwd_api = grad_api_dict[bwd_api_name]
@@ -1076,7 +1091,7 @@ if __name__ == "__main__":
             fwd_api_name, bwd_api_name, forward_inputs_position_map,
             forward_outputs_position_map, forward_attrs_list,
             backward_fwd_input_map, backward_grad_input_map,
-            backward_grad_output_map, backward_attrs_list)
+            backward_grad_output_map, backward_attrs_list, intermediate_outputs)
         print("Generated Forward Definition: ", forward_definition_str)
         print("Generated Forward Declaration: ", forward_declaration_str)
         forward_definition_str += definition_declaration_pair[0]