refine eager_gen for amp (#45211)

paddle/fluid/eager/auto_code_generator/final_state_generator/eager_gen.py

@@ -428,20 +428,6 @@ CHECK_NAN_AND_INF_TEMPLATE = \
 """  if (FLAGS_check_nan_inf) {{ egr::CheckTensorHasNanOrInf("{}", {}); }}
 """
 
-# This list contains ops that do not need to generate amp logic
-# All optimizer ops in this list
-no_amp_list = [
-    'adam_', 'adam', 'adamw_', 'adamw', 'average_accumulates',
-    'average_accumulates_', 'decayed_adagrad_', 'decayed_adagrad',
-    'dgc_momentum_', 'dgc_momentum', 'distributed_fused_lamb_',
-    'distributed_fused_lamb', 'dpsgd_', 'dpsgd', 'ftrl_', 'ftrl', 'lamb_',
-    'lamb', 'lars_momentum_', 'lars_momentum', 'merged_adam_', 'merged_adam',
-    'merged_momentum_', 'merged_momentum', 'momentum_', 'momentum',
-    'proximal_adagrad_', 'proximal_adagrad', 'proximal_gd_', 'proximal_gd',
-    'rmsprop_', 'rmsprop', 'sgd_', 'sgd', 'lamb_', 'lamb', 'assign_value_',
-    'sparse_momentum_', 'sparse_momentum', 'full_'
-]
-
 inplace_optional_out_type_map = {
     "Tensor":
     "paddle::optional<paddle::experimental::Tensor>&",
@@ -1126,15 +1112,13 @@ class DygraphForwardFunctionGenerator(DygraphFunctionGeneratorBase):
             returns_str = f"{returns_type_str}{{{returns_str}}}"
 
         # Node Creation Pre-Processing
-        # 1. Get Input AutoGradMeta
-
         if not self.is_forward_only:
+            # 1. Get Input AutoGradMeta
             inputs_autograd_meta_list = []
             compute_require_grad_args_list = ["trace_backward"]
             for name, (ttype, pos) in forward_inputs_position_map.items():
                 # Has corresponding grad output
                 has_corresponding_grad_output = False
-                if not self.is_forward_only:
                 for _, (_, corresponding_pos,
                         _) in backward_grad_outputs_map.items():
                     if pos == corresponding_pos:
@@ -1160,7 +1144,6 @@ class DygraphForwardFunctionGenerator(DygraphFunctionGeneratorBase):
                 compute_require_grad_args_list)
 
             # 2. Get Output AutoGradMeta
-        if not self.is_forward_only:
             outputs_autograd_meta_list = []
             num_fwd_outputs = len(forward_outputs_position_map.keys())
 
@@ -1200,11 +1183,8 @@ class DygraphForwardFunctionGenerator(DygraphFunctionGeneratorBase):
                         inplace_name, inplace_name)
 
             # Node Creation
-        if not self.is_forward_only:
             self.GenerateNodeCreationCodes()
             node_creation_str = self.node_creation_str
-        else:
-            node_creation_str = ""
 
         dygraph_event_str = f"{indent}paddle::platform::RecordEvent dygraph_entrance_record_event(\"{forward_api_name} dygraph\", paddle::platform::TracerEventType::Operator, 1);\n"
         forward_function_name = GetDygraphForwardFunctionName(forward_api_name)
@@ -1230,7 +1210,15 @@ class DygraphForwardFunctionGenerator(DygraphFunctionGeneratorBase):
                 amp_autocast_list_str, amp_call_str)
 
         # Generate forward_definition_str and forward_declaration_str
-        if not self.is_forward_only:
+        if self.is_forward_only:
+            if len(amp_tensors_vector_list) == 0:
+                amp_logic_str = ""
+            self.forward_definition_str += FORWARD_ONLY_FUNCTION_TEMPLATE.format(
+                returns_type_str, forward_function_name,
+                inputs_args_definition_str, dygraph_event_str, amp_logic_str,
+                forward_function_name, forward_call_str, get_outputs_str,
+                returns_str)
+        else:
             self.forward_definition_str += FORWARD_FUNCTION_TEMPLATE.format(
                 returns_type_str, forward_function_name,
                 inputs_args_definition_str, dygraph_event_str, amp_logic_str,
@@ -1239,20 +1227,6 @@ class DygraphForwardFunctionGenerator(DygraphFunctionGeneratorBase):
                 outputs_autograd_meta_str, compute_require_grad_args_str,
                 check_inplace_str, bump_inplace_version_str, node_creation_str,
                 returns_str)
-        else:
-            if (len(amp_tensors_vector_list) > 0) and (self.forward_api_name
-                                                       not in no_amp_list):
-                self.forward_definition_str += FORWARD_ONLY_FUNCTION_TEMPLATE.format(
-                    returns_type_str, forward_function_name,
-                    inputs_args_definition_str, dygraph_event_str,
-                    amp_logic_str, forward_function_name, forward_call_str,
-                    get_outputs_str, returns_str)
-            else:
-                self.forward_definition_str += FORWARD_ONLY_FUNCTION_TEMPLATE.format(
-                    returns_type_str, forward_function_name,
-                    inputs_args_definition_str, dygraph_event_str, " ",
-                    forward_function_name, forward_call_str, get_outputs_str,
-                    returns_str)
 
         self.forward_declaration_str += f"{returns_type_str} {forward_function_name}({inputs_args_declaration_str});\n"