[Eager] Support eager all_reducer return value (#6140)

* support eager all_reducer return value

* revert file

* fix error logic

* support simota head in eager

ppdet/modeling/heads/gfl_head.py

@@ -388,7 +388,12 @@ class GFLHead(nn.Layer):
 
         avg_factor = sum(avg_factor)
         try:
-            avg_factor = paddle.distributed.all_reduce(avg_factor.clone())
+            avg_factor_clone = avg_factor.clone()
+            tmp_avg_factor = paddle.distributed.all_reduce(avg_factor_clone)
+            if tmp_avg_factor is not None:
+                avg_factor = tmp_avg_factor
+            else:
+                avg_factor = avg_factor_clone
             avg_factor = paddle.clip(
                 avg_factor / paddle.distributed.get_world_size(), min=1)
         except:

ppdet/modeling/heads/simota_head.py

@@ -179,8 +179,15 @@ class OTAHead(GFLHead):
                                                    num_level_anchors)
         num_total_pos = sum(pos_num_l)
         try:
-            num_total_pos = paddle.distributed.all_reduce(num_total_pos.clone(
-            )) / paddle.distributed.get_world_size()
+            cloned_num_total_pos = num_total_pos.clone()
+            reduced_cloned_num_total_pos = paddle.distributed.all_reduce(
+                cloned_num_total_pos)
+            if reduced_cloned_num_total_pos is not None:
+                num_total_pos = reduced_cloned_num_total_pos / paddle.distributed.get_world_size(
+                )
+            else:
+                num_total_pos = cloned_num_total_pos / paddle.distributed.get_world_size(
+                )
         except:
             num_total_pos = max(num_total_pos, 1)
 
@@ -255,7 +262,12 @@ class OTAHead(GFLHead):
 
         avg_factor = sum(avg_factor)
         try:
-            avg_factor = paddle.distributed.all_reduce(avg_factor.clone())
+            avg_factor_clone = avg_factor.clone()
+            tmp_avg_factor = paddle.distributed.all_reduce(avg_factor_clone)
+            if tmp_avg_factor is not None:
+                avg_factor = tmp_avg_factor
+            else:
+                avg_factor = avg_factor_clone
             avg_factor = paddle.clip(
                 avg_factor / paddle.distributed.get_world_size(), min=1)
         except:
@@ -396,8 +408,15 @@ class OTAVFLHead(OTAHead):
                                                    num_level_anchors)
         num_total_pos = sum(pos_num_l)
         try:
-            num_total_pos = paddle.distributed.all_reduce(num_total_pos.clone(
-            )) / paddle.distributed.get_world_size()
+            cloned_num_total_pos = num_total_pos.clone()
+            reduced_cloned_num_total_pos = paddle.distributed.all_reduce(
+                cloned_num_total_pos)
+            if reduced_cloned_num_total_pos is not None:
+                num_total_pos = reduced_cloned_num_total_pos / paddle.distributed.get_world_size(
+                )
+            else:
+                num_total_pos = cloned_num_total_pos / paddle.distributed.get_world_size(
+                )
         except:
             num_total_pos = max(num_total_pos, 1)
 
@@ -475,7 +494,12 @@ class OTAVFLHead(OTAHead):
 
         avg_factor = sum(avg_factor)
         try:
-            avg_factor = paddle.distributed.all_reduce(avg_factor.clone())
+            avg_factor_clone = avg_factor.clone()
+            tmp_avg_factor = paddle.distributed.all_reduce(avg_factor_clone)
+            if tmp_avg_factor is not None:
+                avg_factor = tmp_avg_factor
+            else:
+                avg_factor = avg_factor_clone
             avg_factor = paddle.clip(
                 avg_factor / paddle.distributed.get_world_size(), min=1)
         except: