Fix `broadcast_object_list` & `scatter_object_list` not work in specified group (#51762)

* fix: fix broadcast object list

* fix: fix scatter object list

python/paddle/distributed/communication/broadcast.py

@@ -118,7 +118,7 @@ def broadcast_object_list(object_list, src, group=None):
         obj_size_tensor = paddle.concat(obj_sizes)
     else:
         obj_size_tensor = paddle.empty([obj_nums], dtype="int64")
-    broadcast(obj_size_tensor, src)
+    broadcast(obj_size_tensor, src, group)
 
     if rank == src:
         # cast to uint8 to keep the same dtype
@@ -126,7 +126,7 @@ def broadcast_object_list(object_list, src, group=None):
     else:
         data_len = paddle.sum(obj_size_tensor).item()
         obj_data_tensor = paddle.empty([data_len], dtype="uint8")
-    broadcast(obj_data_tensor, src)
+    broadcast(obj_data_tensor, src, group)
 
     offset = 0
     for i in range(obj_nums):

python/paddle/distributed/communication/scatter.py

@@ -135,11 +135,11 @@ def scatter_object_list(
         in_tensor = paddle.to_tensor(numpy_data)
         in_tensor_list.append(in_tensor)
     out_tensor = paddle.empty([max_obj_size], dtype="uint8")
-    scatter(out_tensor, in_tensor_list if rank == src else None, src)
+    scatter(out_tensor, in_tensor_list if rank == src else None, src, group)
 
     # NOTE: shape can be [] after 0D tensor support
     out_tensor_size = paddle.empty([1], dtype="int64")
-    scatter(out_tensor_size, in_obj_sizes if rank == src else None, src)
+    scatter(out_tensor_size, in_obj_sizes if rank == src else None, src, group)
 
     out_object_list.clear()
     out_object_list.append(