diff --git a/tf_adapter_2.x/python/npu_device/_api/distribute/hccl.py b/tf_adapter_2.x/python/npu_device/_api/distribute/hccl.py
index 26e7aa76198bc3ffc4b291b999ab27426870712a..33970a819d986e04bd7ad46382debeeea9ec5366 100644
--- a/tf_adapter_2.x/python/npu_device/_api/distribute/hccl.py
+++ b/tf_adapter_2.x/python/npu_device/_api/distribute/hccl.py
@@ -1,4 +1,3 @@
-from collections import Iterable
 from npu_device._api.distribute import hccl_ops
 from npu_device.npu_device import global_npu_ctx
 
@@ -26,7 +25,7 @@ def _all_reduce(values, reduction, fusion, fusion_id, group):
         reduction = 'sum'
 
     topo_guarder = tf.group(values)
-    if isinstance(values, Iterable):
+    if isinstance(values, (list, tuple,)):
         reduced_values = []
         for value in values:
             reduced_value = hccl_ops.allreduce(value, reduction, fusion, fusion_id, group)
@@ -56,7 +55,7 @@ def all_reduce(values, reduction, fusion=1, fusion_id=-1, group="hccl_world_grou
 
 
 def _broadcast(values, root_rank, fusion, fusion_id, group):
-    if isinstance(values, Iterable):
+    if isinstance(values, (list, tuple,)):
         for value in values:
             value.assign(hccl_ops.broadcast([value], root_rank, fusion, fusion_id, group)[0])
     else: