diff --git a/mindspore/ccsrc/pre_activate/ascend/ir_fission/addn_fission.cc b/mindspore/ccsrc/pre_activate/ascend/ir_fission/addn_fission.cc
index f6eb6aca64ece922137077d2646327a4da011e77..b9a86f7bcb84440332c1048c7ab0e101a9ce932b 100644
--- a/mindspore/ccsrc/pre_activate/ascend/ir_fission/addn_fission.cc
+++ b/mindspore/ccsrc/pre_activate/ascend/ir_fission/addn_fission.cc
@@ -34,6 +34,8 @@ AnfNodePtr CreateNewAddn(const FuncGraphPtr &func_graph, const CNodePtr &origin_
   new_addn->set_scope(origin_addn_cnode->scope());
   new_addn->set_abstract(origin_addn_cnode->abstract());
   AnfAlgo::SetNodeAttr(kAttrN, MakeValue(SizeToInt(offset)), new_addn);
+  std::vector<int> dyn_input_sizes{SizeToInt(offset)};
+  AnfAlgo::SetNodeAttr(kAttrDynInputSizes, MakeValue(dyn_input_sizes), new_addn);
   return new_addn;
 }
 }  // namespace
@@ -55,22 +57,24 @@ const AnfNodePtr AddnFission::Process(const FuncGraphPtr &func_graph, const AnfN
   }
   CNodePtr new_cnode = cnode;
   while (origin_input_size > inputs_divisor_) {
+    MS_EXCEPTION_IF_NULL(new_cnode);
     std::vector<AnfNodePtr> base_addn_inputs{NewValueNode(std::make_shared<Primitive>(prim::kPrimAddN->name()))};
     size_t cur_input_index = 1;
-    // Divide the inputs of addn by 63.
-    while (origin_input_size - cur_input_index + 1 > inputs_divisor_) {
+    // Divide the inputs of addn by inputs_divisor_.
+    while (origin_input_size - cur_input_index + 1 >= inputs_divisor_) {
       base_addn_inputs.push_back(CreateNewAddn(func_graph, new_cnode, cur_input_index, inputs_divisor_));
       cur_input_index += inputs_divisor_;
     }
-    base_addn_inputs.push_back(
-      CreateNewAddn(func_graph, new_cnode, cur_input_index, origin_input_size - cur_input_index + 1));
-
+    for (size_t i = cur_input_index; i <= origin_input_size; i++) {
+      base_addn_inputs.push_back(new_cnode->input(i));
+    }
     CNodePtr base_addn = func_graph->NewCNode(base_addn_inputs);
     MS_EXCEPTION_IF_NULL(base_addn);
-    MS_EXCEPTION_IF_NULL(new_cnode);
     base_addn->set_scope(new_cnode->scope());
     base_addn->set_abstract(new_cnode->abstract());
     AnfAlgo::SetNodeAttr(kAttrN, MakeValue(SizeToInt(base_addn_inputs.size() - 1)), base_addn);
+    std::vector<int> dyn_input_sizes{SizeToInt(base_addn_inputs.size() - 1)};
+    AnfAlgo::SetNodeAttr(kAttrDynInputSizes, MakeValue(dyn_input_sizes), base_addn);
     new_cnode = base_addn;
     origin_input_size = base_addn->inputs().size() - 1;
   }
diff --git a/mindspore/ccsrc/utils/utils.h b/mindspore/ccsrc/utils/utils.h
index 10ef4abf62f334be15df9350db98be09a9ad2d7e..eac901b74de8fcfabbc9f8c866df3496d35e19e2 100644
--- a/mindspore/ccsrc/utils/utils.h
+++ b/mindspore/ccsrc/utils/utils.h
@@ -149,7 +149,7 @@ constexpr auto kAttrDynInputSizes = "dyn_input_sizes";
 constexpr auto kAttrSrcFormat = "src_format";
 constexpr auto kAttrOutputUsedNum = "output_used_num";
 constexpr auto kAttrHasBias = "has_bias";
-constexpr auto kAttrN = "N";
+constexpr auto kAttrN = "n";
 constexpr auto kAttrLabelForInsertStreamActive = "label_for_insert_stream_active";
 
 // attr value
diff --git a/tests/ut/cpp/python_input/gtest_input/pre_activate/addn_fission_test.py b/tests/ut/cpp/python_input/gtest_input/pre_activate/addn_fission_test.py
index c120ac3e68e7eed4aa185224315a1b72af3a6ef9..76d7e73a800b81dd0e784c65bdca1ccea3cc8cf5 100644
--- a/tests/ut/cpp/python_input/gtest_input/pre_activate/addn_fission_test.py
+++ b/tests/ut/cpp/python_input/gtest_input/pre_activate/addn_fission_test.py
@@ -45,13 +45,10 @@ def test_addn_fission(tag):
         b = addn((input2, input3))
         c = addn((input4, input5))
         d = addn((input6, input7))
-        e = addn((input8,))
         f = addn((a, b))
         g = addn((c, d))
-        h = addn((e,))
         i = addn((f, g))
-        j = addn((h,))
-        return addn((i, j))
+        return addn((i, input8))
 
     @fns
     def after_divided_by_3(input0, input1, input2, input3, input4, input5, input6, input7, input8):
@@ -64,14 +61,12 @@ def test_addn_fission(tag):
     def after_divided_by_4(input0, input1, input2, input3, input4, input5, input6, input7, input8):
         a = addn((input0, input1, input2, input3))
         b = addn((input4, input5, input6, input7))
-        c = addn((input8,))
-        return addn((a, b, c))
+        return addn((a, b, input8))
 
     @fns
     def after_divided_by_8(input0, input1, input2, input3, input4, input5, input6, input7, input8):
         a = addn((input0, input1, input2, input3, input4, input5, input6, input7))
-        b = addn((input8,))
-        return addn((a, b))
+        return addn((a, input8))
 
     @fns
     def after_divided_by_9(input0, input1, input2, input3, input4, input5, input6, input7, input8):