diff --git a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
index fb885168d662006b3fa639c2322113d6f1f6b386..f16d84b3cf58efd181b0f22c09da73c53d8ecaf3 100644
--- a/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
+++ b/debug/accuracy_tools/api_accuracy_checker/run_ut/run_ut.py
@@ -36,6 +36,7 @@ RESULT_FILE_NAME = "accuracy_checking_result_" + current_time + ".csv"
 DETAILS_FILE_NAME = "accuracy_checking_details_" + current_time + ".csv"
 RunUTConfig = namedtuple('RunUTConfig', ['forward_content', 'backward_content', 'result_csv_path', 'details_csv_path',
                                          'save_error_data', 'is_continue_run_ut', 'test_result_cnt'])
+not_backward_list = ['repeat_interleave']
 
 
 def exec_api(api_type, api_name, args, kwargs):
@@ -167,9 +168,14 @@ def run_torch_api(api_full_name, api_setting_dict, backward_content, api_info_di
     in_fwd_data_list.append(args)
     in_fwd_data_list.append(kwargs)
     need_backward = api_full_name in backward_content
-    need_backward = need_backward and need_grad
     if not need_grad:
-        print_warn_log("%s function with out=... arguments don't support automatic differentiation, skip backward." % api_full_name)
+        print_warn_log("%s function with out=... arguments don't support automatic differentiation, skip backward."
+                       % api_full_name)
+    if api_name in not_backward_list:
+        need_grad = False
+        print_warn_log(
+            "%s function backward result is None, skip backward." % api_full_name)
+    need_backward = need_backward and need_grad
     if kwargs.get("device"):
         del kwargs["device"]
     cpu_args, cpu_kwargs = generate_cpu_params(args, kwargs, need_backward)