diff --git a/debug/accuracy_tools/api_accuracy_checker/README.md b/debug/accuracy_tools/api_accuracy_checker/README.md
index bfd1922a63e2e8336e409e98d37a5e7e2588d034..a5bc92c093b153e96ae6e94635b26f29dba04987 100644
--- a/debug/accuracy_tools/api_accuracy_checker/README.md
+++ b/debug/accuracy_tools/api_accuracy_checker/README.md
@@ -53,6 +53,12 @@ Ascend模型精度预检工具能在昇腾NPU上扫描用户训练模型中所
 
    注意：目前API通过测试的标准是每个输出与标杆比对的余弦相似度大于0.99，并且float16数据要通过双千分之一标准，float32数据要通过双万分之一标准，pretest_details.csv中的相对误差供用户分析时使用。
 
+4. 如果需要保存比对不达标的输入和输出数据，可以在run_ut执行命令结尾添加-save_error_data，例如：
+
+   ```
+   python run_ut.py -forward ./forward_info_0.json -backward ./backward_info_0.json -save_error_data
+   ```
+   数据默认会存盘到'./ut_error_data'路径下（相对于启动run_ut的路径），有需要的话，用户可以通过msCheckerConfig.update_config来配置保存路径，参数为error_data_path
 
 ## FAQ 
 1. 多卡训练dump结果只有一组json，这正确吗？
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 813d0cb58618eae048ea4ab2057bdc1f50185500..0d84ae54c70e7740547199eafd01cb8211185570 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
@@ -1,5 +1,6 @@
 import argparse
 import os
+import copy
 import sys
 import torch_npu
 import yaml
@@ -74,9 +75,12 @@ def run_ut(forward_file, backward_file, out_path, save_error_data):
     for api_full_name, api_info_dict in tqdm(forward_content.items()):
         try:
             data_info = run_torch_api(api_full_name, api_setting_dict, backward_content, api_info_dict)
-            is_fwd_success, is_bwd_success = compare.compare_output(api_full_name, data_info.bench_out,
-                                                                    data_info.npu_out, data_info.bench_grad_out,
-                                                                    data_info.npu_grad_out)
+            is_fwd_success, is_bwd_success = \
+                compare.compare_output(api_full_name,
+                                       None if data_info.bench_out is None else data_info.bench_out.clone(),
+                                       None if data_info.npu_out is None else data_info.npu_out.clone(),
+                                       None if data_info.bench_grad_out is None else data_info.bench_grad_out.clone(),
+                                       None if data_info.npu_grad_out is None else data_info.npu_grad_out.clone())
             if save_error_data:
                 do_save_error_data(api_full_name, data_info, is_fwd_success, is_bwd_success)
         except Exception as err: