diff --git a/debug/accuracy_tools/api_accuracy_checker/common/utils.py b/debug/accuracy_tools/api_accuracy_checker/common/utils.py
index f1c874407fcb8169524c72940b4785859b2455c6..8fc952ebffc9f9e795cc9988fbc5d44c279ca74f 100644
--- a/debug/accuracy_tools/api_accuracy_checker/common/utils.py
+++ b/debug/accuracy_tools/api_accuracy_checker/common/utils.py
@@ -558,3 +558,32 @@ def check_need_convert(api_name):
             convert_type = key
     return convert_type
 
+def api_info_preprocess(api_name, api_info_dict):
+    """
+    Function Description:
+        Preprocesses the API information.
+    Parameter:
+        api_name: Name of the API.
+        api_info_dict: argument of the API.
+    Return api_info_dict:
+        convert_type: Type of conversion.
+        api_info_dict: Processed argument of the API.
+    """
+    convert_type = check_need_convert(api_name)
+    if api_name == 'cross_entropy':
+        api_info_dict = cross_entropy_process(api_info_dict)
+    return convert_type, api_info_dict
+
+def cross_entropy_process(api_info_dict):
+    """
+    Function Description:
+        Preprocesses the cross_entropy API information.
+    Parameter:
+        api_info_dict: argument of the API.
+    Return api_info_dict:
+        api_info_dict: Processed argument of the API.
+    """
+    if 'args' in api_info_dict and len(api_info_dict['args']) > 1 and 'Min' in api_info_dict['args'][1]:
+        if api_info_dict['args'][1]['Min'] <= 0:
+            api_info_dict['args'][1]['Min'] = 0 #The second argument in cross_entropy should be -100 or not less than 0.
+    return api_info_dict
\ No newline at end of file
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 e6162ca8b2611a3a166f8ae4304fdfcb82551bdc..26e6e352a65629fc06f85de329420ae6f25cd74b 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
@@ -5,7 +5,7 @@ import torch_npu
 import yaml
 import torch
 from api_accuracy_checker.run_ut.data_generate import gen_api_params, gen_args
-from api_accuracy_checker.common.utils import print_info_log, print_warn_log, get_json_contents, check_need_convert, \
+from api_accuracy_checker.common.utils import print_info_log, print_warn_log, get_json_contents, api_info_preprocess, \
     print_error_log
 from api_accuracy_checker.compare.compare import Comparator
 from api_accuracy_checker.hook_module.wrap_tensor import TensorOPTemplate
@@ -77,15 +77,15 @@ def run_ut(forward_file, backward_file, out_path, save_error_data):
     compare.write_compare_csv()
 
 
-def run_torch_api(api_full_name, api_setting_dict, backward_content, value):
+def run_torch_api(api_full_name, api_setting_dict, backward_content, api_info_dict):
     [api_type, api_name, _] = api_full_name.split("*")
-    convert_type = check_need_convert(api_name)
+    convert_type, api_info_dict = api_info_preprocess(api_name, api_info_dict)
     need_grad = True
-    if value.get("kwargs") and "out" in value.get("kwargs"):
+    if api_info_dict.get("kwargs") and "out" in api_info_dict.get("kwargs"):
         need_grad = False
     if api_name[-1] == "_" or api_name in NO_GRAD_APIS:
         need_grad = False
-    args, kwargs = gen_api_params(value, need_grad, convert_type)
+    args, kwargs = gen_api_params(api_info_dict, need_grad, convert_type)
     inplace = kwargs.get("inplace") if kwargs.get("inplace") else None
     need_backward = api_full_name in backward_content and api_name[-1] != "_" and inplace is not True
     need_backward = need_backward and need_grad