diff --git a/tests/st/broadcast/test_broadcast_auto_parallel.py b/tests/st/broadcast/test_broadcast_auto_parallel.py
index 576cde6d4c..1b5ca8caef 100644
--- a/tests/st/broadcast/test_broadcast_auto_parallel.py
+++ b/tests/st/broadcast/test_broadcast_auto_parallel.py
@@ -24,4 +24,5 @@ import pytest
 def test_broadcast_auto_parallel():
     sh_path = os.path.split(os.path.realpath(__file__))[0]
     ret = os.system(f"sh {sh_path}/run_broadcast_auto_parallel.sh")
+    os.system(f"grep -E 'ERROR|error' {sh_path}/lenet_broadcast*/test_lenet_auto_parallel_broadcast_8p_log*log -C 3")
     assert ret == 0
diff --git a/tests/st/mix_precision/test_mix_precision.py b/tests/st/mix_precision/test_mix_precision.py
index 5ba8f83725..5796efb1b2 100644
--- a/tests/st/mix_precision/test_mix_precision.py
+++ b/tests/st/mix_precision/test_mix_precision.py
@@ -36,7 +36,6 @@ def read_validateir_file(path_folder):
     filename = find_newest_validateir_file(path_folder)
     with open(os.path.join(filename), 'r') as f:
         contend = f.read()
-    clean_all_ir_files(path_folder)
     return contend
 
 
@@ -130,10 +129,12 @@ def test_sit_auto_mix_precision_model_o0():
     contend = read_validateir_file('./test_amp_o0')
     castnum = re.findall("Cast", contend)
     assert len(castnum) == 5
+    clean_all_ir_files('./test_amp_o0')
     model.predict(Tensor(input_data))
     contend = read_validateir_file('./test_amp_o0')
     castnum = re.findall("Cast", contend)
     assert len(castnum) == 11
+    clean_all_ir_files('./test_amp_o0')
 
 
 @pytest.mark.level0
@@ -164,6 +165,7 @@ def test_sit_auto_mix_precision_model_o2():
     contend = read_validateir_file('./test_amp_o2')
     castnum = re.findall("Cast", contend)
     assert len(castnum) == 14
+    clean_all_ir_files('./test_amp_o2')
     out_graph = model.predict(Tensor(input_data))
 
     # pynative mode