diff --git a/model_zoo/research/cv/FaceRecognition/eval.py b/model_zoo/research/cv/FaceRecognition/eval.py
index 1214ea6ad1..e02561b133 100644
--- a/model_zoo/research/cv/FaceRecognition/eval.py
+++ b/model_zoo/research/cv/FaceRecognition/eval.py
@@ -109,7 +109,7 @@ def generate_test_pair(jk_list, zj_list):
             zj2jk_pairs.append([zj_file, jk_file_list])
     return zj2jk_pairs
 
-def check_minmax(data, min_value=0.99, max_value=1.01):
+def check_minmax(args, data, min_value=0.99, max_value=1.01):
     min_data = data.min()
     max_data = data.max()
     if np.isnan(min_data) or np.isnan(max_data):
@@ -162,7 +162,7 @@ def topk(matrix, k, axis=1):
         topk_index_sort = topk_index[:, 0:k][column_index, topk_index_sort]
     return topk_data_sort, topk_index_sort
 
-def cal_topk(idx, zj2jk_pairs, test_embedding_tot, dis_embedding_tot):
+def cal_topk(args, idx, zj2jk_pairs, test_embedding_tot, dis_embedding_tot):
     '''cal_topk'''
     args.logger.info('start idx:{} subprocess...'.format(idx))
     correct = np.array([0] * 2)
@@ -230,7 +230,7 @@ def main(args):
         for batch in range(embeddings.shape[0]):
             test_embedding_tot_np[idxs[batch]] = embeddings[batch]
     try:
-        check_minmax(np.linalg.norm(test_embedding_tot_np, ord=2, axis=1))
+        check_minmax(args, np.linalg.norm(test_embedding_tot_np, ord=2, axis=1))
     except ValueError:
         return 0
 
@@ -266,7 +266,7 @@ def main(args):
                              format(idx, total_batch, speed, time_left))
             start_time = time.time()
     try:
-        check_minmax(np.linalg.norm(dis_embedding_tot_np, ord=2, axis=1))
+        check_minmax(args, np.linalg.norm(dis_embedding_tot_np, ord=2, axis=1))
     except ValueError:
         return 0
 
@@ -295,7 +295,7 @@ def main(args):
         sampler = DistributedSampler(zj2jk_pairs)
         args.logger.info('INFO, calculate top1 acc sampler len:{}'.format(len(sampler)))
         for idx in sampler:
-            out1, out2 = cal_topk(idx, zj2jk_pairs, test_embedding_tot, dis_embedding_tot_np)
+            out1, out2 = cal_topk(args, idx, zj2jk_pairs, test_embedding_tot, dis_embedding_tot_np)
             correct[2 * i] += out1[0]
             correct[2 * i + 1] += out1[1]
             tot[i] += out2[0]