diff --git a/example/ssd_coco2017/dataset.py b/example/ssd_coco2017/dataset.py
index c725c14e00..b88b22c862 100644
--- a/example/ssd_coco2017/dataset.py
+++ b/example/ssd_coco2017/dataset.py
@@ -137,7 +137,7 @@ def ssd_bboxes_encode(boxes):
     num_match_num = np.array([len(np.nonzero(t_label)[0])], dtype=np.int32)
     return bboxes, t_label.astype(np.int32), num_match_num
 
-def ssd_bboxes_decode(boxes, index, image_shape):
+def ssd_bboxes_decode(boxes, index):
     """Decode predict boxes to [x, y, w, h]"""
     boxes_t = boxes[index]
     default_boxes_t = default_boxes[index]
diff --git a/example/yolov3_coco2017/train.py b/example/yolov3_coco2017/train.py
index a5473feada..5c0d8921ad 100644
--- a/example/yolov3_coco2017/train.py
+++ b/example/yolov3_coco2017/train.py
@@ -51,9 +51,9 @@ def get_lr(learning_rate, start_step, global_step, decay_step, decay_rate, steps
     return lr_each_step
 
 
-def init_net_param(net, init_value='ones'):
-    """Init:wq the parameters in net."""
-    params = net.trainable_params()
+def init_net_param(network, init_value='ones'):
+    """Init:wq the parameters in network."""
+    params = network.trainable_params()
     for p in params:
         if isinstance(p.data, Tensor) and 'beta' not in p.name and 'gamma' not in p.name and 'bias' not in p.name:
             p.set_parameter_data(initializer(init_value, p.data.shape(), p.data.dtype()))
diff --git a/mindspore/_akg/add_path.py b/mindspore/_akg/add_path.py
index a9fd0d4a09..2de2f73e1c 100644
--- a/mindspore/_akg/add_path.py
+++ b/mindspore/_akg/add_path.py
@@ -31,7 +31,7 @@ def AKGAddPath():
 class AKGMetaPathFinder:
     """class AKGMetaPath finder."""
 
-    def find_module(self, fullname, path=None):
+    def find_module(self, fullname):
         """method _akg find module."""
         if fullname.startswith("_akg.tvm"):
             rname = fullname[5:]