diff --git a/model_zoo/official/cv/mobilenetv1/README.md b/model_zoo/official/cv/mobilenetv1/README.md
index c800518f7ef..75c6faa9102 100644
--- a/model_zoo/official/cv/mobilenetv1/README.md
+++ b/model_zoo/official/cv/mobilenetv1/README.md
@@ -143,8 +143,8 @@ You can start training using python or shell scripts.If the train method is trai
 ```shell
 # eval example
   python:
-      Ascend: python eval.py --dataset [cifar10|imagenet2012] --dataset_path [VAL_DATASET_PATH] --pretrain_ckpt [CHECKPOINT_PATH]
-      CPU: python eval.py --dataset [cifar10|imagenet2012] --dataset_path [VAL_DATASET_PATH] --pretrain_ckpt [CHECKPOINT_PATH] --device_target CPU
+      Ascend: python eval.py --dataset [cifar10|imagenet2012] --dataset_path [VAL_DATASET_PATH] --checkpoint_path [CHECKPOINT_PATH]
+      CPU: python eval.py --dataset [cifar10|imagenet2012] --dataset_path [VAL_DATASET_PATH] --checkpoint_path [CHECKPOINT_PATH] --device_target CPU
 
   shell:
       Ascend: sh run_eval.sh [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
diff --git a/model_zoo/official/cv/ssd/src/ssd.py b/model_zoo/official/cv/ssd/src/ssd.py
index f030f75dcb3..d876a5b910f 100644
--- a/model_zoo/official/cv/ssd/src/ssd.py
+++ b/model_zoo/official/cv/ssd/src/ssd.py
@@ -134,7 +134,6 @@ class InvertedResidual(nn.Cell):
             _bn(oup),
         ])
         self.conv = nn.SequentialCell(layers)
-        self.add = P.Add()
         self.cast = P.Cast()
         self.last_relu = last_relu
         self.relu = nn.ReLU6()
@@ -143,7 +142,7 @@ class InvertedResidual(nn.Cell):
         identity = x
         x = self.conv(x)
         if self.use_res_connect:
-            x = self.add(identity, x)
+            x = identity + x
         if self.last_relu:
             x = self.relu(x)
         return x