diff --git a/research/cv/ras/export.py b/research/cv/ras/export.py
index 9c2ba36c9ae5442f3787cd60da6bd0bf7044770f..8ead39b3f192326dd1ca042143036411c31f528c 100644
--- a/research/cv/ras/export.py
+++ b/research/cv/ras/export.py
@@ -19,7 +19,7 @@ import argparse
 import numpy as np
 import mindspore as ms
 from mindspore import load_checkpoint, load_param_into_net, export
-from .src.model import BoneModel
+from src.model import BoneModel
 
 
 def run_export(device_target, device_id, pretrained_model, model_ckpt, batchsize):
diff --git a/research/cv/vit_base/scripts/run_distribute_train_ascend.sh b/research/cv/vit_base/scripts/run_distribute_train_ascend.sh
index d9be2187f704e70eed16c4a7cd7ab34ac5c217f3..28569a25e86caf295543b1f926ec28f328283c62 100644
--- a/research/cv/vit_base/scripts/run_distribute_train_ascend.sh
+++ b/research/cv/vit_base/scripts/run_distribute_train_ascend.sh
@@ -26,10 +26,9 @@ RANK_TABLE_FILE=$(realpath $1)
 export RANK_TABLE_FILE
 echo "RANK_TABLE_FILE=${RANK_TABLE_FILE}"
 
-device_start=$3
 for((i=0; i<${DEVICE_NUM}; i++))
 do
-    export DEVICE_ID=$((device_start + i))
+    export DEVICE_ID=$i
     export RANK_ID=$i
     rm -rf ./train_parallel$i
     mkdir ./train_parallel$i