diff --git a/model_zoo/official/cv/resnet/scripts/run_distribute_train.sh b/model_zoo/official/cv/resnet/scripts/run_distribute_train.sh
index efcb620cd868c3d89c9fa9abd454115aa73ec91d..4c27b5f6cfb8a791bdba12b74207358bdf23873a 100755
--- a/model_zoo/official/cv/resnet/scripts/run_distribute_train.sh
+++ b/model_zoo/official/cv/resnet/scripts/run_distribute_train.sh
@@ -79,10 +79,13 @@ export RANK_SIZE=8
 export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
 export RANK_TABLE_FILE=$PATH1
 
+export SERVER_ID=0
+rank_start=$((DEVICE_NUM * SERVER_ID))
+
 for((i=0; i<${DEVICE_NUM}; i++))
 do
     export DEVICE_ID=$i
-    export RANK_ID=$i
+    export RANK_ID=$((rank_start + i))
     rm -rf ./train_parallel$i
     mkdir ./train_parallel$i
     cp ../*.py ./train_parallel$i
diff --git a/model_zoo/official/cv/resnet/src/dataset.py b/model_zoo/official/cv/resnet/src/dataset.py
index 1cbe5e20f3bcaebad8f6ba68999400d9264ddfc7..79730fc460d81a79b7f57bb7a65da21d715793ea 100755
--- a/model_zoo/official/cv/resnet/src/dataset.py
+++ b/model_zoo/official/cv/resnet/src/dataset.py
@@ -37,8 +37,7 @@ def create_dataset1(dataset_path, do_train, repeat_num=1, batch_size=32, target=
         dataset
     """
     if target == "Ascend":
-        device_num = int(os.getenv("DEVICE_NUM"))
-        rank_id = int(os.getenv("RANK_ID"))
+        device_num, rank_id = _get_rank_info()
     else:
         init("nccl")
         rank_id = get_rank()
@@ -93,8 +92,7 @@ def create_dataset2(dataset_path, do_train, repeat_num=1, batch_size=32, target=
         dataset
     """
     if target == "Ascend":
-        device_num = int(os.getenv("DEVICE_NUM"))
-        rank_id = int(os.getenv("RANK_ID"))
+        device_num, rank_id = _get_rank_info()
     else:
         init("nccl")
         rank_id = get_rank()
@@ -153,8 +151,7 @@ def create_dataset3(dataset_path, do_train, repeat_num=1, batch_size=32):
     Returns:
         dataset
     """
-    device_num = int(os.getenv("RANK_SIZE"))
-    rank_id = int(os.getenv("RANK_ID"))
+    device_num, rank_id = _get_rank_info()
 
     if device_num == 1:
         ds = de.ImageFolderDatasetV2(dataset_path, num_parallel_workers=8, shuffle=True)
@@ -203,3 +200,19 @@ def create_dataset3(dataset_path, do_train, repeat_num=1, batch_size=32):
     ds = ds.repeat(repeat_num)
 
     return ds
+
+
+def _get_rank_info():
+    """
+    get rank size and rank id
+    """
+    rank_size = int(os.environ.get("RANK_SIZE", 1))
+
+    if rank_size > 1:
+        rank_size = get_group_size()
+        rank_id = get_rank()
+    else:
+        rank_size = 1
+        rank_id = 0
+
+    return rank_size, rank_id