diff --git a/modelscope/trainers/trainer.py b/modelscope/trainers/trainer.py
index fbfcf96c..e70ad2b4 100644
--- a/modelscope/trainers/trainer.py
+++ b/modelscope/trainers/trainer.py
@@ -37,7 +37,7 @@ from modelscope.utils.file_utils import func_receive_dict_inputs
 from modelscope.utils.logger import get_logger
 from modelscope.utils.registry import build_from_cfg
 from modelscope.utils.torch_utils import (get_dist_info, get_local_rank,
-                                          init_dist, is_master,
+                                          init_dist, is_dist, is_master,
                                           set_random_seed)
 from .base import BaseTrainer
 from .builder import TRAINERS
@@ -236,7 +236,7 @@ class EpochBasedTrainer(BaseTrainer):
             device_name: The final device name.
         """
         device_name = device if device is not None else 'gpu'
-        if dist.is_initialized():
+        if is_dist():
             local_rank = get_local_rank()
             device_name = f'cuda:{local_rank}'
 
@@ -603,7 +603,7 @@ class EpochBasedTrainer(BaseTrainer):
             for key in match_keys:
                 value = train_outputs.get(key, None)
                 if value is not None:
-                    if dist.is_available() and dist.is_initialized():
+                    if is_dist():
                         value = value.data.clone().to('cuda')
                         dist.all_reduce(value.div_(dist.get_world_size()))
                     log_vars.update({key: value.item()})
diff --git a/modelscope/utils/torch_utils.py b/modelscope/utils/torch_utils.py
index e8c21d86..ed1f94c5 100644
--- a/modelscope/utils/torch_utils.py
+++ b/modelscope/utils/torch_utils.py
@@ -106,7 +106,7 @@ def _init_dist_slurm(backend: str, port: Optional[int] = None) -> None:
 
 
 def get_dist_info() -> Tuple[int, int]:
-    if dist.is_available() and dist.is_initialized():
+    if is_dist():
         try:
             from megatron import mpu
             assert mpu.model_parallel_is_initialized()
@@ -125,8 +125,12 @@ def get_local_rank():
     return int(os.environ.get('LOCAL_RANK', 0))
 
 
+def is_dist():
+    return dist.is_available() and dist.is_initialized()
+
+
 def is_master():
-    return dist.get_rank() == 0 if dist.is_initialized() else True
+    return dist.get_rank() == 0 if is_dist() else True
 
 
 def master_only(func: Callable) -> Callable:
@@ -142,7 +146,7 @@ def master_only(func: Callable) -> Callable:
 def make_tmp_dir():
     """Make sure each rank has the same temporary directory on the distributed mode.
     """
-    if not dist.is_initialized():
+    if not is_dist():
         return tempfile.mkdtemp()
 
     tmpdir = None