diff --git a/app/yolov5/train_server.py b/app/yolov5/train_server.py
index 3a18779..15548ff 100644
--- a/app/yolov5/train_server.py
+++ b/app/yolov5/train_server.py
@@ -610,16 +610,16 @@ def main(opt,data_list,id,callbacks=Callbacks()):
     # DDP mode
     device = select_device(opt.device, batch_size=opt.batch_size)
     print(device.type)
-    if LOCAL_RANK != -1:
-        msg = 'is not compatible with YOLOv5 Multi-GPU DDP training'
-        assert not opt.image_weights, f'--image-weights {msg}'
-        assert not opt.evolve, f'--evolve {msg}'
-        assert opt.batch_size != -1, f'AutoBatch with --batch-size -1 {msg}, please pass a valid --batch-size'
-        assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'
-        assert torch.cuda.device_count() > LOCAL_RANK, 'insufficient CUDA devices for DDP command'
-        torch.cuda.set_device(LOCAL_RANK)
-        device = torch.device('cuda', LOCAL_RANK)
-        dist.init_process_group(backend="nccl" if dist.is_nccl_available() else "gloo")
+    # if LOCAL_RANK != -1:
+    #     msg = 'is not compatible with YOLOv5 Multi-GPU DDP training'
+    #     assert not opt.image_weights, f'--image-weights {msg}'
+    #     assert not opt.evolve, f'--evolve {msg}'
+    #     assert opt.batch_size != -1, f'AutoBatch with --batch-size -1 {msg}, please pass a valid --batch-size'
+    #     assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'
+    #     assert torch.cuda.device_count() > LOCAL_RANK, 'insufficient CUDA devices for DDP command'
+    #     torch.cuda.set_device(LOCAL_RANK)
+    #     device = torch.device('cuda', LOCAL_RANK)
+    #     dist.init_process_group(backend="nccl" if dist.is_nccl_available() else "gloo")
 
     # Train
     if not opt.evolve: