diff --git a/examples/fabric/tensor_parallel/train.py b/examples/fabric/tensor_parallel/train.py
index 1435e5c2003e1..4a98f12cf6168 100644
--- a/examples/fabric/tensor_parallel/train.py
+++ b/examples/fabric/tensor_parallel/train.py
@@ -1,14 +1,13 @@
 import lightning as L
 import torch
 import torch.nn.functional as F
+from data import RandomTokenDataset
 from lightning.fabric.strategies import ModelParallelStrategy
 from model import ModelArgs, Transformer
 from parallelism import parallelize
 from torch.distributed.tensor.parallel import loss_parallel
 from torch.utils.data import DataLoader
 
-from data import RandomTokenDataset
-
 
 def train():
     strategy = ModelParallelStrategy(
diff --git a/examples/pytorch/tensor_parallel/train.py b/examples/pytorch/tensor_parallel/train.py
index 37c620f4582f0..6a91e1242e4af 100644
--- a/examples/pytorch/tensor_parallel/train.py
+++ b/examples/pytorch/tensor_parallel/train.py
@@ -1,14 +1,13 @@
 import lightning as L
 import torch
 import torch.nn.functional as F
+from data import RandomTokenDataset
 from lightning.pytorch.strategies import ModelParallelStrategy
 from model import ModelArgs, Transformer
 from parallelism import parallelize
 from torch.distributed.tensor.parallel import loss_parallel
 from torch.utils.data import DataLoader
 
-from data import RandomTokenDataset
-
 
 class Llama3(L.LightningModule):
     def __init__(self):