diff --git a/examples/images/cifar10/train_cifar10_ddp.py b/examples/images/cifar10/train_cifar10_ddp.py
index ed731ab..8b13849 100644
--- a/examples/images/cifar10/train_cifar10_ddp.py
+++ b/examples/images/cifar10/train_cifar10_ddp.py
@@ -15,7 +15,7 @@
 from torch.utils.data import DistributedSampler
 from torchdyn.core import NeuralODE
 from torchvision import datasets, transforms
-from utils_cifar import ema, generate_samples, infiniteloop, setup
+from utils_cifar import ema, generate_samples, setup
 
 from torchcfm.conditional_flow_matching import (
     ConditionalFlowMatcher,
@@ -102,8 +102,6 @@ def train(rank, total_num_gpus, argv):
         drop_last=True,
     )
 
-    datalooper = infiniteloop(dataloader)
-
     # Calculate number of epochs
     steps_per_epoch = math.ceil(len(dataset) / FLAGS.batch_size)
     num_epochs = math.ceil(FLAGS.total_steps / steps_per_epoch)