diff --git a/examples/cifar10/utils_cifar.py b/examples/cifar10/utils_cifar.py
index 5152367..1eec02e 100644
--- a/examples/cifar10/utils_cifar.py
+++ b/examples/cifar10/utils_cifar.py
@@ -11,7 +11,19 @@
 
 
 def generate_samples(model, parallel, savedir, step, net_="normal"):
-    """Generate 64 images (8 x 8) for sanity check along training."""
+    """Save 64 generated images (8 x 8) for sanity check along training.
+
+    Parameters
+    ----------
+    model:
+        represents the neural network that we want to generate samples from
+    parallel: bool
+        represents the parallel training flag. Torchdyn only runs on 1 GPU, we need to send the models from several GPUs to 1 GPU.
+    savedir: str
+        represents the path where we want to save the generated images
+    step: int
+        represents the current step of training
+    """
     model.eval()
 
     model_ = copy.deepcopy(model)