diff --git a/pytorch_lightning/trainer/distrib_parts.py b/pytorch_lightning/trainer/distrib_parts.py
index c25070a6999d3..eb28119c76ccd 100644
--- a/pytorch_lightning/trainer/distrib_parts.py
+++ b/pytorch_lightning/trainer/distrib_parts.py
@@ -441,7 +441,7 @@ def transfer_batch_to_tpu(self, batch: Any, tpu_id: Optional[int] = None):
             batch: A tensor or collection of tensors.
             tpu_id: The id of the TPU core. If omitted, the first available core is chosen.
 
-        Returns:
+        Return:
             the tensor on the TPU device.
 
         See Also:
@@ -463,7 +463,7 @@ def transfer_batch_to_gpu(self, batch: Any, gpu_id: Optional[int] = None):
             batch: A tensor or collection of tensors.
             gpu_id: The id of the GPU device. If omitted, the first available GPU is chosen.
 
-        Returns:
+        Return:
             the tensor on the GPU device.
 
         See Also:
diff --git a/pytorch_lightning/utilities/apply_func.py b/pytorch_lightning/utilities/apply_func.py
index 6034967a99d2a..2c1191ad7e05d 100644
--- a/pytorch_lightning/utilities/apply_func.py
+++ b/pytorch_lightning/utilities/apply_func.py
@@ -47,7 +47,7 @@ def transfer_batch_to_device(batch: Any, device: torch.device):
             for a list of supported collection types.
         device: The device to which tensors should be moved
 
-    Returns:
+    Return:
         the same collection but with all contained tensors residing on the new device.
 
     See Also: