diff --git a/pytorch_lightning/pt_overrides/override_data_parallel.py b/pytorch_lightning/pt_overrides/override_data_parallel.py
index 78436a3d..1fe3d2da 100644
--- a/pytorch_lightning/pt_overrides/override_data_parallel.py
+++ b/pytorch_lightning/pt_overrides/override_data_parallel.py
@@ -45,6 +45,15 @@ class LightningDataParallel(DataParallel):
     def parallel_apply(self, replicas, inputs, kwargs):
         return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
 
+
+class LightningDistributedDataParallel(DistributedDataParallel):
+    """
+    Override the forward call in lightning so it goes to training and validation step respectively
+    """
+
+    def parallel_apply(self, replicas, inputs, kwargs):
+        return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
+
     def forward(self, *inputs, **kwargs):
         print('in forward')
         self._sync_params()
@@ -74,15 +83,6 @@ class LightningDataParallel(DataParallel):
         return output
 
 
-class LightningDistributedDataParallel(DistributedDataParallel):
-    """
-    Override the forward call in lightning so it goes to training and validation step respectively
-    """
-
-    def parallel_apply(self, replicas, inputs, kwargs):
-        return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
-
-
 def parallel_apply(modules, inputs, kwargs_tup=None, devices=None):
     r"""Applies each `module` in :attr:`modules` in parallel on arguments
     contained in :attr:`inputs` (positional) and :attr:`kwargs_tup` (keyword)