diff --git a/pytorch_lightning/trainer/__init__.py b/pytorch_lightning/trainer/__init__.py
index e250350d..c18f22b8 100644
--- a/pytorch_lightning/trainer/__init__.py
+++ b/pytorch_lightning/trainer/__init__.py
@@ -11,7 +11,6 @@ The trainer automates all parts of training except:
 - which optimizers to use
 - how to do the computations
 
-
 The Trainer delegates those calls to your LightningModule which defines how to do those parts.
 
 This is the basic use of the trainer:
diff --git a/pytorch_lightning/trainer/trainer.py b/pytorch_lightning/trainer/trainer.py
index ca380b12..68451f00 100644
--- a/pytorch_lightning/trainer/trainer.py
+++ b/pytorch_lightning/trainer/trainer.py
@@ -313,6 +313,7 @@ class Trainer(TrainerIOMixin,
                 Example::
                     # default used by the Trainer
                     trainer = Trainer(row_log_interval=10)
+
             add_row_log_interval (int):
                 .. deprecated:: 0.5.0
                     Use `row_log_interval` instead. Will remove 0.8.0.
@@ -395,7 +396,6 @@ class Trainer(TrainerIOMixin,
                 .. deprecated:: 0.5.0
                     Use `num_sanity_val_steps` instead. Will remove 0.8.0.
 
-
             truncated_bptt_steps (int): Truncated back prop breaks performs backprop every k steps of
                 a much longer sequence If this is enabled, your batches will automatically get truncated
                 and the trainer will apply Truncated Backprop to it. Make sure your batches have a sequence