diff --git a/baselines/deepq/models.py b/baselines/deepq/models.py
index e2ac79c..803d104 100644
--- a/baselines/deepq/models.py
+++ b/baselines/deepq/models.py
@@ -2,9 +2,9 @@ import tensorflow as tf
 import tensorflow.contrib.layers as layers
 
 
-def _mlp(hiddens, inpt, num_actions, scope, reuse=False, layer_norm=False):
+def _mlp(hiddens, input_, num_actions, scope, reuse=False, layer_norm=False):
     with tf.variable_scope(scope, reuse=reuse):
-        out = inpt
+        out = input_
         for hidden in hiddens:
             out = layers.fully_connected(out, num_outputs=hidden, activation_fn=None)
             if layer_norm:
@@ -30,9 +30,9 @@ def mlp(hiddens=[], layer_norm=False):
     return lambda *args, **kwargs: _mlp(hiddens, layer_norm=layer_norm, *args, **kwargs)
 
 
-def _cnn_to_mlp(convs, hiddens, dueling, inpt, num_actions, scope, reuse=False, layer_norm=False):
+def _cnn_to_mlp(convs, hiddens, dueling, input_, num_actions, scope, reuse=False, layer_norm=False):
     with tf.variable_scope(scope, reuse=reuse):
-        out = inpt
+        out = input_
         with tf.variable_scope("convnet"):
             for num_outputs, kernel_size, stride in convs:
                 out = layers.convolution2d(out,