Fix PEP8

tensorflow/contrib/opt/__init__.py

@@ -47,7 +47,7 @@
     'VariableClippingOptimizer',
     'MultitaskOptimizerWrapper',
     'clip_gradients_by_global_norm',
-    'ElasticAverageOptimizer', 
+    'ElasticAverageOptimizer',
     'ElasticAverageCustomGetter'
 ]
 

tensorflow/contrib/opt/python/training/elastic_average_optimizer.py

@@ -79,9 +79,9 @@ def __call__(self, getter, name, trainable, collections, *args, **kwargs):
     if trainable:
       with ops.device(self._worker_device):
         local_var = getter(name, trainable=True,
-                           collections=[ops.GraphKeys.LOCAL_VARIABLES], 
+                           collections=[ops.GraphKeys.LOCAL_VARIABLES],
                            *args, **kwargs)
-        
+
       global_center_variable = variable_scope.variable(
         name='%s/%s' %
              (GLOBAL_VARIABLE_NAME,
@@ -96,7 +96,7 @@ def __call__(self, getter, name, trainable, collections, *args, **kwargs):
           initial_value=local_var.initialized_value(),
           trainable=False,
           collections=[ops.GraphKeys.LOCAL_VARIABLES])
-        
+
       self._local_map[local_var] = local_center_variable
       self._global_map[local_var] = global_center_variable
       return local_var
@@ -173,7 +173,7 @@ def compute_gradients(self, loss, var_list=None,
                         colocate_gradients_with_ops=False,
                         grad_loss=None):
     """Compute gradients of `loss` for the variables in `var_list`.
-    
+
     Add rho*elastic_difference to loss to control the exploration
     This is the first part of `minimize()`.  It returns a list
     of (gradient, variable) pairs where "gradient" is the gradient
@@ -204,7 +204,7 @@ def compute_gradients(self, loss, var_list=None,
     """
     if not var_list:
       var_list = variables.trainable_variables()
-      
+
     elastic_difference = [math_ops.subtract(v, lv) for v, lv in zip(
       variables.trainable_variables(),
       [self._local_map[var] for var in var_list])]

tensorflow/contrib/tpu/profiler/pip_package/setup.py

@@ -70,7 +70,7 @@
         'Topic :: Scientific/Engineering :: Mathematics',
         'Topic :: Scientific/Engineering :: Artificial Intelligence',
         'Topic :: Software Development',
-        'Topic :: Software Development :: Libraries',  
+        'Topic :: Software Development :: Libraries',
         'Topic :: Software Development :: Libraries :: Python Modules',
     ],
     license='Apache 2.0',

tensorflow/examples/how_tos/reading_data/fully_connected_reader.py

@@ -62,7 +62,7 @@ def decode(serialized_example):
 
   # Convert label from a scalar uint8 tensor to an int32 scalar.
   label = tf.cast(features['label'], tf.int32)
-  
+
   return image, label
 
 def augment(image, label):
@@ -172,7 +172,7 @@ def run_training():
           step += 1
       except tf.errors.OutOfRangeError:
         print('Done training for %d epochs, %d steps.' % (FLAGS.num_epochs, step))
-      
+
 def main(_):
   run_training()