run yapf and isort.

Author: luomai

example/tutorial_mnist_distributed.py

@@ -14,7 +14,6 @@
 import tensorflow as tf
 import tensorlayer as tl
 
-
 # load environment for distributed training
 task_spec = tl.distributed.TaskSpec()
 task_spec.create_server()

tensorlayer/utils.py

@@ -1,6 +1,12 @@
 # -*- coding: utf-8 -*-
+import os
 import random
+import subprocess
+import sys
 import time
+from contextlib import contextmanager
+from sys import exit as _exit
+from sys import platform as _platform
 
 import numpy as np
 import tensorflow as tf
@@ -9,13 +15,6 @@
 from . import _logging as logging
 from . import iterate
 
-import os
-import subprocess
-import sys
-from contextlib import contextmanager
-from sys import exit as _exit
-from sys import platform as _platform
-
 
 def fit(sess,
         network,
@@ -535,8 +534,7 @@ def exit_tensorflow(sess=None, port=6006):
         _exit()
     elif _platform == "darwin":
         logging.info('OS X: %s' % text)
-        subprocess.Popen("lsof -i tcp:" + str(port) + "  | grep -v PID | awk '{print $2}' | xargs kill",
-                         shell=True)  # kill tensorboard
+        subprocess.Popen("lsof -i tcp:" + str(port) + "  | grep -v PID | awk '{print $2}' | xargs kill", shell=True)  # kill tensorboard
     elif _platform == "win32":
         logging.info(text2 + "Windows")
         # TODO