update flake config and remove flake8 issues in the code (python3)

custom_op/setup.cfg

@@ -1,3 +1,3 @@
 [flake8]
 max-line-length = 120
-ignore = D102,E402,F403,N806,N802,N803,F405
+ignore = D102,E402,F403,N806,N802,N803,F405,E111,E114

examples/keras/keras_graph.py

@@ -2,7 +2,7 @@
 import numpy as np
 sess = tf.Session()
 
-from keras import backend as K
+from keras import backend as K  # noqa
 K.set_session(sess)
 
 
@@ -22,4 +22,4 @@
 
 saver = tf.train.Saver(tf.global_variables())
 saver.save(sess, './exported/my_model')
-tf.train.write_graph(sess.graph, '.', "./exported/graph.pb", as_text=False)
+tf.train.write_graph(sess.graph, '.', "./exported/graph.pb", as_text=False)

inference/example.py

@@ -17,13 +17,13 @@
     tf.train.write_graph(sess.graph, '.', "./exported/graph.pb_txt", as_text=True)
 
     t1 = tf.get_default_graph().get_tensor_by_name('output:0')
-    t2 = tf.get_default_graph().get_tensor_by_name('dense/kernel:0');
+    t2 = tf.get_default_graph().get_tensor_by_name('dense/kernel:0')
     t3 = tf.get_default_graph().get_tensor_by_name('dense/bias:0')
 
     t1, t2, t3, x = sess.run([t1, t2, t3, x], {x: val})
 
-    print tf.global_variables()
-    print "input           " ,x
-    print "output          " ,t1
-    print "dense/kernel:0  " ,t2
-    print "dense/bias:0    " ,t3
+    print(tf.global_variables())
+    print("input           ", x)
+    print("output          ", t1)
+    print("dense/kernel:0  ", t2)
+    print("dense/bias:0    ", t3)

inference/python/inference2.py

@@ -11,7 +11,6 @@
     filename_tensor_name = metaGraph.as_saver_def().filename_tensor_name
     sess.run(restore_op, {filename_tensor_name: './exported/my_model'})
 
-
     x = tf.get_default_graph().get_tensor_by_name('input:0')
     t1 = tf.get_default_graph().get_tensor_by_name('output:0')
     t2 = tf.get_default_graph().get_tensor_by_name('dense/kernel:0')

setup.cfg

@@ -0,0 +1,3 @@
+[flake8]
+max-line-length = 120
+ignore = D102,E402,F403,N806,N802,N803,F405,E111,E114