Fix TensorBoard callback warning

keras/callbacks.py

@@ -431,14 +431,15 @@ class TensorBoard(Callback):
             histograms for the layers of the model. If set to 0,
             histograms won't be computed.
     '''
-    def __init__(self, log_dir='./logs', histogram_freq=0):
+    def __init__(self, log_dir='./logs', histogram_freq=0, write_graph=True):
         super(Callback, self).__init__()
         if K._BACKEND != 'tensorflow':
             raise Exception('TensorBoard callback only works '
                             'with the TensorFlow backend.')
         self.log_dir = log_dir
         self.histogram_freq = histogram_freq
         self.merged = None
+        self.write_graph = write_graph
 
     def _set_model(self, model):
         import tensorflow as tf
@@ -457,8 +458,16 @@ def _set_model(self, model):
                     tf.histogram_summary('{}_out'.format(layer),
                                          layer.output)
         self.merged = tf.merge_all_summaries()
-        self.writer = tf.train.SummaryWriter(self.log_dir,
-                                             self.sess.graph_def)
+        if self.write_graph:
+            tf_version = tuple(int(i) for i in tf.__version__.split('.'))
+            if tf_version >= (0, 8, 0):
+                self.writer = tf.train.SummaryWriter(self.log_dir,
+                                                     self.sess.graph)
+            else:
+                self.writer = tf.train.SummaryWriter(self.log_dir,
+                                                     self.sess.graph_def)
+        else:
+            self.writer = tf.train.SummaryWriter(self.log_dir)
 
     def on_epoch_end(self, epoch, logs={}):
         import tensorflow as tf