title: Tensorboard get blank page
body: <p>I'm new in <strong>tensorflow</strong> and i follow this <a href="https://www.youtube.com/watch?v=zp5EtBvwQbw&amp;t=624s" rel="nofollow noreferrer">tutorial</a> to learn about this framework.</p>
  <p>Now i'm trying to visualize my graph using <strong>Tensorboard</strong> but but i get a tensorboard blank page without any result.</p>
  <p>The code that i use to visualize the graph is:</p>
  <pre><code>from __future__ import print_function
  import tensorflow as tf
  import numpy as np
  
  
  def add_layer(inputs, in_size, out_size, n_layer,     activation_function=None):
  # add one more layer and return the output of this layer
  layer_name = 'layer%s' % n_layer
  with tf.name_scope(layer_name):
      with tf.name_scope('weights'):
          Weights = tf.Variable(tf.random_normal([in_size, out_size]), name='W')
          tf.summary.histogram(layer_name + '/weights', Weights)
      with tf.name_scope('biases'):
          biases = tf.Variable(tf.zeros([1, out_size]) + 0.1, name='b')
          tf.summary.histogram(layer_name + '/biases', biases)
      with tf.name_scope('Wx_plus_b'):
          Wx_plus_b = tf.add(tf.matmul(inputs, Weights), biases)
      if activation_function is None:
          outputs = Wx_plus_b
      else:
          outputs = activation_function(Wx_plus_b, )
      tf.summary.histogram(layer_name + '/outputs', outputs)
  return outputs
  
  
  # Make up some real data
  x_data = np.linspace(-1, 1, 300)[:, np.newaxis]
  noise = np.random.normal(0, 0.05, x_data.shape)
  y_data = np.square(x_data) - 0.5 + noise
  
  # define placeholder for inputs to network
  with tf.name_scope('inputs'):
      xs = tf.placeholder(tf.float32, [None, 1], name='x_input')
      ys = tf.placeholder(tf.float32, [None, 1], name='y_input')
  
  # add hidden layer
  l1 = add_layer(xs, 1, 10, n_layer=1, activation_function=tf.nn.relu)
  # add output layer
  prediction = add_layer(l1, 10, 1, n_layer=2, activation_function=None)
  
  # the error between prediciton and real data
  with tf.name_scope('loss'):
      loss = tf.reduce_mean(tf.reduce_sum(tf.square(ys - prediction),
                                      reduction_indices=[1]))
      tf.summary.scalar('loss', loss)
  
  with tf.name_scope('train'):
       train_step = tf.train.GradientDescentOptimizer(0.1).minimize(loss)
  
  sess = tf.Session()
  merged = tf.summary.merge_all()
  
  writer = tf.summary.FileWriter(&quot;logs/&quot;, sess.graph)
  
  init = tf.global_variables_initializer()
  sess.run(init)
  
  for i in range(1000):
      sess.run(train_step, feed_dict={xs: x_data, ys: y_data})
      if i % 50 == 0:
          result = sess.run(merged,
                        feed_dict={xs: x_data, ys: y_data})
          writer.add_summary(result, i)
  </code></pre>
  <p>I'm using <strong>Ubuntu 16.04</strong> with <strong>python 2.7</strong> and my <strong>tensorflow version is 1.0.1</strong>.</p>
  <p>When i run the program is created a new log file, and after that i use theis command to visualize the tensorboard:</p>
  <pre><code> tensorboard --logdir=/logs
  </code></pre>
  <p>then if i go to <strong><a href="http://127.0.1.1:6006/" rel="nofollow noreferrer">http://127.0.1.1:6006/</a></strong> get the Tensorboard page without any summary, why?</p>
  <p>I also try to use another browser but not works.</p>