title: All runs are not visible on TensorBoard
body: <p>I am using tensorboard to visualize three runs. I have a folder, <code>logs</code>, which contains three files:  </p>
  
  <pre><code>2016-03-18_22-11-12
  2016-03-18_22-11-27
  2016-03-18_22-23-46
  </code></pre>
  
  <p>when I run <code>tensorboard --logdir .</code> (from logs), only <code>2016-03-18_22-23-46</code>
   is visible:<a href="https://i.stack.imgur.com/254nZ.png" rel="noreferrer"><img src="https://i.stack.imgur.com/254nZ.png" alt="blu"></a></p>
  
  <p>And if I delete <code>2016-03-18_22-23-46</code> from logs and restart tensorboard, then only <code>2016-03-18_22-11-27</code> is visible. Any idea of what's happening here?</p>
  
  <p>Edit: the log files are (to my surprise), quite big: here is the result of <code>du -h</code>:</p>
  
  <pre><code>1,1G    ./2016-03-18_22-23-46
  925M    ./2016-03-18_22-11-12
  934M    ./2016-03-18_22-11-27
  2,9G    .
  </code></pre>
  
  <p><strong>EDIT:</strong>
  The above run structure can be obtained via logging and checkpointing into <a href="https://www.tensorflow.org/versions/r0.8/how_tos/summaries_and_tensorboard/index.html#launching-tensorboard" rel="noreferrer">subdirectories of the tensorboard log-dir</a>:</p>
  
  <pre><code>run_time = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
  FLAGS.train_dir = '/datalab/tf_runs/' + run_time #Directory to put the training data.
  summary_writer = tf.train.SummaryWriter(FLAGS.train_dir, sess.graph_def)
  </code></pre>