title: Cleaning up tensorflow summaries
body: <p>I have trained a model for a very long time (200 000 iterations). At each iteration, I have saved lots of data, such as the loss, accuracy, weights, etc, through the <code>tf.summary.FileWriter()</code> class. Yes, I know: that was stupid. As a result, I generated a huge summary that is almost 50 GB large. Now I would like to drop most of the information and keep, say, one line every 50. That would allow me to save lots of hard disk space and speed up tensorboard visualization while not having a significant impact on the quality of the summary. Is it possible to do so?</p>