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What is the best way to quickly see the updated graph in the most recent event file in an open TensorBoard session? Re-running my Python app results in a new log file being created with potentially new events/graph. However, TensorBoard does not seem to notice those differences, unless restarted.
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It turns out that TensorBoard backend refreshes the logs every minute. This has been reported as a TensorFlow issue.
The reload interval can be configured using the
--reload_intervalflag of the TensorBoard process, but this option is currently only available in master and as of version 0.8 has not been released.My issue is different. Each time I refresh
0.0.0.0:6006, it seems the new graph keep appending to the old one, which is quite annoying.After trying kill process and delete old log several times, I realized the issue comes from
writer.add_graph(sess.graph), because I didn't reset the graph in jupyter notebook. After resetting, the tensorboard could show the newest gragh.