What's the best way to refresh TensorBoard after new events/logs were added?
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.
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.