Save Tensorflow graph for viewing in Tensorboard without summary operations

tensorflow tensorboard
jstaker7 picture jstaker7 · Dec 23, 2015 · Viewed 19.1k times · Source

I have a rather complicated Tensorflow graph that I'd like to visualize for optimization purposes. Is there a function that I can call that will simply save the graph for viewing in Tensorboard without needing to annotate variables?

I Tried this:

merged = tf.merge_all_summaries()
writer = tf.train.SummaryWriter("/Users/Name/Desktop/tf_logs", session.graph_def)

But no output was produced. This is using the 0.6 wheel.

This appears to be related: Graph visualisaton is not showing in tensorboard for seq2seq model

Answer

mrry picture mrry · Dec 23, 2015

For efficiency, the tf.train.SummaryWriter logs asynchronously to disk. To ensure that the graph appears in the log, you must call close() or flush() on the writer before the program exits.

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