Save Tensorflow graph for viewing in Tensorboard without summary operations

Question

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 1

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.