python 2.7 - tensorflow group or collect fetches ops or tensors into single fetch -

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i general case tf.merge_all_summaries tf.get_collection('summaries').

as example, find tf.contrib.metrics.streaming* suite introduces set of "update_op" operations must run once each. find following syntax cumbersome,

_,_,_,_,_,summary,_=sess.run( tf.get_collection('updates')+[merged_summaries]+[train_op])

and looking workaround not require knowing number of updates in collection. using tensorflow-0.10 of writing.

tensorflow supports (since version 0.10) passing nested structures session.run(). example, can pass list of lists of tf.tensor objects session.run() , result similarly-nested list of lists of numpy arrays. can pass mixed list (or tuple) containing lists, tensors, , operations. in case, write following:

updates = tf.get_collection('updates') _, summary, _ = sess.run([updates, merged_summaries, train_op])

in case, return value sess.run() list 3 elements, first (ignored) element list same length updates.


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