tf.contrib.learn.run_n( output_dict, feed_dict=None, restore_checkpoint_path=None, n=1 )
See the guide: Learn (contrib) > Graph actions
n times, with the same
feed_dict each run. (deprecated)
THIS FUNCTION IS DEPRECATED. It will be removed after 2017-02-15. Instructions for updating: graph_actions.py will be deleted. Use tf.train.* utilities instead. You can use learn/estimators/estimator.py as an example.
dictmapping string names to tensors to run. Must all be from the same graph.
dictof input values to feed each run.
restore_checkpoint_path: A string containing the path to a checkpoint to restore.
n: Number of times to repeat.
A list of
dict objects, each containing values read from