### `tf.contrib.learn.run_n(*args, **kwargs)` {#run_n}

Run `output_dict` tensors `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.

##### Args:


*  <b>`output_dict`</b>: A `dict` mapping string names to tensors to run. Must all be
    from the same graph.
*  <b>`feed_dict`</b>: `dict` of input values to feed each run.
*  <b>`restore_checkpoint_path`</b>: A string containing the path to a checkpoint to
    restore.
*  <b>`n`</b>: Number of times to repeat.

##### Returns:

  A list of `n` `dict` objects, each containing values read from `output_dict`
  tensors.

