[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.learn.run_n\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/learn/python/learn/graph_actions.py#L631-L650) |\n\nRun `output_dict` tensors `n` times, with the same `feed_dict` each run. (deprecated) \n\n tf.contrib.learn.run_n(\n output_dict, feed_dict=None, restore_checkpoint_path=None, n=1\n )\n\n| **Warning:** 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.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------------|-----------------------------------------------------------------------------------|\n| `output_dict` | A `dict` mapping string names to tensors to run. Must all be from the same graph. |\n| `feed_dict` | `dict` of input values to feed each run. |\n| `restore_checkpoint_path` | A string containing the path to a checkpoint to restore. |\n| `n` | Number of times to repeat. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A list of `n` `dict` objects, each containing values read from `output_dict` tensors. ||\n\n\u003cbr /\u003e"]]
View source on GitHub