tf.contrib.learn.run_n()

tf.contrib.learn.run_n(output_dict, feed_dict=None, restore_checkpoint_path=None, n=1)

Run output_dict tensors n times, with the same feed_dict each run.

Args:

• output_dict: A dict mapping string names to tensors to run. Must all be from the same graph.
• feed_dict: dict of 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.

Returns:

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