ó
V¾÷Xc           @` s\  d  Z  d d l m Z d d l m Z d d l m Z d d l Td d l Td d l m Z d d l m	 Z	 d d l m
 Z
 d d	 l m Z d d
 l m Z d d l m Z d d l m Z d d l Td d l Td d l Td d l Td d l Td d l m Z d d l m Z d d l m Z d d l m Z d d l m Z d d l m Z e e ƒ Z d S(   s  Training and input utilities. See @{$python/contrib.training} guide.

@@batch_sequences_with_states
@@NextQueuedSequenceBatch
@@SequenceQueueingStateSaver
@@rejection_sample
@@resample_at_rate
@@stratified_sample
@@weighted_resample
@@bucket
@@bucket_by_sequence_length
i    (   t   absolute_import(   t   division(   t   print_function(   t   *(   t   checkpoints_iterator(   t   evaluate_once(   t   evaluate_repeatedly(   t   get_or_create_eval_step(   t   StopAfterNEvalsHook(   t   SummaryAtEndHook(   t   wait_for_new_checkpoint(   t   add_gradients_summaries(   t   clip_gradient_norms(   t   create_train_op(   t   multiply_gradients(   t   train(   t   make_allN(   t   __doc__t
   __future__R    R   R   t6   tensorflow.contrib.training.python.training.bucket_opst9   tensorflow.contrib.training.python.training.device_settert6   tensorflow.contrib.training.python.training.evaluationR   R   R   R   R   R	   R
   t=   tensorflow.contrib.training.python.training.failure_toleratort2   tensorflow.contrib.training.python.training.feedert4   tensorflow.contrib.training.python.training.resamplet8   tensorflow.contrib.training.python.training.sampling_opstI   tensorflow.contrib.training.python.training.sequence_queueing_state_savert4   tensorflow.contrib.training.python.training.trainingR   R   R   R   R   t   tensorflow.python.util.all_utilR   t   __name__t   __all__(    (    (    sf   /tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/training/__init__.pyt   <module>   s0   
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