tf.contrib.training.NextQueuedSequenceBatch.save_state(state_name, value, name=None) Returns an op to save the current batch of

tf.contrib.learn.monitors.LoggingTrainable.epoch_end(epoch) End epoch. Args:

tf.contrib.rnn.LSTMBlockCell.__call__(x, states_prev, scope=None) Long short-term memory cell (LSTM).

tf.contrib.learn.monitors.SummarySaver.set_estimator(estimator)

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.

tf.contrib.learn.monitors.BaseMonitor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.graph_editor.SubGraphView.__init__(inside_ops=(), passthrough_ts=()) Create a subgraph containing the given ops and

tf.contrib.distributions.ExponentialWithSoftplusLam.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.