tf.SparseTensor.eval(feed_dict=None, session=None) Evaluates this sparse tensor in a Session.

tf.contrib.distributions.QuantizedDistribution.log_prob(value, name='log_prob') Log probability density/mass function (depending

tf.zeros_like(tensor, dtype=None, name=None, optimize=True) Creates a tensor with all elements set to zero.

tf.QueueBase.names The list of names for each component of a queue element.

tf.contrib.distributions.Chi2WithAbsDf.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.contrib.distributions.Distribution.is_reparameterized

tf.contrib.distributions.InverseGamma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

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

tf.contrib.distributions.Distribution.is_continuous

tf.contrib.rnn.GridLSTMCell.state_tuple_type