tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

tf.contrib.distributions.QuantizedDistribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

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

tf.truediv(x, y, name=None) Divides x / y elementwise, always producing floating point results. The

tf.contrib.distributions.Distribution.cdf(value, name='cdf') Cumulative distribution function. Given

tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

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

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

bool tensorflow::Status::operator==(const Status &x) const

tf.contrib.learn.LinearClassifier.get_variable_value(name)