tf.sparse_segment_sqrt_n(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor divided by

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.Distribution.log_survival_function(value, name='log_survival_function') Log survival function.

tf.contrib.learn.monitors.SummarySaver.post_step(step, session)

tf.contrib.distributions.Uniform.std(name='std') Standard deviation.

tf.contrib.distributions.Chi2.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

tf.contrib.distributions.matrix_diag_transform(matrix, transform=None, name=None) Transform diagonal of [batch-]matrix, leave

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.value_type

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

tf.contrib.distributions.Categorical.get_event_shape() Shape of a single sample from a single batch as a TensorShape