tf.contrib.learn.monitors.NanLoss.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once.

tf.contrib.distributions.Poisson.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

tf.contrib.distributions.Multinomial.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.value_type(dist_value_type) Creates a value type context for any StochasticTensor created

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

tf.contrib.distributions.Gamma.log_pdf(value, name='log_pdf') Log probability density function. Args:

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

tf.contrib.distributions.TransformedDistribution.base_distribution Base distribution, p(x).