tf.contrib.learn.monitors.StepCounter.run_on_all_workers

tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

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

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

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name

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

tf.contrib.distributions.BetaWithSoftplusAB.variance(name='variance') Variance.