tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.dtype The DType of Tensors handled

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

tf.contrib.distributions.MultivariateNormalCholesky.allow_nan_stats Python boolean describing behavior when a stat is undefined

tf.contrib.distributions.Distribution.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Uniform.is_continuous

tf.contrib.distributions.MultivariateNormalFull.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.QuantizedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch as

tf.contrib.distributions.Laplace.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

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

tf.contrib.distributions.NormalWithSoftplusSigma.validate_args Python boolean indicated possibly expensive checks are enabled