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

tf.cholesky_solve(chol, rhs, name=None) Solves systems of linear eqns A X = RHS, given Cholesky factorizations.

tf.scalar_mul(scalar, x) Multiplies a scalar times a Tensor or IndexedSlices object.

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.clone(name=None, **dist_args)

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

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

tf.contrib.distributions.Categorical.mean(name='mean') Mean.

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

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

tf.contrib.distributions.LaplaceWithSoftplusScale.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='LaplaceWithSoftplusScale')