tf.contrib.distributions.Exponential.name Name prepended to all ops created by this Distribution.

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph

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

tf.contrib.distributions.MultivariateNormalDiag.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

tf.contrib.graph_editor.ControlOutputs.get_all()

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

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

tf.contrib.graph_editor.keep_t_if_possible_handler(info, t) Transform a tensor into itself (identity) if possible.

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

tf.contrib.distributions.Laplace.prob(value, name='prob') Probability density/mass function (depending on is_continuous)