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

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

tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict