class tf.contrib.distributions.QuantizedDistribution Distribution representing the quantization Y = ceiling(X).

tf.contrib.distributions.QuantizedDistribution.log_prob(value, name='log_prob') Log probability density/mass function (depending

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

bool tensorflow::Tensor::CopyFrom(const Tensor &other, const TensorShape &shape) TF_MUST_USE_RESULT Copy the other tensor

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

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

tf.argmin(input, dimension, name=None) Returns the index with the smallest value across dimensions of a tensor.

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

tf.contrib.distributions.MultivariateNormalDiag.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix.

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.loss(final_loss, name='Loss')