void tensorflow::Status::operator=(const Status &s)

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.name

tf.contrib.learn.monitors.CaptureVariable.end(session=None)

virtual Status tensorflow::WritableFile::Sync()=0

tf.contrib.losses.get_losses(scope=None, loss_collection='losses') Gets the list of losses from the loss_collection.

tf.random_uniform(shape, minval=0, maxval=None, dtype=tf.float32, seed=None, name=None) Outputs random values from a uniform distribution

tf.contrib.distributions.WishartFull.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.value_type

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

class tf.contrib.distributions.MultivariateNormalDiagPlusVDVT The multivariate normal distribution on R^k.