void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const Fill *proto from *this.

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value(name='value')

tf.nn.rnn_cell.LSTMStateTuple.c Alias for field number 0

tf.contrib.distributions.Uniform.mode(name='mode') Mode.

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name

tf.contrib.distributions.Exponential.is_continuous

tf.SparseTensor.eval(feed_dict=None, session=None) Evaluates this sparse tensor in a Session.

int64 tensorflow::TensorShape::num_elements() const Returns the number of elements in the tensor. We

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed