tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.dtype

tf.contrib.distributions.MultivariateNormalFull.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).

tf.contrib.distributions.NormalWithSoftplusSigma.mean(name='mean') Mean.

tf.contrib.distributions.WishartFull.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.util.ops_used_by_graph_def(graph_def) Collect the list of ops used by a graph. Does

tf.contrib.distributions.MultivariateNormalDiag.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

tf.nn.rnn_cell.RNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

tf.contrib.distributions.MultivariateNormalDiag.pdf(value, name='pdf') Probability density function. Args: