tf.SparseTensor.__init__(indices, values, shape) Creates a SparseTensor. Args:

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

tf.contrib.distributions.TransformedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.contrib.distributions.TransformedDistribution.is_reparameterized

tf.cos(x, name=None) Computes cos of x element-wise. Args:

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

tf.zeros_like(tensor, dtype=None, name=None, optimize=True) Creates a tensor with all elements set to zero.

tf.TextLineReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.contrib.distributions.Binomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D