tf.contrib.distributions.LaplaceWithSoftplusScale.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Mixture.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.Distribution.survival_function(value, name='survival_function') Survival function.

tf.contrib.distributions.Mixture.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

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

tf.contrib.distributions.WishartFull.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

tf.contrib.distributions.QuantizedDistribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample(sample_shape=(), seed=None, name='sample') Generate samples of

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name