tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.loss(final_loss, name='Loss')

tf.contrib.framework.assign_from_checkpoint(model_path, var_list) Creates an operation to assign specific variables from a checkpoint

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

tf.contrib.rnn.LSTMBlockCell.__call__(x, states_prev, scope=None) Long short-term memory cell (LSTM).

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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

tf.nn.rnn_cell.LSTMStateTuple.h Alias for field number 1

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma Dense (batch) covariance matrix, if available.

tf.contrib.distributions.QuantizedDistribution.variance(name='variance') Variance.