message: Fixed a minor typo in FisherEstimator docstring.
diff: @@ -95,7 +95,7 @@ class FisherEstimator(object):
  blocks, kronecker factors, and losses associated with the
  graph.
  estimation_mode: The type of estimator to use for the Fishers. Can be
  - 'gradients', 'empirical', 'curvature_propagation', or 'exact'.
  + 'gradients', 'empirical', 'curvature_prop', or 'exact'.
  (Default: 'gradients'). 'gradients' is the basic estimation approach
  from the original K-FAC paper. 'empirical' computes the 'empirical'
  Fisher information matrix (which uses the data's distribution for the
  