message: Update relaxed_onehot_categorical.py
  Fixed: default dtype in class documentation
diff: @@ -150,7 +150,7 @@ class ExpRelaxedOneHotCategorical(distribution.Distribution):
  `N - 1` dimensions index into a batch of independent distributions and
  the last dimension represents a vector of probabilities for each
  class. Only one of `logits` or `probs` should be passed in.
  - dtype: The type of the event samples (default: int32).
  + dtype: The type of the event samples (default: float32).
  validate_args: Python `bool`, default `False`. When `True` distribution
  parameters are checked for validity despite possibly degrading runtime
  performance. When `False` invalid inputs may silently render incorrect
  @@ -388,7 +388,7 @@ class RelaxedOneHotCategorical(
  dimensions index into a batch of independent distributions and the last
  dimension represents a vector of probabilities for each class. Only one
  of `logits` or `probs` should be passed in.
  - dtype: The type of the event samples (default: int32).
  + dtype: The type of the event samples (default: float32).
  validate_args: Unused in this distribution.
  allow_nan_stats: Python `bool`, default `True`. If `False`, raise an
  exception if a statistic (e.g. mean/mode/etc...) is undefined for any
  