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Update relaxed_onehot_categorical.py

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Fixed: default dtype in class documentation
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lhlmgr 2017-09-05 20:12:48 +02:00 committed by GitHub
parent b5214cab61
commit 31ce478e27
1 changed files with 2 additions and 2 deletions
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tensorflow/contrib/distributions/python/ops/relaxed_onehot_categorical.py
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@ -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