diff options
Diffstat (limited to 'tensorflow/python/ops/distributions/transformed_distribution.py')
-rw-r--r-- | tensorflow/python/ops/distributions/transformed_distribution.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/ops/distributions/transformed_distribution.py b/tensorflow/python/ops/distributions/transformed_distribution.py index 09b26a9fb7..1be3819569 100644 --- a/tensorflow/python/ops/distributions/transformed_distribution.py +++ b/tensorflow/python/ops/distributions/transformed_distribution.py @@ -339,7 +339,7 @@ class TransformedDistribution(distribution_lib.Distribution): self.distribution.event_shape_tensor())) def _event_shape(self): - # If there's a chance that the event_shape has been overriden, we return + # If there's a chance that the event_shape has been overridden, we return # what we statically know about the `event_shape_override`. This works # because: `_is_maybe_event_override` means `static_override` is `None` or a # non-empty list, i.e., we don't statically know the `event_shape` or we do. @@ -360,7 +360,7 @@ class TransformedDistribution(distribution_lib.Distribution): self.distribution.batch_shape_tensor()) def _batch_shape(self): - # If there's a chance that the batch_shape has been overriden, we return + # If there's a chance that the batch_shape has been overridden, we return # what we statically know about the `batch_shape_override`. This works # because: `_is_maybe_batch_override` means `static_override` is `None` or a # non-empty list, i.e., we don't statically know the `batch_shape` or we do. |