Update generated Python Op docs.

Change: 136825390
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A. Unique TensorFlower 2016-10-21 05:24:53 -08:00 committed by TensorFlower Gardener
parent 21c7bb670e
commit e9e56f2b18
2 changed files with 14 additions and 14 deletions

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@ -20227,8 +20227,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20345,8 +20345,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20429,8 +20429,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20468,8 +20468,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20621,8 +20621,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20675,8 +20675,8 @@ Samples from the base distribution and then passes through
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -20724,8 +20724,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:

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@ -185,8 +185,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -303,8 +303,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -387,8 +387,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -426,8 +426,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -579,8 +579,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -633,8 +633,8 @@ Samples from the base distribution and then passes through
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args:
@ -682,8 +682,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
* <b>`distribution_kwargs`</b>: Python dictionary of arg names/values forwarded to the distribution.
##### Args: