提交 a1abc424 编写于 作者: A A. Unique TensorFlower 提交者: TensorFlower Gardener

Update generated Python Op docs.

Change: 136690791
上级 eb4f36c8
......@@ -20217,8 +20217,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20335,8 +20335,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20419,8 +20419,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20458,8 +20458,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20611,8 +20611,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20665,8 +20665,8 @@ Samples from the base distribution and then passes through
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -20714,8 +20714,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......
......@@ -182,8 +182,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -300,8 +300,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -384,8 +384,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`,
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -423,8 +423,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -576,8 +576,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -630,8 +630,8 @@ Samples from the base distribution and then passes through
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......@@ -679,8 +679,8 @@ Additional documentation from `TransformedDistribution`:
##### <b>`condition_kwargs`</b>:
* <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.
* <b>`bijector_kwargs`</b>: Python dictionary of arg names/values forwarded to the bijector.
##### Args:
......
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