提交 b985ae23 编写于 作者: A A. Unique TensorFlower 提交者: TensorFlower Gardener

Update generated Python Op docs.

Change: 137682365
上级 44b2de26
......@@ -20986,8 +20986,8 @@ 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:
......@@ -21127,8 +21127,8 @@ 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:
......@@ -21211,8 +21211,8 @@ 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:
......@@ -21250,8 +21250,8 @@ 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:
......@@ -21403,8 +21403,8 @@ 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:
......@@ -21457,8 +21457,8 @@ 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:
......@@ -21506,8 +21506,8 @@ 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:
......
......@@ -185,8 +185,8 @@ 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:
......@@ -326,8 +326,8 @@ 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:
......@@ -410,8 +410,8 @@ 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:
......@@ -449,8 +449,8 @@ 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:
......@@ -602,8 +602,8 @@ 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:
......@@ -656,8 +656,8 @@ 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:
......@@ -705,8 +705,8 @@ 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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