Update generated Python Op docs.
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@ -23429,3 +23429,29 @@ Initialize the KL registrar.
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## Utilities
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- - -
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### `tf.contrib.distributions.softplus_inverse(x, name=None)` {#softplus_inverse}
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Computes the inverse softplus, i.e., x = softplus_inverse(softplus(x)).
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Mathematically this op is equivalent to:
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```none
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softplus_inverse = log(exp(x) - 1.)
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```
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##### Args:
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* <b>`x`</b>: `Tensor`. Non-negative (not enforced), floating-point.
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* <b>`name`</b>: A name for the operation (optional).
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##### Returns:
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`Tensor`. Has the same type/shape as input `x`.
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@ -0,0 +1,20 @@
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### `tf.contrib.distributions.softplus_inverse(x, name=None)` {#softplus_inverse}
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Computes the inverse softplus, i.e., x = softplus_inverse(softplus(x)).
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Mathematically this op is equivalent to:
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```none
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softplus_inverse = log(exp(x) - 1.)
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```
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##### Args:
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* <b>`x`</b>: `Tensor`. Non-negative (not enforced), floating-point.
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* <b>`name`</b>: A name for the operation (optional).
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##### Returns:
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`Tensor`. Has the same type/shape as input `x`.
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@ -770,6 +770,7 @@
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* [`Poisson`](../../api_docs/python/contrib.distributions.md#Poisson)
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* [`QuantizedDistribution`](../../api_docs/python/contrib.distributions.md#QuantizedDistribution)
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* [`RegisterKL`](../../api_docs/python/contrib.distributions.md#RegisterKL)
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* [`softplus_inverse`](../../api_docs/python/contrib.distributions.md#softplus_inverse)
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* [`StudentT`](../../api_docs/python/contrib.distributions.md#StudentT)
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* [`StudentTWithAbsDfSoftplusSigma`](../../api_docs/python/contrib.distributions.md#StudentTWithAbsDfSoftplusSigma)
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* [`TransformedDistribution`](../../api_docs/python/contrib.distributions.md#TransformedDistribution)
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