Keep tf.distributions.* symbols in their current namespace (i.e. don'…

…t move to tf.probability.*

rfcs/20180827-api-names.md

@@ -54,8 +54,6 @@ Furthermore, TensorFlow API has many users. Therefore, we should avoid removing
 
 We plan to add the following additional namespaces:
 
-**tf.probability** - replaces `tf.distributions` namespace and will contain other ops related to statistics.
-
 **tf.random** - will contain random sampling ops.
 
 Note that we already introduced some new namespaces earlier in June, specifically
@@ -88,7 +86,7 @@ We also want to remove some of the existing endpoints. Specifically we were look
 *   Remove all endpoints that have been moved to `tf.random` namespace.
 *   Keeps most symbols in `tf.manip` in root namespace.
 
-In total, we propose to remove 222 endpoints, including 168 endpoints in the root namespace.
+In total, we propose to remove 207 endpoints, including 170 endpoints in the root namespace.
 
 See full list of endpoints we want to remove in *Appendix 2: Deprecated
 Endpoints*.
@@ -184,24 +182,6 @@ Work will be done in multiple stages:
 | tf.decode_csv | tf.io.decode_csv |
 | tf.depth_to_space | tf.nn.depth_to_space, tf.manip.depth_to_space |
 | tf.deserialize_many_sparse | tf.io.deserialize_many_sparse |
-| tf.distributions.Bernoulli | tf.probability.Bernoulli |
-| tf.distributions.Beta | tf.probability.Beta |
-| tf.distributions.Categorical | tf.probability.Categorical |
-| tf.distributions.Dirichlet | tf.probability.Dirichlet |
-| tf.distributions.DirichletMultinomial | tf.probability.DirichletMultinomial |
-| tf.distributions.Distribution | tf.probability.Distribution |
-| tf.distributions.Exponential | tf.probability.Exponential |
-| tf.distributions.FULLY_REPARAMETERIZED | tf.probability.FULLY_REPARAMETERIZED |
-| tf.distributions.Gamma | tf.probability.Gamma |
-| tf.distributions.Laplace | tf.probability.Laplace |
-| tf.distributions.Multinomial | tf.probability.Multinomial |
-| tf.distributions.NOT_REPARAMETERIZED | tf.probability.NOT_REPARAMETERIZED |
-| tf.distributions.Normal | tf.probability.Normal |
-| tf.distributions.RegisterKL | tf.probability.RegisterKL |
-| tf.distributions.ReparameterizationType | tf.probability.ReparameterizationType |
-| tf.distributions.StudentT | tf.probability.StudentT |
-| tf.distributions.Uniform | tf.probability.Uniform |
-| tf.distributions.kl_divergence | tf.probability.kl_divergence |
 | tf.divide | tf.math.divide |
 | tf.double | tf.dtypes.double |
 | tf.erf | tf.math.erf |
@@ -449,20 +429,6 @@ Work will be done in multiple stages:
 | tf.deserialize_many_sparse | replace with tf.io.deserialize_many_sparse |
 | tf.diag_part | replace with tf.linalg.tensor_diag_part |
 | tf.digamma | replace with tf.math.digamma |
-| tf.distributions.Bernoulli | replace with tf.probability.Bernoulli |
-| tf.distributions.Beta | replace with tf.probability.Beta |
-| tf.distributions.Categorical | replace with tf.probability.Categorical |
-| tf.distributions.Dirichlet | replace with tf.probability.Dirichlet |
-| tf.distributions.DirichletMultinomial | replace with tf.probability.DirichletMultinomial |
-| tf.distributions.Exponential | replace with tf.probability.Exponential |
-| tf.distributions.Gamma | replace with tf.probability.Gamma |
-| tf.distributions.Laplace | replace with tf.probability.Laplace |
-| tf.distributions.Multinomial | replace with tf.probability.Multinomial |
-| tf.distributions.RegisterKL | replace with tf.probability.RegisterKL |
-| tf.distributions.ReparameterizationType | replace with tf.probability.FULLY_REPARAMETERIZED |
-| tf.distributions.StudentT | replace with tf.probability.StudentT |
-| tf.distributions.Uniform | replace with tf.probability.Uniform |
-| tf.distributions.kl_divergence | replace with tf.probability.kl_divergence |
 | tf.encode_base64 | replace with tf.io.encode_base64 |
 | tf.erf | replace with tf.math.erf |
 | tf.erfc | replace with tf.math.erfc |