Update generated Python Op docs.

Change: 143985360

4 files changed, 8 insertions, 14 deletions

diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.reduce_join.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.reduce_join.md
index a93d8208ff..2a6d631b6b 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.reduce_join.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.reduce_join.md
@@ -5,10 +5,7 @@ Joins a string Tensor across the given dimensions.
 Computes the string join across dimensions in the given string Tensor of shape
 `[d_0, d_1, ..., d_n-1]`.  Returns a new Tensor created by joining the input
 strings with the given separator (default: empty string).  Negative indices are
-counted backwards from the end, with `-1` being equivalent to `n - 1`.  Passing
-an empty `axis` joins all strings in linear index order and outputs
-a scalar string.
-
+counted backwards from the end, with `-1` being equivalent to `n - 1`.
 
 For example:
 
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.train.Supervisor.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.train.Supervisor.md
index 63b3cbc843..d6c6693a5a 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.train.Supervisor.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.train.Supervisor.md
@@ -91,7 +91,7 @@ following values for the --master flag:
   details.
 
 * Specifying `'grpc://hostname:port'` requests a session that uses
-  the RPC interface to a specific , and also allows the in-process
+  the RPC interface to a specific host, and also allows the in-process
   master to access remote tensorflow workers. Often, it is
   appropriate to pass `server.target` (for some `tf.train.Server`
   named `server).
@@ -174,8 +174,8 @@ Create a `Supervisor`.
     ready to run the local_init_op.
     The model is considered ready if it returns an empty array.  Defaults to
     the tensor returned from
-    `tf.report_uninitialized_variables(tf.global_variables())`. If `None`, the
-    model is not checked for readiness before running local_init_op.
+    `tf.report_uninitialized_variables(tf.global_variables())`. If `None`,
+    the model is not checked for readiness before running local_init_op.
 *  <b>`is_chief`</b>: If True, create a chief supervisor in charge of initializing
     and restoring the model.  If False, create a supervisor that relies
     on a chief supervisor for inits and restore.
diff --git a/tensorflow/g3doc/api_docs/python/string_ops.md b/tensorflow/g3doc/api_docs/python/string_ops.md
index fc27ba36f0..a53210c46d 100644
--- a/tensorflow/g3doc/api_docs/python/string_ops.md
+++ b/tensorflow/g3doc/api_docs/python/string_ops.md
@@ -112,10 +112,7 @@ Joins a string Tensor across the given dimensions.
 Computes the string join across dimensions in the given string Tensor of shape
 `[d_0, d_1, ..., d_n-1]`.  Returns a new Tensor created by joining the input
 strings with the given separator (default: empty string).  Negative indices are
-counted backwards from the end, with `-1` being equivalent to `n - 1`.  Passing
-an empty `axis` joins all strings in linear index order and outputs
-a scalar string.
-
+counted backwards from the end, with `-1` being equivalent to `n - 1`.
 
 For example:
 
diff --git a/tensorflow/g3doc/api_docs/python/train.md b/tensorflow/g3doc/api_docs/python/train.md
index 3f7017f6b8..85d6d02714 100644
--- a/tensorflow/g3doc/api_docs/python/train.md
+++ b/tensorflow/g3doc/api_docs/python/train.md
@@ -2267,7 +2267,7 @@ following values for the --master flag:
   details.
 
 * Specifying `'grpc://hostname:port'` requests a session that uses
-  the RPC interface to a specific , and also allows the in-process
+  the RPC interface to a specific host, and also allows the in-process
   master to access remote tensorflow workers. Often, it is
   appropriate to pass `server.target` (for some `tf.train.Server`
   named `server).
@@ -2350,8 +2350,8 @@ Create a `Supervisor`.
     ready to run the local_init_op.
     The model is considered ready if it returns an empty array.  Defaults to
     the tensor returned from
-    `tf.report_uninitialized_variables(tf.global_variables())`. If `None`, the
-    model is not checked for readiness before running local_init_op.
+    `tf.report_uninitialized_variables(tf.global_variables())`. If `None`,
+    the model is not checked for readiness before running local_init_op.
 *  <b>`is_chief`</b>: If True, create a chief supervisor in charge of initializing
     and restoring the model.  If False, create a supervisor that relies
     on a chief supervisor for inits and restore.