Update generated Python Op docs.

Change: 121412172

3 files changed, 40 insertions, 11 deletions

diff --git a/tensorflow/g3doc/api_docs/python/index.md b/tensorflow/g3doc/api_docs/python/index.md
index 584b39eb41..e7dfdda10e 100644
--- a/tensorflow/g3doc/api_docs/python/index.md
+++ b/tensorflow/g3doc/api_docs/python/index.md
@@ -91,6 +91,7 @@
   * [`ones_initializer`](../../api_docs/python/state_ops.md#ones_initializer)
   * [`random_normal_initializer`](../../api_docs/python/state_ops.md#random_normal_initializer)
   * [`random_uniform_initializer`](../../api_docs/python/state_ops.md#random_uniform_initializer)
+  * [`report_uninitialized_variables`](../../api_docs/python/state_ops.md#report_uninitialized_variables)
   * [`Saver`](../../api_docs/python/state_ops.md#Saver)
   * [`scatter_add`](../../api_docs/python/state_ops.md#scatter_add)
   * [`scatter_sub`](../../api_docs/python/state_ops.md#scatter_sub)
diff --git a/tensorflow/g3doc/api_docs/python/state_ops.md b/tensorflow/g3doc/api_docs/python/state_ops.md
index 9d56f07065..b35de13783 100644
--- a/tensorflow/g3doc/api_docs/python/state_ops.md
+++ b/tensorflow/g3doc/api_docs/python/state_ops.md
@@ -596,7 +596,7 @@ This is just a shortcut for `initialize_variables(local_variables())`
 
 ### `tf.is_variable_initialized(variable)` {#is_variable_initialized}
 
-Returns an Op to check if a variable has been initialized.
+Tests if a variable has been initialized.
 
 ##### Args:
 
@@ -605,7 +605,30 @@ Returns an Op to check if a variable has been initialized.
 
 ##### Returns:
 
-  An operation to check whether a variable has been initialized.
+  Returns a scalar boolean Tensor, `True` if the variable has been
+  initialized, `False` otherwise.
+
+
+- - -
+
+### `tf.report_uninitialized_variables(var_list=None, name='report_uninitialized_variables')` {#report_uninitialized_variables}
+
+Adds ops to list the names of uninitialized variables.
+
+When run, it returns a 1-D tensor containing the names of uninitialized
+variables if there are any, or an empty array if there are none.
+
+##### Args:
+
+
+*  <b>`var_list`</b>: List of `Variable` objects to check. Defaults to the
+    value of `all_variables() + local_variables()`
+*  <b>`name`</b>: Optional name of the `Operation`.
+
+##### Returns:
+
+  A 1-D tensor containing names of the unintialized variables, or an empty 1-D
+  tensor if there are no variables or no uninitialized variables.
 
 
 - - -
@@ -614,6 +637,9 @@ Returns an Op to check if a variable has been initialized.
 
 Returns an Op to check if variables are initialized.
 
+NOTE: This function is obsolete and will be removed in 6 months.  Please
+change your implementation to use `report_uninitialized_variables()`.
+
 When run, the returned Op will raise the exception `FailedPreconditionError`
 if any of the variables has not yet been initialized.
 
diff --git a/tensorflow/g3doc/api_docs/python/train.md b/tensorflow/g3doc/api_docs/python/train.md
index 5a8d6e254c..3a12b6ab17 100644
--- a/tensorflow/g3doc/api_docs/python/train.md
+++ b/tensorflow/g3doc/api_docs/python/train.md
@@ -1820,12 +1820,11 @@ Create a `Supervisor`.
     default `Graph`.  The supervisor may add operations to the graph before
     creating a session, but the graph should not be modified by the caller
     after passing it to the supervisor.
-*  <b>`ready_op`</b>: `Operation` to check if the model is initialized.  This
-    operation is run by supervisors in `prepare_or_wait_for_session()` to
-    check if the model is ready to use. The model is considered ready if
-    that operation succeeds.  Defaults to the operation returned from
-    `tf.assert_variables_initialized()`  If `None`, the model is not checked
-    for readiness.
+*  <b>`ready_op`</b>: 1-D string `Tensor`.  This tensor is evaluated by supervisors in
+    `prepare_or_wait_for_session()` to check if the model is ready to use.
+    The model is considered ready if it returns an empty array.  Defaults to
+    the tensor returned from `tf.report_uninitialized_variables()`  If
+    `None`, the model is not checked for readiness.
 *  <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.
@@ -2539,9 +2538,12 @@ Creates a SessionManager.
 The `local_init_op` is an `Operation` that is run always after a new session
 was created. If `None`, this step is skipped.
 
-The `ready_op` is an `Operation`. The model is considered ready
-if that operation succeeds.  If `None`, the model is not checked
-for readiness.
+The `ready_op` is an `Operation` used to check if the model is ready.  The
+model is considered ready if that operation returns an empty string tensor.
+If the operation returns non empty string tensor, the elements are
+concatenated and used to indicate to the user why the model is not ready.
+
+If `ready_op` is `None`, the model is not checked for readiness.
 
 `recovery_wait_secs` is the number of seconds between checks that
 the model is ready.  It is used by processes to wait for a model to