Rename `Tensor` to `Output` in all Python docs

Generated by running:
$ find . -name '*.py' | xargs sed -i 's/a `Tensor`/an `Output`/g'
$ find . -name '*.py' | xargs sed -i 's/A `Tensor`/An `Output`/g'
$ find . -name '*.py' | xargs sed -i 's/`Tensor`/`Output`/g'
$ find . -name '*.py' | xargs sed -i 's/`tf.Tensor`/`tf.Output`/g'
$ find . -name '*.py' | xargs sed -i 's/`Tensors`/`Output`s/g'
$ find . -name '*.py' | xargs sed -i 's/#Tensor)/#Output)/g'
$ find . -name '*.py' | xargs sed -i 's/#Tensor\./#Output./g'

Manually fixed up lines that exceeded 80 characters after the change.
Change: 139400135

5 files changed, 36 insertions, 36 deletions

diff --git a/tensorflow/contrib/graph_editor/reroute.py b/tensorflow/contrib/graph_editor/reroute.py
index 5728435113..dd3e7ea7f4 100644
--- a/tensorflow/contrib/graph_editor/reroute.py
+++ b/tensorflow/contrib/graph_editor/reroute.py
@@ -44,8 +44,8 @@ def _check_ts_compatibility(ts0, ts1):
   """Make sure the shape and dtype of the two tensor's lists are compatible.
 
   Args:
-    ts0: an object convertible to a list of `tf.Tensor`.
-    ts1: an object convertible to a list of `tf.Tensor`.
+    ts0: an object convertible to a list of `tf.Output`.
+    ts1: an object convertible to a list of `tf.Output`.
   Raises:
     ValueError: if any pair of tensors (same index in ts0 and ts1) have
       a dtype or a shape which is not compatible.
@@ -163,8 +163,8 @@ def _reroute_ts(ts0, ts1, mode, can_modify=None, cannot_modify=None):
   Warning: this function is directly manipulating the internals of the tf.Graph.
 
   Args:
-    ts0: an object convertible to a list of `tf.Tensor`.
-    ts1: an object convertible to a list of `tf.Tensor`.
+    ts0: an object convertible to a list of `tf.Output`.
+    ts1: an object convertible to a list of `tf.Output`.
     mode: what to do with those tensors: "a->b" or "b<->a" for swaping and
       "a->b" or "b->a" for one direction re-routing.
     can_modify: iterable of operations which can be modified. Any operation
@@ -175,7 +175,7 @@ def _reroute_ts(ts0, ts1, mode, can_modify=None, cannot_modify=None):
   Returns:
     The number of individual modifications made by the function.
   Raises:
-    TypeError: if `ts0` or `ts1` cannot be converted to a list of `tf.Tensor`.
+    TypeError: if `ts0` or `ts1` cannot be converted to a list of `tf.Output`.
     TypeError: if `can_modify` or `cannot_modify` is not `None` and cannot be
       converted to a list of `tf.Operation`.
   """
@@ -215,8 +215,8 @@ def swap_ts(ts0, ts1, can_modify=None, cannot_modify=None):
   A0 A1     A0 A1
 
   Args:
-    ts0: an object convertible to a list of `tf.Tensor`.
-    ts1: an object convertible to a list of `tf.Tensor`.
+    ts0: an object convertible to a list of `tf.Output`.
+    ts1: an object convertible to a list of `tf.Output`.
     can_modify: iterable of operations which can be modified. Any operation
       outside within_ops will be left untouched by this function.
     cannot_modify: iterable of operations which cannot be modified.
@@ -242,8 +242,8 @@ def reroute_a2b_ts(ts0, ts1, can_modify=None, cannot_modify=None):
   The end of the tensors in ts1 are left dangling.
 
   Args:
-    ts0: an object convertible to a list of `tf.Tensor`.
-    ts1: an object convertible to a list of `tf.Tensor`.
+    ts0: an object convertible to a list of `tf.Output`.
+    ts1: an object convertible to a list of `tf.Output`.
     can_modify: iterable of operations which can be modified. Any operation
       outside within_ops will be left untouched by this function.
     cannot_modify: iterable of operations which cannot be modified. Any
@@ -268,8 +268,8 @@ def reroute_b2a_ts(ts0, ts1, can_modify=None, cannot_modify=None):
   The end of the tensors in ts0 are left dangling.
 
   Args:
-    ts0: an object convertible to a list of `tf.Tensor`.
-    ts1: an object convertible to a list of `tf.Tensor`.
+    ts0: an object convertible to a list of `tf.Output`.
+    ts1: an object convertible to a list of `tf.Output`.
     can_modify: iterable of operations which can be modified. Any operation
       outside within_ops will be left untouched by this function.
     cannot_modify: iterable of operations which cannot be modified.
diff --git a/tensorflow/contrib/graph_editor/select.py b/tensorflow/contrib/graph_editor/select.py
index 0e2914cb0d..8253bc1943 100644
--- a/tensorflow/contrib/graph_editor/select.py
+++ b/tensorflow/contrib/graph_editor/select.py
@@ -119,7 +119,7 @@ def filter_ts(ops, positive_filter):
     positive_filter: a function deciding whether to keep a tensor or not.
       If `True`, all the tensors are returned.
   Returns:
-    A list of `tf.Tensor`.
+    A list of `tf.Output`.
   Raises:
     TypeError: if ops cannot be converted to a list of `tf.Operation`.
   """
@@ -616,7 +616,7 @@ def select_ops(*args, **kwargs):
 
   Args:
     *args: list of 1) regular expressions (compiled or not) or  2) (array of)
-      `tf.Operation`. `tf.Tensor` instances are silently ignored.
+      `tf.Operation`. `tf.Output` instances are silently ignored.
     **kwargs: 'graph': `tf.Graph` in which to perform the regex query.This is
       required when using regex.
       'positive_filter': an elem if selected only if `positive_filter(elem)` is
@@ -628,7 +628,7 @@ def select_ops(*args, **kwargs):
   Raises:
     TypeError: if the optional keyword argument graph is not a `tf.Graph`
       or if an argument in args is not an (array of) `tf.Operation`
-      or an (array of) `tf.Tensor` (silently ignored) or a string
+      or an (array of) `tf.Output` (silently ignored) or a string
       or a regular expression.
     ValueError: if one of the keyword arguments is unexpected or if a regular
       expression is used without passing a graph as a keyword argument.
@@ -682,7 +682,7 @@ def select_ts(*args, **kwargs):
 
   Args:
     *args: list of 1) regular expressions (compiled or not) or  2) (array of)
-      `tf.Tensor`. `tf.Operation` instances are silently ignored.
+      `tf.Output`. `tf.Operation` instances are silently ignored.
     **kwargs: 'graph': `tf.Graph` in which to perform the regex query.This is
       required when using regex.
       'positive_filter': an elem if selected only if `positive_filter(elem)` is
@@ -690,10 +690,10 @@ def select_ts(*args, **kwargs):
       'restrict_ts_regex': a regular expression is ignored if it doesn't start
         with the substring "(?#ts)".
   Returns:
-    A list of `tf.Tensor`.
+    A list of `tf.Output`.
   Raises:
     TypeError: if the optional keyword argument graph is not a `tf.Graph`
-      or if an argument in args is not an (array of) `tf.Tensor`
+      or if an argument in args is not an (array of) `tf.Output`
       or an (array of) `tf.Operation` (silently ignored) or a string
       or a regular expression.
     ValueError: if one of the keyword arguments is unexpected or if a regular
@@ -758,10 +758,10 @@ def select_ops_and_ts(*args, **kwargs):
   Returns:
     A tuple `(ops, ts)` where:
       `ops` is a list of `tf.Operation`, and
-      `ts` is a list of `tf.Tensor`
+      `ts` is a list of `tf.Output`
   Raises:
     TypeError: if the optional keyword argument graph is not a `tf.Graph`
-      or if an argument in args is not an (array of) `tf.Tensor`
+      or if an argument in args is not an (array of) `tf.Output`
       or an (array of) `tf.Operation` or a string or a regular expression.
     ValueError: if one of the keyword arguments is unexpected or if a regular
       expression is used without passing a graph as a keyword argument.
diff --git a/tensorflow/contrib/graph_editor/subgraph.py b/tensorflow/contrib/graph_editor/subgraph.py
index 00a755c79f..e678823245 100644
--- a/tensorflow/contrib/graph_editor/subgraph.py
+++ b/tensorflow/contrib/graph_editor/subgraph.py
@@ -165,14 +165,14 @@ class SubGraphView(object):
     Args:
       inside_ops: an object convertible to a list of `tf.Operation`. This list
         defines all the operations in the subgraph.
-      passthrough_ts: an object convertible to a list of `tf.Tensor`. This list
+      passthrough_ts: an object convertible to a list of `tf.Output`. This list
         define all the "passthrough" tensors. A passthrough tensor is a tensor
         which goes directly from the input of the subgraph to it output, without
         any intermediate operations. All the non passthrough tensors are
         silently ignored.
     Raises:
       TypeError: if inside_ops cannot be converted to a list of `tf.Operation`
-        or if `passthrough_ts` cannot be converted to a list of `tf.Tensor`.
+        or if `passthrough_ts` cannot be converted to a list of `tf.Output`.
     """
 
     inside_ops = util.make_list_of_op(inside_ops)
@@ -598,7 +598,7 @@ def make_view(*args, **kwargs):
 
   Args:
     *args: list of 1) regular expressions (compiled or not) or  2) (array of)
-      `tf.Operation` 3) (array of) `tf.Tensor`. Those objects will be converted
+      `tf.Operation` 3) (array of) `tf.Output`. Those objects will be converted
       into a list of operations and a list of candidate for passthrough tensors.
     **kwargs: keyword graph is used 1) to check that the ops and ts are from
       the correct graph 2) for regular expression query
@@ -606,7 +606,7 @@ def make_view(*args, **kwargs):
     A subgraph view.
   Raises:
     TypeError: if the optional keyword argument graph is not a `tf.Graph`
-      or if an argument in args is not an (array of) `tf.Tensor`
+      or if an argument in args is not an (array of) `tf.Output`
       or an (array of) `tf.Operation` or a string or a regular expression.
     ValueError: if one of the keyword arguments is unexpected.
   """
diff --git a/tensorflow/contrib/graph_editor/transform.py b/tensorflow/contrib/graph_editor/transform.py
index 26047437d7..b62b15d22c 100644
--- a/tensorflow/contrib/graph_editor/transform.py
+++ b/tensorflow/contrib/graph_editor/transform.py
@@ -89,7 +89,7 @@ def assign_renamed_collections_handler(info, elem, elem_):
 
   Args:
     info: Transform._Info instance.
-    elem: the original element (`tf.Tensor` or `tf.Operation`)
+    elem: the original element (`tf.Output` or `tf.Operation`)
     elem_: the transformed element
   """
   # TODO(fkp): handle known special cases
diff --git a/tensorflow/contrib/graph_editor/util.py b/tensorflow/contrib/graph_editor/util.py
index 11ee2435c9..a72d0e34b4 100644
--- a/tensorflow/contrib/graph_editor/util.py
+++ b/tensorflow/contrib/graph_editor/util.py
@@ -210,7 +210,7 @@ def make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False):
       operation.
     check_graph: if `True` check if all the operations belong to the same graph.
     allow_graph: if `False` a `tf.Graph` cannot be converted.
-    ignore_ts: if True, silently ignore `tf.Tensor`.
+    ignore_ts: if True, silently ignore `tf.Output`.
   Returns:
     A newly created list of `tf.Operation`.
   Raises:
@@ -241,7 +241,7 @@ def get_tensors(graph):
   Args:
     graph: a `tf.Graph`.
   Returns:
-    A list of `tf.Tensor`.
+    A list of `tf.Output`.
   Raises:
     TypeError: if graph is not a `tf.Graph`.
   """
@@ -254,17 +254,17 @@ def get_tensors(graph):
 
 
 def make_list_of_t(ts, check_graph=True, allow_graph=True, ignore_ops=False):
-  """Convert ts to a list of `tf.Tensor`.
+  """Convert ts to a list of `tf.Output`.
 
   Args:
-    ts: can be an iterable of `tf.Tensor`, a `tf.Graph` or a single tensor.
+    ts: can be an iterable of `tf.Output`, a `tf.Graph` or a single tensor.
     check_graph: if `True` check if all the tensors belong to the same graph.
     allow_graph: if `False` a `tf.Graph` cannot be converted.
     ignore_ops: if `True`, silently ignore `tf.Operation`.
   Returns:
-    A newly created list of `tf.Tensor`.
+    A newly created list of `tf.Output`.
   Raises:
-    TypeError: if `ts` cannot be converted to a list of `tf.Tensor` or,
+    TypeError: if `ts` cannot be converted to a list of `tf.Output` or,
      if `check_graph` is `True`, if all the ops do not belong to the same graph.
   """
   if isinstance(ts, tf_ops.Graph):
@@ -287,11 +287,11 @@ def get_generating_ops(ts):
   """Return all the generating ops of the tensors in `ts`.
 
   Args:
-    ts: a list of `tf.Tensor`
+    ts: a list of `tf.Output`
   Returns:
     A list of all the generating `tf.Operation` of the tensors in `ts`.
   Raises:
-    TypeError: if `ts` cannot be converted to a list of `tf.Tensor`.
+    TypeError: if `ts` cannot be converted to a list of `tf.Output`.
   """
   ts = make_list_of_t(ts, allow_graph=False)
   return [t.op for t in ts]
@@ -301,11 +301,11 @@ def get_consuming_ops(ts):
   """Return all the consuming ops of the tensors in ts.
 
   Args:
-    ts: a list of `tf.Tensor`
+    ts: a list of `tf.Output`
   Returns:
     A list of all the consuming `tf.Operation` of the tensors in `ts`.
   Raises:
-    TypeError: if ts cannot be converted to a list of `tf.Tensor`.
+    TypeError: if ts cannot be converted to a list of `tf.Output`.
   """
   ts = make_list_of_t(ts, allow_graph=False)
   ops = []
@@ -434,14 +434,14 @@ def make_placeholder_from_tensor(t, scope=None):
   Note that the correct graph scope must be set by the calling function.
 
   Args:
-    t: a `tf.Tensor` whose name will be used to create the placeholder
+    t: a `tf.Output` whose name will be used to create the placeholder
       (see function placeholder_name).
     scope: absolute scope within which to create the placeholder. None
       means that the scope of `t` is preserved. `""` means the root scope.
   Returns:
     A newly created `tf.placeholder`.
   Raises:
-    TypeError: if `t` is not `None` or a `tf.Tensor`.
+    TypeError: if `t` is not `None` or a `tf.Output`.
   """
   return tf_array_ops.placeholder(
       dtype=t.dtype, shape=t.get_shape(), name=placeholder_name(