Enable type annotations for python/ops.

PiperOrigin-RevId: 317779660
Change-Id: Ife6b7319ef394b611798f5d01b64ebdb3c0a01cc

tensorflow/python/ops/logging_ops.py

@@ -54,11 +54,9 @@ except NameError:
 # call relies on certain conditionals for its dependencies.  Use
 # control_flow_ops.Assert.
 
-# Assert and Print are special symbols in python, so we must
-# have an upper-case version of them.
-#
-# For users with Python 3 or Python 2.7
-# with `from __future__ import print_function`, we could also allow lowercase.
+# Assert and Print are special symbols in Python 2, so we must
+# have an upper-case version of them. When support for it is dropped,
+# we can allow lowercase.
 # See https://github.com/tensorflow/tensorflow/issues/18053
 
 
@@ -83,11 +81,6 @@ def Print(input_, data, message=None, first_n=None, summarize=None, name=None):
     with jupyter notebook (printing to the notebook *server's* output, not into
     the notebook).
 
-  Additionally, to use tf.print in python 2.7, users must make sure to import
-  the following:
-
-  `from __future__ import print_function`
-
   Args:
     input_: A tensor passed through this op.
     data: A list of tensors to print out when op is evaluated.
@@ -148,11 +141,6 @@ def print_v2(*inputs, **kwargs):
   Python objects. Printed tensors will recursively show the first and last
   elements of each dimension to summarize.
 
-  @compatibility(python2)
-  In python 2.7, make sure to import the following:
-  `from __future__ import print_function`
-  @end_compatibility
-
   Example:
     Single-input usage: