Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

PiperOrigin-RevId: 297199727

research/pate_2017/analysis.py

@@ -42,7 +42,7 @@ import os
 import math
 import numpy as np
 from six.moves import xrange
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 import maybe_download
 

research/pate_2017/deep_cnn.py

@@ -21,7 +21,7 @@ from datetime import datetime
 import math
 import numpy as np
 from six.moves import xrange
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 import time
 
 import utils

research/pate_2017/input.py

@@ -28,7 +28,7 @@ from scipy.io import loadmat as loadmat
 from six.moves import cPickle as pickle
 from six.moves import urllib
 from six.moves import xrange
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 FLAGS = tf.flags.FLAGS
 

research/pate_2017/train_student.py

@@ -22,7 +22,7 @@ import input  # pylint: disable=redefined-builtin
 import metrics
 import numpy as np
 from six.moves import xrange
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 FLAGS = tf.flags.FLAGS
 

research/pate_2017/train_teachers.py

@@ -19,7 +19,7 @@ from __future__ import print_function
 import deep_cnn
 import input  # pylint: disable=redefined-builtin
 import metrics
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 
 tf.flags.DEFINE_string('dataset', 'svhn', 'The name of the dataset to use')

tensorflow_privacy/privacy/dp_query/nested_query.py

@@ -19,7 +19,7 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 from tensorflow_privacy.privacy.dp_query import dp_query
 import tree
 

tutorials/mnist_lr_tutorial.py

@@ -33,7 +33,7 @@ from absl import flags
 from distutils.version import LooseVersion
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
 from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent

tutorials/walkthrough/mnist_scratch.py

@@ -19,7 +19,7 @@ from __future__ import division
 from __future__ import print_function
 
 import numpy as np
-import tensorflow as tf
+import tensorflow.compat.v1 as tf
 
 tf.flags.DEFINE_float('learning_rate', .15, 'Learning rate for training')
 tf.flags.DEFINE_integer('batch_size', 256, 'Batch size')