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Explicitly replace "import tensorflow" with "tensorflow.compat.v1"

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PiperOrigin-RevId: 290355582
This commit is contained in:
Yanhua Sun 2020-01-17 15:39:43 -08:00 committed by Steve Chien
parent a8a2d91795
commit 856eda3aa1
33 changed files with 60 additions and 60 deletions
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2
tensorflow_privacy/privacy/analysis/privacy_ledger.py
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@ -20,7 +20,7 @@ from __future__ import print_function
import collections
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import tensor_buffer
from tensorflow_privacy.privacy.dp_query import dp_query

2
tensorflow_privacy/privacy/analysis/privacy_ledger_test.py
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@ -18,7 +18,7 @@ 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.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query

2
tensorflow_privacy/privacy/analysis/tensor_buffer.py
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@ -17,7 +17,7 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import tensorflow.compat.v1 as tf
class TensorBuffer(object):

2
tensorflow_privacy/privacy/analysis/tensor_buffer_test_eager.py
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@ -17,7 +17,7 @@ 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.analysis import tensor_buffer

2
tensorflow_privacy/privacy/analysis/tensor_buffer_test_graph.py
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@ -17,7 +17,7 @@ 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.analysis import tensor_buffer

2
tensorflow_privacy/privacy/bolt_on/__init__.py
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@ -14,7 +14,7 @@
"""BoltOn Method for privacy."""
import sys
from distutils.version import LooseVersion
import tensorflow as tf
import tensorflow.compat.v1 as tf
if LooseVersion(tf.__version__) < LooseVersion("2.0.0"):
raise ImportError("Please upgrade your version "

12
tensorflow_privacy/privacy/bolt_on/losses.py
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@ -17,12 +17,12 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.framework import ops as _ops
from tensorflow.python.keras import losses
from tensorflow.python.keras.regularizers import L1L2
from tensorflow.python.keras.utils import losses_utils
from tensorflow.python.platform import tf_logging as logging
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python.framework import ops as _ops
from tensorflow.compat.v1.python.keras import losses
from tensorflow.compat.v1.python.keras.regularizers import L1L2
from tensorflow.compat.v1.python.keras.utils import losses_utils
from tensorflow.compat.v1.python.platform import tf_logging as logging
class StrongConvexMixin: # pylint: disable=old-style-class

8
tensorflow_privacy/privacy/bolt_on/losses_test.py
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@ -21,10 +21,10 @@ from contextlib import contextmanager # pylint: disable=g-importing-member
from io import StringIO # pylint: disable=g-importing-member
import sys
from absl.testing import parameterized
import tensorflow as tf
from tensorflow.python.framework import test_util
from tensorflow.python.keras import keras_parameterized
from tensorflow.python.keras.regularizers import L1L2
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python.framework import test_util
from tensorflow.compat.v1.python.keras import keras_parameterized
from tensorflow.compat.v1.python.keras.regularizers import L1L2
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexBinaryCrossentropy
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexHuber
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin

8
tensorflow_privacy/privacy/bolt_on/models.py
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@ -16,10 +16,10 @@
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.framework import ops as _ops
from tensorflow.python.keras import optimizers
from tensorflow.python.keras.models import Model
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python.framework import ops as _ops
from tensorflow.compat.v1.python.keras import optimizers
from tensorflow.compat.v1.python.keras.models import Model
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
from tensorflow_privacy.privacy.bolt_on.optimizers import BoltOn

12
tensorflow_privacy/privacy/bolt_on/models_test.py
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@ -18,12 +18,12 @@ from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import tensorflow as tf
from tensorflow.python.framework import ops as _ops
from tensorflow.python.keras import keras_parameterized
from tensorflow.python.keras import losses
from tensorflow.python.keras.optimizer_v2.optimizer_v2 import OptimizerV2
from tensorflow.python.keras.regularizers import L1L2
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python.framework import ops as _ops
from tensorflow.compat.v1.python.keras import keras_parameterized
from tensorflow.compat.v1.python.keras import losses
from tensorflow.compat.v1.python.keras.optimizer_v2.optimizer_v2 import OptimizerV2
from tensorflow.compat.v1.python.keras.regularizers import L1L2
from tensorflow_privacy.privacy.bolt_on import models
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
from tensorflow_privacy.privacy.bolt_on.optimizers import BoltOn

6
tensorflow_privacy/privacy/bolt_on/optimizers.py
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@ -17,9 +17,9 @@ from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.keras.optimizer_v2 import optimizer_v2
from tensorflow.python.ops import math_ops
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python.keras.optimizer_v2 import optimizer_v2
from tensorflow.compat.v1.python.ops import math_ops
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
_accepted_distributions = ['laplace'] # implemented distributions for noising

20
tensorflow_privacy/privacy/bolt_on/optimizers_test.py
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@ -19,16 +19,16 @@ from __future__ import print_function
import unittest
from absl.testing import parameterized
import tensorflow as tf
from tensorflow.python import ops as _ops
from tensorflow.python.framework import test_util
from tensorflow.python.keras import keras_parameterized
from tensorflow.python.keras import losses
from tensorflow.python.keras.initializers import constant
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.optimizer_v2.optimizer_v2 import OptimizerV2
from tensorflow.python.keras.regularizers import L1L2
from tensorflow.python.platform import test
import tensorflow.compat.v1 as tf
from tensorflow.compat.v1.python import ops as _ops
from tensorflow.compat.v1.python.framework import test_util
from tensorflow.compat.v1.python.keras import keras_parameterized
from tensorflow.compat.v1.python.keras import losses
from tensorflow.compat.v1.python.keras.initializers import constant
from tensorflow.compat.v1.python.keras.models import Model
from tensorflow.compat.v1.python.keras.optimizer_v2.optimizer_v2 import OptimizerV2
from tensorflow.compat.v1.python.keras.regularizers import L1L2
from tensorflow.compat.v1.python.platform import test
from tensorflow_privacy.privacy.bolt_on import optimizers as opt
from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin

2
tensorflow_privacy/privacy/dp_query/dp_query.py
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@ -48,7 +48,7 @@ from __future__ import print_function
import abc
import tensorflow as tf
import tensorflow.compat.v1 as tf
class DPQuery(object):

2
tensorflow_privacy/privacy/dp_query/gaussian_query.py
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@ -22,7 +22,7 @@ from __future__ import print_function
import collections
from distutils.version import LooseVersion
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import dp_query
from tensorflow_privacy.privacy.dp_query import normalized_query

2
tensorflow_privacy/privacy/dp_query/gaussian_query_test.py
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@ -21,7 +21,7 @@ from __future__ import print_function
from absl.testing import parameterized
import numpy as np
from six.moves import xrange
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import gaussian_query
from tensorflow_privacy.privacy.dp_query import test_utils

2
tensorflow_privacy/privacy/dp_query/nested_query_test.py
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@ -21,7 +21,7 @@ from __future__ import print_function
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import gaussian_query
from tensorflow_privacy.privacy.dp_query import nested_query

2
tensorflow_privacy/privacy/dp_query/no_privacy_query.py
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@ -17,7 +17,7 @@ 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

2
tensorflow_privacy/privacy/dp_query/no_privacy_query_test.py
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@ -19,7 +19,7 @@ from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import no_privacy_query
from tensorflow_privacy.privacy.dp_query import test_utils

2
tensorflow_privacy/privacy/dp_query/normalized_query.py
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@ -21,7 +21,7 @@ from __future__ import print_function
import collections
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import dp_query

2
tensorflow_privacy/privacy/dp_query/normalized_query_test.py
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@ -18,7 +18,7 @@ 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 gaussian_query
from tensorflow_privacy.privacy.dp_query import normalized_query

2
tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py
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@ -27,7 +27,7 @@ from __future__ import print_function
import collections
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.dp_query import dp_query
from tensorflow_privacy.privacy.dp_query import gaussian_query

2
tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query_test.py
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@ -21,7 +21,7 @@ from __future__ import print_function
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import quantile_adaptive_clip_sum_query

2
tensorflow_privacy/privacy/optimizers/dp_optimizer.py
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@ -19,7 +19,7 @@ from __future__ import print_function
from absl import logging
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query

2
tensorflow_privacy/privacy/optimizers/dp_optimizer_eager_test.py
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@ -19,7 +19,7 @@ from __future__ import print_function
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query

2
tensorflow_privacy/privacy/optimizers/dp_optimizer_test.py
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@ -20,7 +20,7 @@ from __future__ import print_function
from absl.testing import parameterized
import mock
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.dp_query import gaussian_query

2
tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized.py
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@ -19,7 +19,7 @@ from __future__ import print_function
from absl import logging
import tensorflow as tf
import tensorflow.compat.v1 as tf
AdagradOptimizer = tf.compat.v1.train.AdagradOptimizer
AdamOptimizer = tf.compat.v1.train.AdamOptimizer

2
tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized_test.py
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@ -20,7 +20,7 @@ from __future__ import print_function
from absl.testing import parameterized
import mock
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.optimizers import dp_optimizer_vectorized
from tensorflow_privacy.privacy.optimizers.dp_optimizer_vectorized import VectorizedDPAdagrad

2
tutorials/bolton_tutorial.py
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@ -15,7 +15,7 @@
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf # pylint: disable=wrong-import-position
import tensorflow.compat.v1 as tf # pylint: disable=wrong-import-position
from tensorflow_privacy.privacy.bolt_on import losses # pylint: disable=wrong-import-position
from tensorflow_privacy.privacy.bolt_on import models # pylint: disable=wrong-import-position
from tensorflow_privacy.privacy.bolt_on.optimizers import BoltOn # pylint: disable=wrong-import-position

2
tutorials/lm_dpsgd_tutorial.py
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@ -41,7 +41,7 @@ from absl import app
from absl import flags
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
import tensorflow_datasets as tfds
from tensorflow_privacy.privacy.analysis import privacy_ledger

2
tutorials/mnist_dpsgd_tutorial.py
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@ -22,7 +22,7 @@ from absl import app
from absl import flags
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1 as tf
from tensorflow_privacy.privacy.analysis import privacy_ledger
from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp_from_ledger

2
tutorials/mnist_dpsgd_tutorial_eager.py
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@ -20,7 +20,7 @@ from absl import app
from absl import flags
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

2
tutorials/mnist_dpsgd_tutorial_keras.py
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@ -22,7 +22,7 @@ from absl import flags
from absl import logging
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

2
tutorials/mnist_dpsgd_tutorial_vectorized.py
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@ -22,7 +22,7 @@ from absl import app
from absl import flags
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