Remove TensorFlow Privacy __future__ imports.

Note: Exclude changes to the research directory.
PiperOrigin-RevId: 424650953

tensorflow_privacy/__init__.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """TensorFlow Privacy library."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import sys
 
 from tensorflow_privacy.version import __version__  # pylint: disable=g-bad-import-order

tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy.py

@@ -28,10 +28,6 @@ Example:
 The output states that DP-SGD with these parameters satisfies (2.92, 1e-5)-DP.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
 

tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy_lib.py

@@ -14,10 +14,6 @@
 # ==============================================================================
 """Library for computing privacy values for DP-SGD."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import math
 
 from absl import app

tensorflow_privacy/privacy/analysis/compute_dp_sgd_privacy_test.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 # ==============================================================================
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import math
 
 from absl.testing import absltest

tensorflow_privacy/privacy/analysis/compute_noise_from_budget.py

@@ -30,10 +30,6 @@ The output states that DP-SGD with these parameters should
 use a noise multiplier of 1.12.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
 

tensorflow_privacy/privacy/analysis/compute_noise_from_budget_lib.py

@@ -14,10 +14,6 @@
 # ==============================================================================
 """Library for computing privacy values for DP-SGD."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import math
 
 from absl import app

tensorflow_privacy/privacy/analysis/compute_noise_from_budget_test.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 # ==============================================================================
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl.testing import absltest
 from absl.testing import parameterized
 

tensorflow_privacy/privacy/analysis/rdp_accountant.py

@@ -36,9 +36,6 @@ The example code would be:
    rdp += rdp_accountant.compute_rdp(q, sigma, T, orders)
   eps, _, opt_order = rdp_accountant.get_privacy_spent(rdp, target_delta=delta)
 """
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import math
 import sys

tensorflow_privacy/privacy/analysis/rdp_accountant_test.py

@@ -12,11 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for rdp_accountant.py."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import math
 import sys

tensorflow_privacy/privacy/analysis/tensor_buffer.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """A lightweight buffer for maintaining tensors."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow.compat.v1 as tf
 
 

tensorflow_privacy/privacy/analysis/tensor_buffer_eager_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for tensor_buffer in eager mode."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import tensorflow.compat.v1 as tf
 

tensorflow_privacy/privacy/analysis/tensor_buffer_graph_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for tensor_buffer in graph mode."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import tensorflow.compat.v1 as tf
 

tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py

@@ -57,9 +57,6 @@ appearance of a same sample. For `target_delta`, the estimated epsilon is:
     max_participation, min_separation, orders)
   eps = rdp_accountant.get_privacy_spent(orders, rdp, target_delta)[0]
 """
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import functools
 import math

tensorflow_privacy/privacy/analysis/tree_aggregation_accountant_test.py

@@ -12,11 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-"""Tests for rdp_accountant.py."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import tensorflow as tf

tensorflow_privacy/privacy/bolt_on/losses.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Loss functions for BoltOn method."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow.compat.v1 as tf
 from tensorflow.compat.v1.python.framework import ops as _ops
 from tensorflow.compat.v1.python.keras import losses

tensorflow_privacy/privacy/bolt_on/losses_test.py

@@ -11,15 +11,11 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Unit testing for losses."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 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.compat.v1 as tf
 from tensorflow.compat.v1.python.framework import test_util

tensorflow_privacy/privacy/bolt_on/models.py

@@ -13,9 +13,6 @@
 # limitations under the License.
 """BoltOn model for Bolt-on method of differentially private ML."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 import tensorflow.compat.v1 as tf
 from tensorflow.compat.v1.python.framework import ops as _ops
 from tensorflow.compat.v1.python.keras import optimizers

tensorflow_privacy/privacy/bolt_on/models_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Unit testing for models."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/bolt_on/optimizers.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """BoltOn Optimizer for Bolt-on method."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 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

tensorflow_privacy/privacy/bolt_on/optimizers_test.py

@@ -11,13 +11,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Unit testing for optimizers."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import unittest
+
 from absl.testing import parameterized
 import tensorflow.compat.v1 as tf
 from tensorflow.compat.v1.python import ops as _ops

tensorflow_privacy/privacy/dp_query/dp_query.py

@@ -41,10 +41,6 @@ samples. In the common situation where the privacy mechanism remains unchanged
 throughout the entire training process, the global state is usually None.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import abc
 import collections
 

tensorflow_privacy/privacy/dp_query/gaussian_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Implements DPQuery interface for Gaussian sum queries."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 import distutils
 

tensorflow_privacy/privacy/dp_query/gaussian_query_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for GaussianSumQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import numpy as np

tensorflow_privacy/privacy/dp_query/nested_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Implements DPQuery interface for queries over nested structures."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/dp_query/nested_query_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for NestedQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import collections
 

tensorflow_privacy/privacy/dp_query/no_privacy_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Implements DPQuery interface for no privacy average queries."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow.compat.v1 as tf
 
 from tensorflow_privacy.privacy.analysis import dp_event

tensorflow_privacy/privacy/dp_query/no_privacy_query_test.py

@@ -12,12 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Tests for NoPrivacyAverageQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl.testing import parameterized
 import tensorflow.compat.v1 as tf
 

tensorflow_privacy/privacy/dp_query/normalized_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Implements DPQuery interface for normalized queries."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/dp_query/normalized_query_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for NormalizedQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import tensorflow.compat.v1 as tf
 

tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """`DPQuery` for Gaussian sum queries with adaptive clipping."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for QuantileAdaptiveClipSumQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 

tensorflow_privacy/privacy/dp_query/quantile_estimator_query.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Implements DPQuery interface for quantile estimator."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/dp_query/quantile_estimator_query_test.py

@@ -12,12 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Tests for QuantileAdaptiveClipSumQuery."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl.testing import parameterized
 
 import numpy as np

tensorflow_privacy/privacy/dp_query/test_utils.py

@@ -16,10 +16,6 @@
 Utility methods for testing private queries.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 
 def run_query(query, records, global_state=None, weights=None):
   """Executes query on the given set of records as a single sample.

tensorflow_privacy/privacy/estimators/binary_class_head.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Binary class head for Estimator that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 from tensorflow.python.keras.utils import losses_utils  # pylint: disable=g-direct-tensorflow-import
 from tensorflow_estimator.python.estimator import model_fn

tensorflow_privacy/privacy/estimators/binary_class_head_test.py

@@ -11,13 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled binary class heads."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-# from absl.testing import parameterized
 import numpy as np
 import tensorflow as tf
 from tensorflow_privacy.privacy.estimators import binary_class_head

tensorflow_privacy/privacy/estimators/dnn.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Estimator heads that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 
 from tensorflow_privacy.privacy.estimators import head_utils

tensorflow_privacy/privacy/estimators/dnn_test.py

@@ -11,13 +11,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled DNNClassifier."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import functools
+
 from absl.testing import parameterized
 import tensorflow as tf
 from tensorflow_privacy.privacy.estimators import dnn

tensorflow_privacy/privacy/estimators/head_utils.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Estimator heads that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from tensorflow_privacy.privacy.estimators.binary_class_head import DPBinaryClassHead
 from tensorflow_privacy.privacy.estimators.multi_class_head import DPMultiClassHead
 

tensorflow_privacy/privacy/estimators/multi_class_head.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Multiclass head for Estimator that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 from tensorflow.python.keras.utils import losses_utils  # pylint: disable=g-direct-tensorflow-import
 from tensorflow_estimator.python.estimator import model_fn

tensorflow_privacy/privacy/estimators/multi_class_head_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled binary class heads."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import numpy as np
 import tensorflow as tf

tensorflow_privacy/privacy/estimators/multi_label_head.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Multiclass head for Estimator that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 from tensorflow.python.keras.utils import losses_utils  # pylint: disable=g-direct-tensorflow-import
 from tensorflow_estimator.python.estimator import model_fn

tensorflow_privacy/privacy/estimators/multi_label_head_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled binary class heads."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import numpy as np
 import tensorflow as tf

tensorflow_privacy/privacy/estimators/test_utils.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Helper functions for unit tests for DP-enabled Estimators."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import tensorflow as tf
 

tensorflow_privacy/privacy/estimators/v1/dnn_test.py

@@ -11,13 +11,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled DNNClassifier."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import functools
+
 from absl.testing import parameterized
 import tensorflow as tf
 from tensorflow_privacy.privacy.estimators import test_utils

tensorflow_privacy/privacy/estimators/v1/head.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Estimator v1 heads that allow integration with TF Privacy."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 
 from tensorflow.python.ops import lookup_ops  # pylint: disable=g-direct-tensorflow-import

tensorflow_privacy/privacy/estimators/v1/head_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP-enabled binary class heads."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 

tensorflow_privacy/privacy/keras_models/dp_keras_model_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for DP Keras Model."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 

tensorflow_privacy/privacy/optimizers/dp_optimizer.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Differentially private optimizers for TensorFlow."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import logging
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/optimizers/dp_optimizer_eager_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for differentially private optimizers."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import numpy as np

tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py

@@ -14,10 +14,6 @@
 # ==============================================================================
 """Differentially private version of Keras optimizer v2."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 
 from tensorflow_privacy.privacy.dp_query import gaussian_query

tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for dp_optimizer_keras.py."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import numpy as np

tensorflow_privacy/privacy/optimizers/dp_optimizer_keras_vectorized.py

@@ -14,10 +14,6 @@
 # ==============================================================================
 """Differentially private version of Keras optimizer v2."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow as tf
 
 from tensorflow_privacy.privacy.dp_query import gaussian_query

tensorflow_privacy/privacy/optimizers/dp_optimizer_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for differentially private optimizers."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import os
 

tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Vectorized differentially private optimizers for TensorFlow."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import logging
 
 import tensorflow.compat.v1 as tf

tensorflow_privacy/privacy/optimizers/dp_optimizer_vectorized_test.py

@@ -11,11 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""Tests for differentially private optimizers."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl.testing import parameterized
 import mock

tensorflow_privacy/v1/__init__.py

@@ -17,10 +17,6 @@ This module includes classes designed to be compatible with TF1, based on
 `tf.compat.v1.train.Optimizer` and `tf.estimator.Estimator`.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import sys
 
 # pylint: disable=g-import-not-at-top

tutorials/bolton_tutorial.py

@@ -12,9 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Tutorial for bolt_on module, the model and the optimizer."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+
 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

tutorials/lm_dpsgd_tutorial.py

@@ -30,15 +30,10 @@ using the exposure metric of https://arxiv.org/abs/1802.08232.
 This example is decribed in more details in this post: https://goo.gl/UKr7vH
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import os
 
 from absl import app
 from absl import flags
-
 import numpy as np
 import tensorflow.compat.v1 as tf
 import tensorflow_datasets as tfds

tutorials/mnist_dpsgd_tutorial.py

@@ -11,19 +11,13 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 """Train a CNN on MNIST with differentially private SGD optimizer."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import time
 
 from absl import app
 from absl import flags
 from absl import logging
-
 import tensorflow.compat.v1 as tf
 
 from tensorflow_privacy.privacy.analysis import compute_dp_sgd_privacy_lib

tutorials/mnist_dpsgd_tutorial_common.py

@@ -13,11 +13,6 @@
 # limitations under the License.
 """Common tools for DP-SGD MNIST tutorials."""
 
-# These are not necessary in a Python 3-only module.
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import tensorflow.compat.v1 as tf
 import tensorflow_datasets as tfds
 

tutorials/mnist_dpsgd_tutorial_eager.py

@@ -12,13 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Training a CNN on MNIST in TF Eager mode with DP-SGD optimizer."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 from absl import app
 from absl import flags
-
 import numpy as np
 import tensorflow.compat.v1 as tf
 

tutorials/mnist_dpsgd_tutorial_keras.py

@@ -13,10 +13,6 @@
 # limitations under the License.
 """Training a CNN on MNIST with Keras and the DP SGD optimizer."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
 from absl import logging

tutorials/mnist_dpsgd_tutorial_keras_model.py

@@ -13,14 +13,9 @@
 # limitations under the License.
 """Training a CNN on MNIST with Keras and the DP SGD optimizer."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
 from absl import logging
-
 import numpy as np
 import tensorflow as tf
 

tutorials/mnist_dpsgd_tutorial_tpu.py

@@ -11,20 +11,14 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 """Train a CNN on MNIST with DP-SGD optimizer on TPUs."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import math
 import time
 
 from absl import app
 from absl import flags
 from absl import logging
-
 import tensorflow.compat.v1 as tf
 
 from tensorflow_privacy.privacy.analysis import compute_dp_sgd_privacy_lib

tutorials/mnist_dpsgd_tutorial_vectorized.py

@@ -11,16 +11,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 """Training a CNN on MNIST with vectorized DP-SGD optimizer."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
-
 import numpy as np
 import tensorflow.compat.v1 as tf
 

tutorials/mnist_lr_tutorial.py

@@ -21,10 +21,6 @@ pp. 521-532. IEEE, 2018.
 https://arxiv.org/abs/1808.06651.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import math
 
 from absl import app

tutorials/movielens_tutorial.py

@@ -14,13 +14,8 @@
 # =============================================================================
 """Training a deep NN on MovieLens with differentially private Adam optimizer."""
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from absl import app
 from absl import flags
-
 import numpy as np
 import pandas as pd
 from scipy import stats

tutorials/walkthrough/mnist_scratch.py

@@ -11,12 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
-
 """Scratchpad for training a CNN on MNIST with DPSGD."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import numpy as np
 import tensorflow.compat.v1 as tf