eaf9fbf969
(1) Hide documentation for superclass methods in DPModel. (2) Make compute_dp_sgd_privacy visible. PiperOrigin-RevId: 377553548
96 lines
5.6 KiB
Python
96 lines
5.6 KiB
Python
# Copyright 2020, The TensorFlow Privacy Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""TensorFlow Privacy library."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import sys
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from tensorflow_privacy.version import __version__ # pylint: disable=g-bad-import-order
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# pylint: disable=g-import-not-at-top
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if hasattr(sys, 'skip_tf_privacy_import'): # Useful for standalone scripts.
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pass
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else:
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# Analysis
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from tensorflow_privacy.privacy.analysis.compute_dp_sgd_privacy_lib import compute_dp_sgd_privacy
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from tensorflow_privacy.privacy.analysis.privacy_ledger import GaussianSumQueryEntry
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from tensorflow_privacy.privacy.analysis.privacy_ledger import PrivacyLedger
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from tensorflow_privacy.privacy.analysis.privacy_ledger import QueryWithLedger
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from tensorflow_privacy.privacy.analysis.privacy_ledger import SampleEntry
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from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_heterogenous_rdp
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from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp
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from tensorflow_privacy.privacy.analysis.rdp_accountant import compute_rdp_from_ledger
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from tensorflow_privacy.privacy.analysis.rdp_accountant import get_privacy_spent
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# DPQuery classes
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from tensorflow_privacy.privacy.dp_query.dp_query import DPQuery
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from tensorflow_privacy.privacy.dp_query.dp_query import SumAggregationDPQuery
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from tensorflow_privacy.privacy.dp_query.gaussian_query import GaussianSumQuery
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from tensorflow_privacy.privacy.dp_query.nested_query import NestedQuery
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from tensorflow_privacy.privacy.dp_query.no_privacy_query import NoPrivacyAverageQuery
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from tensorflow_privacy.privacy.dp_query.no_privacy_query import NoPrivacySumQuery
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from tensorflow_privacy.privacy.dp_query.normalized_query import NormalizedQuery
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from tensorflow_privacy.privacy.dp_query.quantile_estimator_query import QuantileEstimatorQuery
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from tensorflow_privacy.privacy.dp_query.quantile_estimator_query import NoPrivacyQuantileEstimatorQuery
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from tensorflow_privacy.privacy.dp_query.quantile_adaptive_clip_sum_query import QuantileAdaptiveClipSumQuery
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from tensorflow_privacy.privacy.dp_query import tree_aggregation
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from tensorflow_privacy.privacy.dp_query.tree_aggregation_query import TreeCumulativeSumQuery
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from tensorflow_privacy.privacy.dp_query.tree_aggregation_query import TreeResidualSumQuery
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# Estimators
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from tensorflow_privacy.privacy.estimators.dnn import DNNClassifier
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from tensorflow_privacy.privacy.estimators.v1.dnn import DNNClassifier as DNNClassifierV1
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# Keras Models
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from tensorflow_privacy.privacy.keras_models.dp_keras_model import DPModel
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from tensorflow_privacy.privacy.keras_models.dp_keras_model import DPSequential
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from tensorflow_privacy.privacy.keras_models.dp_keras_model import make_dp_model_class
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# Optimizers
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPAdagradGaussianOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPAdagradOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPAdamGaussianOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPAdamOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPGradientDescentGaussianOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import DPGradientDescentOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer import make_optimizer_class
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras import DPKerasAdagradOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras import DPKerasAdamOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras import DPKerasSGDOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras import make_keras_optimizer_class
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import VectorizedDPKerasAdagradOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import VectorizedDPKerasAdamOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import VectorizedDPKerasSGDOptimizer
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_keras_vectorized import make_vectorized_keras_optimizer_class
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_vectorized import VectorizedDPAdagrad
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_vectorized import VectorizedDPAdam
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_vectorized import VectorizedDPSGD
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from tensorflow_privacy.privacy.optimizers.dp_optimizer_vectorized import make_vectorized_optimizer_class
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try:
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from tensorflow_privacy.privacy.bolt_on.models import BoltOnModel
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from tensorflow_privacy.privacy.bolt_on.optimizers import BoltOn
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from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
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from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexBinaryCrossentropy
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from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexHuber
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except ImportError:
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# module `bolt_on` not yet available in this version of TF Privacy
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pass
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