forked from 626_privacy/tensorflow_privacy
d5dcfec745
set_denominator was added so that the batch size doesn't need to be specified before constructing the optimizer, but it breaks the DPQuery abstraction. Now the optimizer uses a GaussianSumQuery instead of GaussianAverageQuery, and normalization by batch size is done inside the optimizer. Also instead of creating all DPQueries with a PrivacyLedger and then wrapping with QueryWithLedger, it is now sufficient to create the queries with no ledger and QueryWithLedger will construct the ledger and pass it to all inner queries. PiperOrigin-RevId: 251462353
43 lines
2 KiB
Python
43 lines
2 KiB
Python
# Copyright 2019, 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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import sys
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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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from privacy.analysis.privacy_ledger import GaussianSumQueryEntry
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from privacy.analysis.privacy_ledger import PrivacyLedger
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from privacy.analysis.privacy_ledger import QueryWithLedger
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from privacy.analysis.privacy_ledger import SampleEntry
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from privacy.dp_query.dp_query import DPQuery
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from privacy.dp_query.gaussian_query import GaussianAverageQuery
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from privacy.dp_query.gaussian_query import GaussianSumQuery
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from privacy.dp_query.nested_query import NestedQuery
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from privacy.dp_query.no_privacy_query import NoPrivacyAverageQuery
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from privacy.dp_query.no_privacy_query import NoPrivacySumQuery
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from privacy.dp_query.normalized_query import NormalizedQuery
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from privacy.dp_query.quantile_adaptive_clip_sum_query import QuantileAdaptiveClipSumQuery
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from privacy.dp_query.quantile_adaptive_clip_sum_query import QuantileAdaptiveClipAverageQuery
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from privacy.optimizers.dp_optimizer import DPAdagradGaussianOptimizer
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from privacy.optimizers.dp_optimizer import DPAdagradOptimizer
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from privacy.optimizers.dp_optimizer import DPAdamGaussianOptimizer
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from privacy.optimizers.dp_optimizer import DPAdamOptimizer
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from privacy.optimizers.dp_optimizer import DPGradientDescentGaussianOptimizer
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from privacy.optimizers.dp_optimizer import DPGradientDescentOptimizer
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