forked from 626_privacy/tensorflow_privacy
c0e05f6cad
As is, this will be printed on every python execution which imports tf_privacy where this module is not available (including transitive dependencies, i.e. via tf_federated). The warning is not actionable for users and so is strictly noise. Worse, because this uses print() rather than logging, this is often the last line of output when running unit tests. It's easy to mistakenly think that a unit test failure was caused by this warning. This change removes the log statement entirely, since it is noisy and not actionable. PiperOrigin-RevId: 274198105
57 lines
2.5 KiB
Python
57 lines
2.5 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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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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# 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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try:
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from privacy.bolt_on.models import BoltOnModel
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from privacy.bolt_on.optimizers import BoltOn
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from privacy.bolt_on.losses import StrongConvexMixin
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from privacy.bolt_on.losses import StrongConvexBinaryCrossentropy
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from 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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