forked from 626_privacy/tensorflow_privacy
29 lines
1.4 KiB
Python
29 lines
1.4 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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"""Bolton Method for privacy."""
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import sys
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from distutils.version import LooseVersion
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import tensorflow as tf
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if LooseVersion(tf.__version__) < LooseVersion("2.0.0"):
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raise ImportError("Please upgrade your version "
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"of tensorflow from: {0} to at least 2.0.0 to "
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"use privacy/bolton".format(LooseVersion(tf.__version__)))
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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.bolton.models import BoltonModel # pylint: disable=import-not-at-top
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from privacy.bolton.optimizers import Bolton # pylint: disable=import-not-at-top
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from privacy.bolton.losses import StrongConvexHuber # pylint: disable=import-not-at-top
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from privacy.bolton.losses import StrongConvexBinaryCrossentropy # pylint: disable=import-not-at-top
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