forked from 626_privacy/tensorflow_privacy
bcc0d4927e
This CL also moves the common embedding `sqr_norm_fn` logic between `tf.keras.layers.Embedding` and `tfm.nlp.layers.OnDeviceEmbedding` into a new registry function utility file. PiperOrigin-RevId: 564481407
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
# Copyright 2018, The TensorFlow 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 setup file for pip."""
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from setuptools import find_packages
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from setuptools import setup
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with open('tensorflow_privacy/version.py') as file:
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globals_dict = {}
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exec(file.read(), globals_dict) # pylint: disable=exec-used
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VERSION = globals_dict['__version__']
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setup(
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name='tensorflow_privacy',
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version=VERSION,
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url='https://github.com/tensorflow/privacy',
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license='Apache-2.0',
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install_requires=[
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'absl-py>=1.0,==1.*',
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'attrs~=21.4',
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'dm-tree==0.1.8',
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'dp-accounting==0.4.2',
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'immutabledict~=2.2',
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'matplotlib~=3.3',
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'numpy~=1.21',
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'packaging~=22.0',
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'pandas~=1.4',
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'parameterized~=0.8',
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'scikit-learn>=1.0,==1.*',
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'scipy~=1.9',
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'statsmodels~=0.13',
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'tensorflow-datasets~=4.5',
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'tensorflow-estimator~=2.4',
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'tensorflow-probability~=0.20.0',
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'tensorflow~=2.4',
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'tf-models-official~=2.13',
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],
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packages=find_packages(),
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)
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