626_privacy/tensorflow_privacy
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Remove unneeded tensorflow-privacy dependencies.

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Please note:
1. I have manually tested the TFP release for python 3.10.
2. TFP does not define the set of python version that it is compatible with.

This change should be followed up with the following changes:
* Define the set of python version that TFP is compatible with.
* Setup a Python package building test.
* Release TFP so that projects depending on TFP can support Python 3.11

PiperOrigin-RevId: 572297305
This commit is contained in:
Michael Reneer 2023-10-10 10:33:37 -07:00 committed by A. Unique TensorFlower
parent 0eea97f220
commit a9ea9ba4a0
4 changed files with 4 additions and 16 deletions
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8
README.md
View file

@ -31,14 +31,6 @@ better performance, it is also recommended to install TensorFlow with GPU
support (detailed instructions on how to do this are available in the TensorFlow support (detailed instructions on how to do this are available in the TensorFlow
installation documentation). installation documentation).
In addition to TensorFlow and its dependencies, other prerequisites are:
* `scipy` >= 0.17
* `mpmath` (for testing)
* `tensorflow_datasets` (for the RNN tutorial `lm_dpsgd_tutorial.py` only)
### Installing TensorFlow Privacy ### Installing TensorFlow Privacy
If you only want to use TensorFlow Privacy as a library, you can simply execute If you only want to use TensorFlow Privacy as a library, you can simply execute

1
requirements.txt
View file

@ -26,7 +26,6 @@ dm-tree==0.1.8
dp-accounting==0.4.3 dp-accounting==0.4.3
immutabledict~=2.2 immutabledict~=2.2
matplotlib~=3.3 matplotlib~=3.3
mpmath~=1.2
numpy~=1.21 numpy~=1.21
packaging~=22.0 packaging~=22.0
pandas~=1.4 pandas~=1.4

9
setup.py
View file

@ -13,15 +13,14 @@
# limitations under the License. # limitations under the License.
"""TensorFlow Privacy library setup file for pip.""" """TensorFlow Privacy library setup file for pip."""
from setuptools import find_packages import setuptools
from setuptools import setup
with open('tensorflow_privacy/version.py') as file: with open('tensorflow_privacy/version.py') as file:
globals_dict = {} globals_dict = {}
exec(file.read(), globals_dict) # pylint: disable=exec-used exec(file.read(), globals_dict) # pylint: disable=exec-used
VERSION = globals_dict['__version__'] VERSION = globals_dict['__version__']
setup( setuptools.setup(
name='tensorflow_privacy', name='tensorflow_privacy',
version=VERSION, version=VERSION,
url='https://github.com/tensorflow/privacy', url='https://github.com/tensorflow/privacy',
@ -36,15 +35,13 @@ setup(
'numpy~=1.21', 'numpy~=1.21',
'packaging~=22.0', 'packaging~=22.0',
'pandas~=1.4', 'pandas~=1.4',
'parameterized~=0.8',
'scikit-learn>=1.0,==1.*', 'scikit-learn>=1.0,==1.*',
'scipy~=1.9', 'scipy~=1.9',
'statsmodels~=0.13', 'statsmodels~=0.13',
'tensorflow-datasets~=4.5',
'tensorflow-estimator~=2.4', 'tensorflow-estimator~=2.4',
'tensorflow-probability~=0.22.0', 'tensorflow-probability~=0.22.0',
'tensorflow~=2.4', 'tensorflow~=2.4',
'tf-models-official~=2.13', 'tf-models-official~=2.13',
], ],
packages=find_packages(), packages=setuptools.find_packages(),
) )

2
tools/test_pip_package.sh
View file

@ -28,7 +28,7 @@ main() {
pip install --upgrade pip pip install --upgrade pip
pip --version pip --version
# Publish the pip package. # Test the pip package.
package="$(ls "dist/"*".whl" | head -n1)" package="$(ls "dist/"*".whl" | head -n1)"
pip install --upgrade "${package}" pip install --upgrade "${package}"
pip freeze pip freeze