forked from tensorflow/tfx
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
156 lines (135 loc) · 5.38 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Package Setup script for TFX."""
from __future__ import print_function
import glob
import os
import subprocess
import sys
from distutils.spawn import find_executable
from setuptools import find_packages
from setuptools import setup
# Find the Protocol Compiler.
if 'PROTOC' in os.environ and os.path.exists(os.environ['PROTOC']):
protoc = os.environ['PROTOC']
elif os.path.exists('../src/protoc'):
protoc = '../src/protoc'
elif os.path.exists('../src/protoc.exe'):
protoc = '../src/protoc.exe'
elif os.path.exists('../vsprojects/Debug/protoc.exe'):
protoc = '../vsprojects/Debug/protoc.exe'
elif os.path.exists('../vsprojects/Release/protoc.exe'):
protoc = '../vsprojects/Release/protoc.exe'
else:
protoc = find_executable('protoc')
def generate_proto(source):
"""Invokes the Protocol Compiler to generate a _pb2.py."""
output = source.replace('.proto', '_pb2.py')
if (not os.path.exists(output) or
(os.path.exists(source) and
os.path.getmtime(source) > os.path.getmtime(output))):
print('Generating %s...' % output)
if not os.path.exists(source):
sys.stderr.write('Cannot find required file: %s\n' % source)
sys.exit(-1)
if protoc is None:
sys.stderr.write(
'protoc is not installed nor found in ../src. Please compile it '
'or install the binary package.\n')
sys.exit(-1)
protoc_command = [protoc, '-I.', '--python_out=.', source]
if subprocess.call(protoc_command) != 0:
sys.exit(-1)
for proto_file in glob.glob('tfx/proto/*.proto'):
generate_proto(proto_file)
def _make_required_install_packages():
# Make sure to sync the versions of common dependencies (absl-py, numpy,
# six, and protobuf) with TF.
return [
'absl-py>=0.1.6,<1',
'apache-beam[gcp]>=2.11,<3',
'google-api-python-client>=1.7.8,<2',
'ml-metadata>=0.13.2,<0.14',
'protobuf>=3.7,<4',
'six>=1.10,<2',
'tensorflow-data-validation>=0.13.1,<0.14',
'tensorflow-model-analysis>=0.13,<0.14',
'tensorflow-transform>=0.13,<0.14',
]
def _make_required_test_packages():
# Packages needed for 'python setup.py test': They are generally wider than
# install packages.
return [
'apache-airflow>=1.10,<2',
'docker>=3.7,<4',
'kfp>=0.1,<=0.1.11',
'tensorflow>=1.13,<2',
]
# Get version from version module.
with open('tfx/version.py') as fp:
globals_dict = {}
exec(fp.read(), globals_dict) # pylint: disable=exec-used
__version__ = globals_dict['__version__']
# TODO(b/121329572): Remove the following comment after we can guarantee the
# required versions of packages through kokoro release workflow.
# Note: In order for the README to be rendered correctly, make sure to have the
# following minimum required versions of the respective packages when building
# and uploading the zip/wheel package to PyPI:
# setuptools >= 38.6.0, wheel >= 0.31.0, twine >= 1.11.0
# Get the long description from the README file.
with open('README.md') as fp:
_LONG_DESCRIPTION = fp.read()
setup(
name='tfx',
version=__version__,
author='Google LLC',
author_email='[email protected]',
license='Apache 2.0',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
# 'Programming Language :: Python :: 3.6',
# 'Programming Language :: Python :: 3.7',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
namespace_packages=[],
install_requires=_make_required_install_packages(),
extras_require={
'test': _make_required_test_packages(),
},
python_requires='>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,<4',
packages=find_packages(),
include_package_data=True,
# TODO(b/124941876): Update with proper description.
description='TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google',
long_description=_LONG_DESCRIPTION,
long_description_content_type='text/markdown',
keywords='tensorflow tfx',
url='https://www.tensorflow.org/tfx',
download_url='https://github.com/tensorflow/tfx/tags',
requires=[])