forked from facebookresearch/mmf
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
162 lines (135 loc) · 5.09 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
157
158
159
160
161
162
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import codecs
import os
import platform
import re
from glob import glob
import setuptools
from setuptools import Extension
from setuptools.command.build_ext import build_ext
def clean_html(raw_html):
cleanr = re.compile("<.*?>")
cleantext = re.sub(cleanr, "", raw_html).strip()
return cleantext
# Single sourcing code from here:
# https://packaging.python.org/guides/single-sourcing-package-version/
def find_version(*file_paths):
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
with codecs.open(os.path.join(here, *parts), "r") as fp:
return fp.read()
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
def fetch_long_description():
with open("README.md", encoding="utf8") as f:
readme = f.read()
# https://stackoverflow.com/a/12982689
readme = clean_html(readme)
return readme
def fetch_requirements():
requirements_file = "requirements.txt"
if platform.system() == "Windows":
DEPENDENCY_LINKS.append("https://download.pytorch.org/whl/torch_stable.html")
with open(requirements_file) as f:
reqs = f.read()
reqs = reqs.strip().split("\n")
reqs = remove_specific_requirements(reqs)
return reqs
def remove_specific_requirements(reqs):
rtd = "READTHEDOCS" in os.environ
excluded = {"fasttext": rtd}
updated_reqs = []
for req in reqs:
without_version = req.split("==")[0]
if not excluded.get(without_version, False):
updated_reqs.append(req)
return updated_reqs
def fetch_files_from_folder(folder):
options = glob(f"{folder}/**", recursive=True)
data_files = []
# All files inside the folder need to be added to package_data
# which would include yaml configs as well as project READMEs
for option in options:
if os.path.isdir(option):
files = []
for f in glob(os.path.join(option, "*")):
if os.path.isfile(f):
files.append(f)
data_files += files
return data_files
def fetch_package_data():
current_dir = os.getcwd()
mmf_folder = os.path.dirname(os.path.abspath(__file__))
# The files for package data need to be relative to mmf package dir
os.chdir(os.path.join(mmf_folder, "mmf"))
data_files = fetch_files_from_folder("projects")
data_files += fetch_files_from_folder("tools")
data_files += fetch_files_from_folder("configs")
data_files += glob(os.path.join("utils", "phoc", "cphoc.*"))
os.chdir(current_dir)
return data_files
DISTNAME = "mmf"
DESCRIPTION = "mmf: a modular framework for vision and language multimodal \
research."
LONG_DESCRIPTION = fetch_long_description()
LONG_DESCRIPTION_CONTENT_TYPE = "text/markdown"
AUTHOR = "Facebook AI Research"
AUTHOR_EMAIL = "mmf@fb.com"
DEPENDENCY_LINKS = []
REQUIREMENTS = (fetch_requirements(),)
# Need to exclude folders in tests as well so as they don't create an extra package
# If something from tools is regularly used consider converting it into a cli command
EXCLUDES = ("data", "docs", "tests", "tests.*", "tools", "tools.*")
CMD_CLASS = {"build_ext": build_ext}
EXT_MODULES = [
Extension(
"mmf.utils.phoc.cphoc", sources=["mmf/utils/phoc/src/cphoc.c"], language="c"
)
]
if "READTHEDOCS" in os.environ:
# Don't build extensions when generating docs
EXT_MODULES = []
CMD_CLASS.pop("build_ext", None)
# use CPU build of PyTorch
DEPENDENCY_LINKS.append(
"https://download.pytorch.org/whl/cpu/torch-1.5.0%2B"
+ "cpu-cp36-cp36m-linux_x86_64.whl"
)
if __name__ == "__main__":
setuptools.setup(
name=DISTNAME,
install_requires=REQUIREMENTS,
include_package_data=True,
package_data={"mmf": fetch_package_data()},
packages=setuptools.find_packages(exclude=EXCLUDES),
python_requires=">=3.6",
ext_modules=EXT_MODULES,
cmdclass=CMD_CLASS,
version=find_version("mmf", "version.py"),
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type=LONG_DESCRIPTION_CONTENT_TYPE,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
dependency_links=DEPENDENCY_LINKS,
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"License :: OSI Approved :: BSD License",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Operating System :: OS Independent",
],
entry_points={
"console_scripts": [
"mmf_run = mmf_cli.run:run",
"mmf_predict = mmf_cli.predict:predict",
"mmf_convert_hm = mmf_cli.hm_convert:main",
"mmf_interactive = mmf_cli.interactive:interactive",
]
},
)