37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
#####################################################
|
|
# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019.08 #
|
|
#####################################################
|
|
# [2020.02.25] Initialize the API as v1.1
|
|
# [2020.03.09] Upgrade the API to v1.2
|
|
# [2020.03.16] Upgrade the API to v1.3
|
|
# [2020.06.30] Upgrade the API to v2.0
|
|
# [2020.10.12] Upgrade the API to v2.1 -- deprecate this repo, switch to NATS-Bench.
|
|
import os
|
|
from setuptools import setup
|
|
|
|
|
|
def read(fname='README.md'):
|
|
with open(os.path.join(os.path.dirname(__file__), fname), encoding='utf-8') as cfile:
|
|
return cfile.read()
|
|
|
|
|
|
setup(
|
|
name = "nas_bench_201",
|
|
version = "2.1",
|
|
author = "Xuanyi Dong",
|
|
author_email = "dongxuanyi888@gmail.com",
|
|
description = "API for NAS-Bench-201 (a benchmark for neural architecture search).",
|
|
license = "MIT",
|
|
keywords = "NAS Dataset API DeepLearning",
|
|
url = "https://github.com/D-X-Y/NAS-Bench-201",
|
|
packages=['nas_201_api'],
|
|
long_description=read('README.md'),
|
|
long_description_content_type='text/markdown',
|
|
classifiers=[
|
|
"Programming Language :: Python",
|
|
"Topic :: Database",
|
|
"Topic :: Scientific/Engineering :: Artificial Intelligence",
|
|
"License :: OSI Approved :: MIT License",
|
|
],
|
|
)
|