6effb6f127
we use an abstract class NASBenchMetaAPI to define the spec of an API; it can be inherited to support different kinds of NAS API, while keep the query interface the same.
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019.08 #
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#####################################################
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# [2020.02.25] Initialize the API as v1.1
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# [2020.03.09] Upgrade the API to v1.2
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# [2020.03.16] Upgrade the API to v1.3
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# [2020.06.30] Upgrade the API to v2.0
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import os
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from setuptools import setup
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def read(fname='README.md'):
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with open(os.path.join(os.path.dirname(__file__), fname), encoding='utf-8') as cfile:
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return cfile.read()
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setup(
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name = "nas_bench_201",
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version = "2.0",
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author = "Xuanyi Dong",
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author_email = "dongxuanyi888@gmail.com",
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description = "API for NAS-Bench-201 (a benchmark for neural architecture search).",
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license = "MIT",
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keywords = "NAS Dataset API DeepLearning",
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url = "https://github.com/D-X-Y/NAS-Bench-201",
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packages=['nas_201_api'],
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long_description=read('README.md'),
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long_description_content_type='text/markdown',
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classifiers=[
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"Programming Language :: Python",
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"Topic :: Database",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: MIT License",
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],
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)
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