NAS-sharing-parameters support 3 datasets / update ops / update pypi
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exps/NAS-Bench-102/dist-setup.py
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28
exps/NAS-Bench-102/dist-setup.py
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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_102",
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version = "1.0",
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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-102 (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-Projects",
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packages=['nas_102_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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##################################################
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# NAS-Bench-102 ##################################
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##################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019 #
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##################################################
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###############################################################
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# NAS-Bench-102, ICLR 2020 (https://arxiv.org/abs/2001.00326) #
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###############################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019-2020 #
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###############################################################
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import os, sys, time, torch, random, argparse
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from PIL import ImageFile
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ImageFile.LOAD_TRUNCATED_IMAGES = True
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