ProxylessNAS pytorch
【摘要】 原文:https://github.com/mit-han-lab/ProxylessNAS/blob/master/proxyless_nas/model_zoo.py
proxyless_gpu
1070 416 8 36ms batch_size最高为20
proxyless_mobile_14
1070 416 8 51ms
import t...
原文:https://github.com/mit-han-lab/ProxylessNAS/blob/master/proxyless_nas/model_zoo.py
proxyless_gpu
1070 416 8 36ms batch_size最高为20
proxyless_mobile_14
1070 416 8 51ms
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import time
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from collections import OrderedDict
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import math
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import torch.nn as nn
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import torch.optim
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import os
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import sys
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from functools import partial
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import json
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import torch
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try:
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from urllib import urlretrieve
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except ImportError:
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from urllib.request import urlretrieve
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def download_url(url, model_dir="~/.torch/proxyless_nas", overwrite=False):
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model_dir = os.path.expanduser(model_dir)
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filename = url.split('/')[-1]
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cached_file = os.path.join(model_dir, filename)
文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/94720159
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