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运行完 supernet.py 后,如何进行模型加载校验(val)? #14
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感谢指出代码中的错误,如果还有任何问题,欢迎继续提问! |
好的,我会尽快更新代码并修正这个错误 |
上述问题已修正,并提供了log和checkpoint,可以再试试。 |
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首先感谢您的复现
我运行完 supernet.py 后,并不知道最佳的 choice 是哪一个,请问哪里可以知道最后超网的 choice?
然后如何加载模型进行校验,我尝试运行 random_search.py,默认加载 supernet.py 产出的模型,会报错
我理解 choice_model.py 为固定一个 choice 进行训练,和 supernet.py, random_search.py 三者有何不同?
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