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The implementation of GOLD_NAS

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您好,我在阅读论文的过程中发现论文中的搜索到的模型效果图中第一个cell都是只与s0有关系的,不应该是s0和s1吗

Hi!Thanks for your code. I noticed that the 'auxiliary' augment is set to be true by default in train_search.py. That seems to be different from GOLD-NAS paper.

Hi~ Thanks for your implementation of GOLD NAS. Can you share your final top1 acc results under different constraint?