Comments (7)
yuhuixu1993
commented on July 18, 2024
@shuangjian24 , 你好，谢谢你的关注。
1、model_search 之后生成新的genotype 需要复制到genotype.py中，令PCDARTS=这个生成的genotype，之后再运行‘train.py’去evaluate这个网络结构。
2、这可能与skip有一点区别，skip是加这里是concate，可能与densenet中的dense连接有点像。
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shuangjian24
commented on July 18, 2024
@yuhuixu1993 那在跑train_search.py这个代码的时候，是不会进行实时的网络更新的吗，log文件记录的只是网络结构的可能性吗
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yuhuixu1993
commented on July 18, 2024
@shuangjian24 , 每个epoch都会输出当时的最优的genotye，应该是实时更新的吧（不大理解你说的意思）我们一般选取最后一个epoch作为最终搜索结果
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shuangjian24
commented on July 18, 2024
@yuhuixu1993 我本以为是这样的：当搜索出一个genotype后，会直接使用它，基于它进行再搜索。
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yuhuixu1993
commented on July 18, 2024
@shuangjian24 不是的，这种是one-shot搜索，只搜一次就用了，你那种可能类似于进化算法？
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shuangjian24
commented on July 18, 2024
@yuhuixu1993 谢谢你的耐心解释，我懂了，谢谢
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yuhuixu1993
commented on July 18, 2024
@shuangjian24 ，thanks for your interest!
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Related Issues (20)
- Is a channel sampling mask fixed? HOT 3
- Is there any plan to release the pretrained imagenet model? HOT 1
- Why modifying architecture after epoch 15
- Data preparation of ImageNet
- How to change the channel proportion K? HOT 2
- Cannot re-implement your claimed result HOT 3
- GPU Utilization is Bad HOT 1
- We cannot obtain your claimed result on ImageNet after trying many configurations HOT 4
- Question about search on custom dataset HOT 5
- test.py运行报错
- Understanding the two sets of the architecture hyperparameter HOT 2
- how you report the final accuracy in evaluation? Possibly touch the test set for the best acc? HOT 2
- Learning rate schedule
- 你好,结果不一致 HOT 2
- Searched genotype remain / keep unchanged for a great number of epoch HOT 2
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:1!
- 您好，想请问一下网络搜索完之后如何得到需要的网络结构代码？ HOT 3
- About the license of this repository
- Hello, whether PC-DARTS likes DARTS with extra dropout?
- Not Enough Comments in the Code
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