sg-nm cgp-cnn-PyTorch issues - Githubissues

sg-nm / cgp-cnn-PyTorch

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

MIT License

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Looking for help: The CGP-CNN (ConvSet) and CGP-CNN (ResSet) consist of two basic constituent unit modules in the text. However, when I ran the code I found that the two basic unit modules were mixed in one network at the same time. Is there a parameter variable in the code that can be controlled to get the results in the paper.

#13 Xiaojiuwo168 opened 1 year ago
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How to find the generated architecture

#12 GBitocchi closed 2 years ago
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AssertionError: group argument must be None for now

#11 archeltaneka closed 3 years ago
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the acc of retrain

#10 Sunrisulfr opened 3 years ago
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How to choose the ConvSet or ResSet note type structure

#9 J-Wu97 closed 4 years ago
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What does the target and label represent in the code?

#8 yuxiaomu closed 4 years ago
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the acc of retrain

#7 yuxiaomu closed 4 years ago
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ask for help about the result

#6 yuxiaomu closed 4 years ago
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Multigpu

#5 taeckyung closed 4 years ago
1
RuntimeError: Expected a_in <= b_in to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)

#4 yuxiaomu opened 4 years ago
5
exp_main.py

#3 yuxiaomu closed 4 years ago
0
Hello, author, thank you very much for your work, but can you give us a more detailed explanation document on how to use the code?

#2 yuxiaomu closed 4 years ago
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Is it possible that you've made a mistake about the version of Pytorch.

#1 marsggbo opened 5 years ago
5