Comments (4)
@impredicative I am very sympathetic to your cause. Personally, I write code that only works with Python 3.6 and above because it's so much nicer, and in fact, we originally implemented Foolbox for Python 3 only. Given that Python 2.7 will still be maintained until 2020 and many people and projects (see for example @ducha-aiki 's comment) still use Python 2.7, we decided to backport Foolbox to Python 2.7 so that Foolbox can be used by anyone. I am sure we will drop Python 2.7 support in the future and I am very much looking forward to it.
I will close this issue because it's not the agenda right now, but additional comments are appreciated.
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@impredicative I am also sympathetic to your issue but we should keep in mind that Foolbox is a small package that will hardly make people switch to Python 3 (instead Foolbox would loose a lot of users). Such traction should come from larger and more popular packages like numpy or pandas. If they'd turn Python 3 only - which they will in 2020 - then many people would switch.
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- Why should I move?
- Google Brain (!) in their started kit code for Kaggle NIPS competition use python 2
https://www.kaggle.com/c/nips-2017-defense-against-adversarial-attack/data
and you tell people not to. Really?
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The unfortunately reality is that others won't move to Python 3 unless you force them to by breaking compatibility with Python 2.
@impredicative or people just drop a package, for example and switch to more friendly
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Related Issues (20)
- [tests/test_models] The results of `transform_bounds` are inconsistent between CPU and GPU. HOT 3
- Are there any plans to support attacks on TFLite models? HOT 1
- Changing CUDA device at runtime HOT 1
- Logit optimization
- about PGD attack HOT 2
- specifying criterion fails with TypeError HOT 2
- "nll_loss_forward_no_reduce_cuda_kernel_index" not implemented for 'Float' HOT 3
- Deprecation warning using old scipy namespace for gaussian_filter
- how to define the bounds HOT 2
- About the pgd attacks HOT 1
- how to use GaussianBlurAttack HOT 1
- FGSM TargetedMisclassfication HOT 1
- Use foolbox for multi-label classification HOT 1
- Local datasets supported?
- Is there a criterion for query budget? HOT 1
- It seems like the 'success' value in the return of the 'attack' function is overconfident. HOT 2
- About Carlini-Wagner Attack
- Are the wrong classified images sorted out? HOT 1
- It seems your CI/CD has a bug. HOT 1
- How to load datasets that are not among the sample?
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