Comments (7)
Could you please post the full error message / warning, including line numbers, stack trace, etc.
Also: which version of Python, Foolbox, NumPy are you using. Are you sure you are using the example code from the README as is or did you change anything?
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I'm not on the machine I was trying to run it on earlier, but I remember that it was from line 125 in distances.py. I know that I was running python 3.6.4 64 bit. Other versions were whatever was the latest found when installing through pycharm.
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Yes, I know it's that line, but I would still like to see the stack trace of the full error message and the version numbers once you have access to the machine again. Thanks!
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This is the only errors that I get:
Using TensorFlow backend.
2018-03-12 10:18:28.325898: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
..\AppData\Local\Programs\Python\Python36\lib\site-packages\foolbox\distances.py:125: RuntimeWarning: overflow encountered in long_scalars
f = n * (max_ - min_)**2
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Here's a link to all my versions of libraries/python: https://imgur.com/a/QSW6t
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What's the input size of your model?
What are the values that you pass as bounds?
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This should be fixed in Foolbox 0.15.0.
@MrMOABy please still let me know your input size and model bounds, thanks!
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Related Issues (20)
- Example Code Running Failed HOT 1
- [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
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