Comments (3)
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What's the exact command that you're running and can you give the outputs?
I just got it to run with:
python == 2.7.13
numpy == 1.14.5
pytorch == 0.4.0
torchvision == 0.2.1
Perhaps the numpy version is the issue?
Before line 216, lam should look like:
tensor([ 0.8576], device='cuda:0')
and after line 216 it should just be a float like:
0.857638716698
from manifold_mixup.
I figured out I'm having this error as I have 2 gpus, everything is fine now by adding the following line to main_mixup_hidden_ssl.py
os.environ["CUDA_VISIBLE_DEVICES"]="0"
from manifold_mixup.
Related Issues (16)
- More on Reproducing CIFAR10 supervised results HOT 10
- Could you please point out the core novel code? HOT 2
- Error in line 109 of models/resnet.py HOT 1
- Plot Code
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- Application error HOT 1
- DataParallel Usage HOT 1
- Cannot reproduce CIFAR10 semi-supervised results HOT 26
- Dataparallel issue HOT 2
- Reproducing CIFAR10 supervised results HOT 5
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from manifold_mixup.