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View Code? Open in Web Editor NEWThe implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
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Can't install requirements exactly
While using pip to install the requirements, I get the following error output:
Collecting torch==1.5.0
Using cached torch-1.5.0-cp38-cp38-manylinux1_x86_64.whl (752.0 MB)
Collecting bitstring==3.1.7
Using cached bitstring-3.1.7.tar.gz (195 kB)
ERROR: Could not find a version that satisfies the requirement torchvision==0.6.0a0+82fd1c8 (from -r requirements.txt (line 3)) (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.9.0, 0.9.1, 0.10.0)
ERROR: No matching distribution found for torchvision==0.6.0a0+82fd1c8 (from -r requirements.txt (line 3))
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
I got error for attack_one.py file. Should I replace labels_cuda instead of lables?
File "attack_one.py", line 235, in
pa_acc = len([i for i in range(len(output)) if labels[i] == pred[i] and i != target_idx and i not in aux_idx]) / \
File "...../anaconda3/lib/python3.7/site-packages/torch/tensor.py", line 27, in wrapped
return f(*args, **kwargs)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
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