Comments (9)
Thanks for your interest in our work!
I'm not entirely sure what's causing this problem. I think it might be due to the mismatch of PyTorch and CUDA versions.
My NVIDIA driver version is 460.84, and my CUDA version is 11.2. I hope this information might help you.
If you have any further questions, please feel free to add comments to this issue.
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Hi, I got the same problem here. Do you find out how to fix it? Very appreciated for your help.
from class-incremental-learning.
Hi, I got the same problem here. Do you find out how to fix it? Very appreciated for your help.
I don't have this issue when I running the code. So, could you please provide your GPU info, PyTorch version, and CUDA version? Thanks a lot!
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Hi, thank you for your reply. My ubuntu version is 20.04, driver version 470.103.01, cuda version: 11.4. Very appreciated that.
from class-incremental-learning.
Hi, thank you for your reply. My ubuntu version is 20.04, driver version 470.103.01, cuda version: 11.4. Very appreciated that.
Are you using PyTorch 1.2.0 and Python 3.6?
from class-incremental-learning.
Hi, thank you for your reply. My ubuntu version is 20.04, driver version 470.103.01, cuda version: 11.4. Very appreciated that.
Are you using PyTorch 1.2.0 and Python 3.6?
Yes, I follow the exact version of them.
from class-incremental-learning.
Hi, thank you for your reply. My ubuntu version is 20.04, driver version 470.103.01, cuda version: 11.4. Very appreciated that.
Are you using PyTorch 1.2.0 and Python 3.6?
Yes, I follow the exact version of them.
Thanks for providing this information. Currently, I cannot reproduce this issue on my system. Thus, I don't have a solution to this issue. I am very sorry about it. I will keep you posted if I find some new solution.
If you find some solutions, you may also post them here. I am truly grateful for it.
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Sure, Thank you for your help.
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Related Issues (20)
- Where ImageNet images resized such that the smaller dimension is 256? HOT 4
- runs the code in mini-imagenet HOT 1
- How are the hyperparameters tuned? HOT 1
- Paper uses dynamic budget, but repository recommends fixed? HOT 2
- Question about exemplar selection code HOT 2
- Running errors HOT 3
- ValueError: signal number 32 out of range HOT 1
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- PODNET-AAN Related experiment running issue! HOT 4
- Save model in PODNET repo HOT 1
- About initializing learnable parame φi and ηi HOT 4
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