RuntimeError: CUDA error: an illegal memory access was encountered about cogqa HOT 12 OPEN

Hi, this seems to be caused by some other problems(from the environments), could you provide more information?

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Thank you ! This is my conda and torch version configuration:
python 3.7.0
conda 4.5.11
torch 1.0.1.post2
torchvision 0.2.2.post3

Hi, this seems to be caused by some other problems(from the environments), could you provide more information?

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The batch_size in the train.py has been transferred to 1, My machine is:2080Ti

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Hi, can you tell me which code raise the error? seems like the environment is okay.

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Yeah ! "batch = tuple(t.to(device) for t in batch)" , I've now reinstalled the Ubantu environment, May I ask if your VERSION of CUDA must be 8?

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I have been stuck with this problem for 3 days and have ruled out memory overflow and batch_size. I couldn't resist reinstalling the system yesterday, and I noticed that the CUDA version didn't fit.

How many VERSIONS of CUDA do you have?
Thank you ~

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I suspect the problem is that CudA10.0 doesn't match the torch in the code

from cogqa.

No, but you need to ensure your torch build to fit for the CUDA version.

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soga. I think I know what the problem is where. My CUDA version follows your requirements, but Cuda may not match the torch

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Cuda loaded 8.0 has collapsed， I'm going to reinstall the system and press the new CUDA and Torch versions

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Hello！ I think I finally found the problem, but I don’t know how to solve it.
Hope to get your help.

The problem appears in the train.py file：
' hop_loss, ans_loss, pooled_output = model1(*batch)'

The error suggested is：RuntimeError: CUDA error: an illegal memory access was encountered.

I suspect that the parameter range of Model1 is different from the size of batch, Could you please help me explain the structure of model1, thank you very much！！！

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I have found the problem. It is because my CUDA environment is not well installed. So much trouble for you~

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