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vikrant7 / mobile-vod-bottleneck-lstm

Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch
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Something went wrong in training train_mvod_lstm1.py #28

Open Vickywz opened 3 years ago

Vickywz commented 3 years ago

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [256, 256, 1, 1]] is at version 5; expected version 4 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

I don't know how to modify it, I would like to ask you，thank you！

onurbagoren commented 2 years ago

Hello, did you ever get a resolution on this? Also running into the same issue

nis243 commented 2 years ago

Hello. In RTX3080Ti + torch 1.10.0+cu113, the same phenomenon occurred. It worked somehow by downgrading the version.

It's not realistic, but if you want it to work on the CPU, you'll probably need to modify the '.cuda()' part of 'network/mvod_*.py'.

RTX3080Ti + Python 3.6.13 + torch 1.4.0 + use CPU

RTX2080Ti + Python 3.6.13 + torch 1.4.0+cu100 Why is val commented on train_mvod_lstm1.py? I don't understand the meaning. ...