Comments (6)
create_lmdb
Do you mine sharing how you "So I divided the line 58 in create_lmdb.py into two". Thank you!
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I got this error. In model.util, it closes torch if feature extraction is different. In my case, the device lead to close torch, means tensor(0.6196, deice='cuda:0') != tensor(0.6196). It worked well when i just change my device or just comment out the assertion line. Sorry for the poor question and i'll close this issue. It works well for me now!
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The question above were solved by reinstalling all the data. (worker00 ~ worker03 directories were not created when i ran create_lmdb.py. So I divided the line 58 in create_lmdb.py into two, which generates the worker directories and feats directories)
But, evaluation task is not still working with the error named "AssertionError: feature extraction is not the same for training and evaluation".And this error lead to the FileNotFoundError again even if I trained the model in my own once again.
Does it mean feature extraction not worked well? And if so, what should I check to fix it..?
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@jeje910 Hi Jaeyeon. Thank you for taking a closer look and reporting which issue you encountered. Good luck with your research!
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Thank you I had the same problem
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Never mind it just returns the wrong error when it should be this error that you had:
"I got this error. In model.util, it closes torch if feature extraction is different. In my case, the device lead to close torch, means tensor(0.6196, deice='cuda:0') != tensor(0.6196). It worked well when i just change my device or just comment out the assertion line. Sorry for the poor question and i'll close this issue. It works well for me now!"
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