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Is it correct that Nan appears in the loss? #32
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maybe you need to change the batch size, I met this situation as well. |
Did you change the batch size from how many to how many? |
8 to 4 |
Where should I edit it? I can't see the batch size 8 part. |
samples_per_gpu |
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I ran the code as written on github.
However, after a certain point, the loss is all Nan.
I think it's a loss of the dataset, so I recreated the pkl file with create_data.py, but Nan comes out as it is. Is it correct to run the training to the end even if Nan comes out?
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