Problem: Run into a CUDA error during training
Solutions:
This error occurs due to the following two reasons:
Solutions:This error occurs due to the following two reasons:
- Inconsistency between the number of labels/classes and the number of output unitsThe input of the loss function may be incorrect
In my case the error occurs as the loss function is not correctly chosen : change to nn.BCELoss() from nn.CrossEntropyLoss()
Reference: https://towardsdatascience.com/cuda-error-device-side-assert-triggered-c6ae1c8fa4c3
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