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This repository was archived by the owner on Nov 28, 2023. It is now read-only.

[potential bug]  #210

@LilySnow

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@LilySnow

From @manonreau on graphprot:

When you store loss values, do not forget to detach it from the computation graph (that is used for the back propagation) or you could run into memory issues ! :)
ex :

tot_loss += loss.item()          # DON'T DO THAT
tot_loss += loss.detach().item() # DO THAT :D

DeepRank is using:
running_loss += loss.data.item() in NeuralNet.py. Maybe we want to correct it.

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