“carré moyen de la racine de torche” Réponses codées

carré moyen de la racine de torche

#its not built in but you can get RMSE like so:
criterion = nn.MSELoss()
loss = torch.sqrt(criterion(x, y))
loss.backward()
print(x.grad)