Hi @ptrblck
How should I go about converting following numpy expression to an equivalent one using torch.sum() or torch.view().sum()?
loss = -np.mean(np.sum(np.sum(np.sum(labels * np.log(predictions), axis=1), axis=1), axis=1))
There was a discussion here Sum / Mul over multiple axes 7 but I’m still trying to figure out the syntax.