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pytorch mse mae

error = torch.abs(preds - targets).sum().data
squared_error = ((preds - targets)*(preds - targets)).sum().data
runnning_mae += error
runnning_mse += squared_error
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pytorch mse mae

mse = math.sqrt(running_mselen(loader_test))
mae = running_maelen(loader_test)
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