def aggregate(loss, weights=None, mode='mean'):
 if (weights is not None):
  loss = (loss * weights)
 if (mode == 'mean'):
  return loss.mean()
 elif (mode == 'sum'):
  return loss.sum()
 elif (mode == 'normalized_sum'):
  if (weights is None):
   raise ValueError("require weights for mode='normalized_sum'")
  return (loss.sum() / weights.sum())
 else:
  raise ValueError(("mode must be 'mean', 'sum' or 'normalized_sum', got %r" % mode))

def aggregate ( loss , weights = None , mode = 'mean' ) : if ( weights is not None ) : loss = ( loss * weights ) if ( mode == 'mean' ) : return loss . mean ( ) elif ( mode == 'sum' ) : return loss . sum ( ) elif ( mode == 'normalized_sum' ) : if ( weights is None ) : raise ValueError ( "require weights for mode='normalized_sum'" ) return ( loss . sum ( ) / weights . sum ( ) ) else : raise ValueError ( ( "mode must be 'mean', 'sum' or 'normalized_sum', got %r" % mode ) )
aggregate record-style value for a method decorated with @one .