def testNonZeroLossWithSampleSpecificWeightsMostZero(self):
    weights = constant_op.constant([0, 0, 0, 0, 0, 2], shape=[2, 3])
    loss = losses.mean_squared_error(self._labels, self._predictions, weights)
    with self.cached_session():
      self.assertAlmostEqual(18.0, self.evaluate(loss), 3)