def testL1RegressionLoss(self):
ftensor1 = tf.constant([1., 2., 3., 4.])
ftensor2 = tf.constant([5., 6., 7., -8.])
out = self.Run(functions.l1_regression_loss(ftensor1, ftensor2))
testing.assert_array_equal(out[0], numpy.array([4., 4., 4., 12.]))
def testL1RegressionLoss(self): ftensor1 = tf.constant([1., 2., 3., 4.]) ftensor2 = tf.constant([5., 6., 7., -8.]) out = self.Run(functions.l1_regression_loss(ftensor1, ftensor2)) testing.assert_array_equal(out[0], numpy.array([4., 4., 4., 12.]))