def testL1Loss(self):
with self.test_session():
shape = [5, 5, 5]
num_elem = 5 * 5 * 5
weights = tf.constant(1.0, shape=shape)
wd = 0.01
loss = losses.l1_loss(weights, wd)
self.assertEqual(loss.op.name, 'L1Loss/value')
self.assertAlmostEqual(loss.eval(), num_elem * wd, 5)
def testL1Loss(self):
with self.test_session():
shape = [5, 5, 5]
num_elem = 5 * 5 * 5
weights = tf.constant(1.0, shape=shape)
wd = 0.01
loss = losses.l1_loss(weights, wd)
self.assertEquals(loss.op.name, 'L1Loss/value')
self.assertAlmostEqual(loss.eval(), num_elem * wd, 5)