def test_many_tensors(self):
"""Test if output is correct for var-args."""
ts = []
exp_reg = 0.
for i, shape in enumerate([
(1, 2, 3),
(2, 3, 4),
(3, 4, 5),
]):
t = torch.ones(*shape) * (i + 1)
ts.append(t)
exp_reg += numpy.prod(t.shape) * (i + 1)**2
reg = l2_regularization(*ts)
self.assertAlmostEqual(float(reg), exp_reg)
def test_one_tensor(self):
"""Test if output is correct for a single tensor."""
t = torch.ones(1, 2, 3, 4)
reg = l2_regularization(t)
self.assertAlmostEqual(float(reg), float(numpy.prod(t.shape)))
