def test_regularizer_applicator_respects_regex_matching(self):
model = torch.nn.Sequential(
torch.nn.Linear(5, 10),
torch.nn.Linear(10, 5)
)
initializer = InitializerApplicator([(".*", lambda tensor: constant(tensor, 1.))])
initializer(model)
value = RegularizerApplicator([("weight", L2Regularizer(0.5)),
("bias", L1Regularizer(1.0))])(model)
assert value.data.numpy() == 65.0
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