|
@@ -86,3 +86,19 @@ def test_model_03(): |
|
|
assert len(list(m.seq[2].parameters())) == 1
|
|
|
assert len(list(m.seq[2].parameters())) == 1
|
|
|
assert len(list(m.seq[3].parameters())) == 2
|
|
|
assert len(list(m.seq[3].parameters())) == 2
|
|
|
# print(list(m.seq[1].parameters()))
|
|
|
# print(list(m.seq[1].parameters()))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def test_model_04():
|
|
|
|
|
|
d = Data()
|
|
|
|
|
|
d.add_node_type('Dummy', 10)
|
|
|
|
|
|
fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
|
|
|
|
|
|
mat = torch.rand(10, 10).round().to_sparse()
|
|
|
|
|
|
fam.add_relation_type('Dummy Rel 1', mat)
|
|
|
|
|
|
fam.add_relation_type('Dummy Rel 2', mat.clone())
|
|
|
|
|
|
|
|
|
|
|
|
m = Model(d, ratios=TrainValTest(1., 0., 0.))
|
|
|
|
|
|
|
|
|
|
|
|
assert len(list(m.seq[0].parameters())) == 1
|
|
|
|
|
|
assert len(list(m.seq[1].parameters())) == 2
|
|
|
|
|
|
assert len(list(m.seq[2].parameters())) == 2
|
|
|
|
|
|
assert len(list(m.seq[3].parameters())) == 3
|