diff --git a/tests/icosagon/test_declayer.py b/tests/icosagon/test_declayer.py
index 216b1ed..732fd45 100644
--- a/tests/icosagon/test_declayer.py
+++ b/tests/icosagon/test_declayer.py
@@ -232,3 +232,56 @@ def test_decode_layer_05():
     # assert isinstance(rel_pred.edges_neg, TrainValTest)
     # assert isinstance(rel_pred.edges_back_pos, TrainValTest)
     # assert isinstance(rel_pred.edges_back_neg, TrainValTest)
+
+
+def test_decode_layer_parameter_count_01():
+    d = Data()
+    d.add_node_type('Dummy', 100)
+
+    fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
+    fam.add_relation_type('Dummy Relation 1',
+        torch.rand((100, 100), dtype=torch.float32).round().to_sparse())
+
+    prep_d = prepare_training(d, TrainValTest(.8, .1, .1))
+
+    dec = DecodeLayer(input_dim=[ 32 ], data=prep_d, keep_prob=1.,
+        activation=lambda x: x)
+
+    assert len(list(dec.parameters())) == 2
+
+
+def test_decode_layer_parameter_count_02():
+    d = Data()
+    d.add_node_type('Dummy', 100)
+
+    fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
+    fam.add_relation_type('Dummy Relation 1',
+        torch.rand((100, 100), dtype=torch.float32).round().to_sparse())
+    fam.add_relation_type('Dummy Relation 2',
+        torch.rand((100, 100), dtype=torch.float32).round().to_sparse())
+
+    prep_d = prepare_training(d, TrainValTest(.8, .1, .1))
+
+    dec = DecodeLayer(input_dim=[ 32 ], data=prep_d, keep_prob=1.,
+        activation=lambda x: x)
+
+    assert len(list(dec.parameters())) == 3
+
+
+def test_decode_layer_parameter_count_03():
+    d = Data()
+    d.add_node_type('Dummy', 100)
+
+    for _ in range(2):
+        fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
+        fam.add_relation_type('Dummy Relation 1',
+            torch.rand((100, 100), dtype=torch.float32).round().to_sparse())
+        fam.add_relation_type('Dummy Relation 2',
+            torch.rand((100, 100), dtype=torch.float32).round().to_sparse())
+
+    prep_d = prepare_training(d, TrainValTest(.8, .1, .1))
+
+    dec = DecodeLayer(input_dim=[ 32 ], data=prep_d, keep_prob=1.,
+        activation=lambda x: x)
+
+    assert len(list(dec.parameters())) == 6