Add test_model_07().

src/icosagon/model.py

@@ -99,13 +99,13 @@ class Model(object):
 
     def run_epoch(self):
         pred = self.seq(None)
-        batch = PredictionsBatch(pred, self.batch_size)
+        batch = PredictionsBatch(pred, batch_size=self.batch_size)
         n = len(list(iter(batch)))
         loss_sum = 0
-        for i in range(n - 1):
+        for i in range(n):
             self.opt.zero_grad()
             pred = self.seq(None)
-            batch = PredictionsBatch(pred, self.batch_size, shuffle=True)
+            batch = PredictionsBatch(pred, batch_size=self.batch_size, shuffle=True)
             seed = torch.rand(1).item()
             rng_state = torch.get_rng_state()
             torch.manual_seed(seed)
@@ -116,7 +116,7 @@ class Model(object):
             (input, target) = next(it)
             loss = self.loss(input, target)
             loss.backward()
-            self.opt.optimize()
+            self.opt.step()
             loss_sum += loss.detach().cpu().item()
         return loss_sum
 

tests/icosagon/test_model.py

@@ -185,3 +185,14 @@ def test_model_06():
 
     with pytest.raises(ValueError):
         m = Model(d, batch_size='x')
+
+
+def test_model_07():
+    d = Data()
+    d.add_node_type('Dummy', 10)
+    fam = d.add_relation_family('Dummy-Dummy', 0, 0, False)
+    fam.add_relation_type('Dummy Rel', torch.rand(10, 10).round())
+
+    m = Model(d)
+
+    m.run_epoch()