force deterministic cudnn to help the tests

src/maggotuba/models/trainers.py

@@ -259,7 +259,8 @@ def enforce_reproducibility(generator=None):
         seed = generator.initial_seed()
     # see https://pytorch.org/docs/1.13/notes/randomness.html
     torch.use_deterministic_algorithms(True)
-    # torch.backends.cudnn.deterministic = True
+    if torch.cuda.is_available:
+        torch.backends.cudnn.deterministic = True
     torch.manual_seed(seed)
     seed = seed % 2**32
     np.random.seed(seed)