Skip test_decentralized_optimizer_averaging()

tests/test_training.py

@@ -169,6 +169,7 @@ def test_decentralized_optimizer_step():
     assert torch.allclose(param1, torch.full_like(param1, reference))
 
 
+@pytest.mark.skip(reason="Skipped until finishing a more stable averager implementation (TODO @justheuristic)")
 @pytest.mark.forked
 def test_decentralized_optimizer_averaging():
     dht_root = DHT(start=True)