typo

hivemind/client/averaging/training.py

@@ -36,7 +36,7 @@ class TrainingAverager(DecentralizedAverager):
 
     def __init__(self, opt: torch.optim.Optimizer, *, average_parameters: bool, average_gradients: bool,
                  average_opt_statistics: Sequence[str] = (), extra_tensors: Sequence[torch.Tensor] = (),
-                 initialize_optimizer: bool = True, **kwargs):
+                 initialize_optimizer: bool = True, compression_type=None,**kwargs):
 
         self.opt, self.extra_tensors, self.local_step = opt, tuple(extra_tensors), 0
         self.opt_statistics = tuple(average_opt_statistics)