typo

hivemind/averaging/training.py

@@ -51,7 +51,7 @@ class TrainingAverager(DecentralizedAverager):
         assert average_parameters and average_gradients and not average_opt_statistics
 
         compression_type = [CompressionType.FLOAT16 if g.numel() <= 2 ** 16 else CompressionType.UNIFORM_8BIT
-                            for g in averaged_tensors])
+                            for g in averaged_tensors]
 
         for g in averaged_tensors:
             print('COMPRESSION', g.shape, '->', 'FLOAT16' if g.numel() <= 2 ** 16 else 'UINT8')