diff --git a/library/adafactor_fused.py b/library/adafactor_fused.py
index c59f668c..80ae4162 100644
--- a/library/adafactor_fused.py
+++ b/library/adafactor_fused.py
@@ -51,8 +51,6 @@ def copy_kahan_(target: torch.Tensor, source: torch.Tensor, state, update):
     # Initialize residuals to 0 for first step
     if state.get('kahan_residuals') is None:
         state['kahan_residuals'] = torch.zeros_like(source, dtype=torch.int16)
-    else:
-        pass
     
     # Need this in 32 bit as PyTorch doesn't support mixed 32-bit and 16-bit math operations
     state['kahan_residuals'] = state['kahan_residuals'].to(source.device).to(dtype=torch.int32)