diff --git a/python/paddle/fluid/optimizer.py b/python/paddle/fluid/optimizer.py
index 4625d7ea89b25e75c2cbdc88f273882806080ca1..24076e82b0365d21e7222a16cbc3d3462699f119 100755
--- a/python/paddle/fluid/optimizer.py
+++ b/python/paddle/fluid/optimizer.py
@@ -2047,15 +2047,11 @@ class LarsMomentumOptimizer(Optimizer):
     def _append_optimize_op(self, block, param_and_grad):
         assert isinstance(block, framework.Block)
         _lars_weight_decay = self._lars_weight_decay
-        _lars_coeff = self._lars_coeff
         param_name = param_and_grad[0].name
-        is_excluded = False
         if len(self._exclude_from_weight_decay) > 0:
             for name in self._exclude_from_weight_decay:
                 if name in param_name:
                     _lars_weight_decay = 0.0
-                    _lars_coeff = 0.0
-                    is_excluded = True
                     break
 
         velocity_acc = self._get_accumulator(self._velocity_acc_str,
@@ -2069,7 +2065,7 @@ class LarsMomentumOptimizer(Optimizer):
 
         attrs = {
             "mu": self._momentum,
-            "lars_coeff": _lars_coeff,
+            "lars_coeff": self._lars_coeff,
             "lars_weight_decay": _lars_weight_decay,
             "multi_precision": find_master,
             "rescale_grad": self._rescale_grad
@@ -2090,7 +2086,7 @@ class LarsMomentumOptimizer(Optimizer):
 
         # create the momentum optimize op
         momentum_op = block.append_op(
-            type='momentum' if is_excluded else self.type,
+            type=self.type,
             inputs=inputs,
             outputs=outputs,
             attrs=attrs,