diff --git a/ppcls/optimizer/learning_rate.py b/ppcls/optimizer/learning_rate.py
index ecd54f14a86c34b534aa7d6794923b2168159019..f352fd00dce94539f7d504c78e56c4e399fb4c2d 100644
--- a/ppcls/optimizer/learning_rate.py
+++ b/ppcls/optimizer/learning_rate.py
@@ -403,10 +403,23 @@ class Piecewise(LRBase):
                  warmup_start_lr=0.0,
                  last_epoch=-1,
                  by_epoch=False,
+                 learning_rate=None,
                  **kwargs):
+        if learning_rate:
+            decay_epochs = list(range(0, epochs, 30))[1:]
+            values = [
+                learning_rate * (0.1**i)
+                for i in range(len(decay_epochs) + 1)
+            ]
+            logger.warning(
+                "When 'learning_rate' of Piecewise has beed set, "
+                "the learning rate scheduler would be set by the rule that lr decay 10 times every 30 epochs. "
+                f"So, the 'decay_epochs' and 'values' have been set to {decay_epochs} and {values} respectively."
+            )
         super(Piecewise,
               self).__init__(epochs, step_each_epoch, values[0], warmup_epoch,
                              warmup_start_lr, last_epoch, by_epoch)
+
         self.values = values
         self.boundaries_steps = [e * step_each_epoch for e in decay_epochs]
         if self.by_epoch is True: