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更新API CyclicLR设计文档 #145

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4 changes: 2 additions & 2 deletions rfcs/APIs/20220314_api_design_for_CyclicLR.md
Expand Up @@ -129,7 +129,7 @@ def clr(self):
if self.scale_mode == 'cycle':
return self.base_lr + (self.max_lr-self.base_lr)*np.maximum(0, (1-x))*self.scale_fn(cycle)
else:
return self.base_lr + (self.max_lr-self.base_lr)*np.maximum(0, (1- x))*self.scale_fn(self.clr_iterations)
return self.base_lr + (self.max_lr-self.base_lr)*np.maximum(0, (1-x))*self.scale_fn(self.clr_iterations)
```

# 四、对比分析
Expand All @@ -145,7 +145,7 @@ Pytorch官方文档中提到参考了上述tensorflow仓库进行修改实现,

## 命名与参数设计

API设计为`paddle.optimizer.lr.CyclicLR(base_learning_rate,max_learning_rate,step_size_up,step_size_down, mode='triangular',gamma=1.,scale_fn=None,scale_mode='cycle',last_epoch=-1,verbose=False)`
API设计为`paddle.optimizer.lr.CyclicLR(base_learning_rate,max_learning_rate,step_size_up,step_size_down, mode='triangular',exp_gamma=1.,scale_fn=None,scale_mode='cycle',last_epoch=-1,verbose=False)`

去除了Pytorch中`momentum`的相关参数。

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