[Docathon] Fix No.28 and N0.29 API label

python/paddle/incubate/optimizer/lars_momentum.py

@@ -44,7 +44,7 @@ class LarsMomentumOptimizer(Optimizer):
             This parameter is required in dygraph mode. \
             The default value is None in static graph mode, at this time all parameters will be updated.
         regularization (WeightDecayRegularizer, optional): The strategy of regularization. There are two method: \
-             :ref:`api_base_regularizer_L1Decay` , :ref:`api_base_regularizer_L2Decay` . If a parameter has set \
+             :ref:`api_paddle_regularizer_L1Decay` , :ref:`api_paddle_regularizer_L2Decay` . If a parameter has set \
             regularizer using :ref:`api_paddle_ParamAttr` already, the regularization setting here in optimizer will be \
             ignored for this parameter. Otherwise, the regularization setting here in optimizer will take effect.  \
             Default None, meaning there is no regularization.

python/paddle/incubate/optimizer/lbfgs.py

@@ -57,7 +57,7 @@ class LBFGS(Optimizer):
             This parameter is required in dygraph mode. The default value is None.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It canbe a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \

python/paddle/optimizer/adadelta.py

@@ -54,7 +54,7 @@ class Adadelta(Optimizer):
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It canbe a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \

python/paddle/optimizer/adam.py

@@ -72,7 +72,7 @@ class Adam(Optimizer):
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization.
             It canbe a float value as coeff of L2 regularization or
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already,
             the regularization setting here in optimizer will be ignored for this parameter.
             Otherwise, the regularization setting here in optimizer will take effect.

python/paddle/optimizer/adamax.py

@@ -67,7 +67,7 @@ class Adamax(Optimizer):
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization.
             It can be a float value as coeff of L2 regularization or
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already,
             the regularization setting here in optimizer will be ignored for this parameter.
             Otherwise, the regularization setting here in optimizer will take effect.

python/paddle/optimizer/lbfgs.py

@@ -339,7 +339,7 @@ class LBFGS(Optimizer):
             This parameter is required in dygraph mode. The default value is None.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It canbe a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \

python/paddle/optimizer/momentum.py

@@ -59,7 +59,7 @@ class Momentum(Optimizer):
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It can be a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \

python/paddle/optimizer/optimizer.py

@@ -108,7 +108,7 @@ class Optimizer:
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It canbe a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \

python/paddle/optimizer/rmsprop.py

@@ -91,7 +91,7 @@ class RMSProp(Optimizer):
           The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization.
           It can be a float value as coeff of L2 regularization or \
-          :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+          :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
           If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already,
           the regularization setting here in optimizer will be ignored for this parameter.
           Otherwise, the regularization setting here in optimizer will take effect.

python/paddle/optimizer/sgd.py

@@ -40,7 +40,7 @@ class SGD(Optimizer):
             The default value is None in static graph mode, at this time all parameters will be updated.
         weight_decay (float|WeightDecayRegularizer, optional): The strategy of regularization. \
             It can be a float value as coeff of L2 regularization or \
-            :ref:`api_base_regularizer_L1Decay`, :ref:`api_base_regularizer_L2Decay`.
+            :ref:`api_paddle_regularizer_L1Decay`, :ref:`api_paddle_regularizer_L2Decay`.
             If a parameter has set regularizer using :ref:`api_paddle_ParamAttr` already, \
             the regularization setting here in optimizer will be ignored for this parameter. \
             Otherwise, the regularization setting here in optimizer will take effect. \