[Docathon] Fix NO.6 NO.21 API Label (PaddlePaddle#57512)

python/paddle/incubate/optimizer/lars_momentum.py

@@ -45,7 +45,7 @@ class LarsMomentumOptimizer(Optimizer):
             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 \
-            regularizer using :ref:`api_base_ParamAttr` already, the regularization setting here in optimizer will be \
+            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.
         grad_clip (GradientClipBase, optional): Gradient cliping strategy, it's an instance of

python/paddle/incubate/optimizer/lbfgs.py

@@ -58,7 +58,7 @@ class LBFGS(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/nn/layer/rnn.py

@@ -740,7 +740,7 @@ class SimpleRNNCell(RNNCellBase):
         - **states** (Tensor): shape `[batch_size, hidden_size]`, the new hidden state, corresponding to :math:`h_{t}` in the formula.
 
     Notes:
-        All the weights and bias are initialized with `Uniform(-std, std)` by default. Where std = :math:`\frac{1}{\sqrt{hidden\_size}}`. For more information about parameter initialization, please refer to :ref:`api_base_ParamAttr`.
+        All the weights and bias are initialized with `Uniform(-std, std)` by default. Where std = :math:`\frac{1}{\sqrt{hidden\_size}}`. For more information about parameter initialization, please refer to :ref:`api_paddle_ParamAttr`.
 
     Examples:
 
@@ -893,7 +893,7 @@ class LSTMCell(RNNCellBase):
     Notes:
         All the weights and bias are initialized with `Uniform(-std, std)` by
         default. Where std = :math:`\frac{1}{\sqrt{hidden\_size}}`. For more
-        information about parameter initialization, please refer to :ref:`api_base_ParamAttr`.
+        information about parameter initialization, please refer to :ref:`api_paddle_ParamAttr`.
 
     Examples:
 
@@ -1054,7 +1054,7 @@ class GRUCell(RNNCellBase):
     Notes:
         All the weights and bias are initialized with `Uniform(-std, std)` by
         default. Where std = :math:`\frac{1}{\sqrt{hidden\_size}}`. For more
-        information about parameter initialization, please refer to s:ref:`api_base_ParamAttr`.
+        information about parameter initialization, please refer to s:ref:`api_paddle_ParamAttr`.
 
     Examples:
 

python/paddle/optimizer/adadelta.py

@@ -55,7 +55,7 @@ class Adadelta(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/optimizer/adam.py

@@ -73,7 +73,7 @@ class Adam(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already,
+            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/optimizer/adamax.py

@@ -68,7 +68,7 @@ class Adamax(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already,
+            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/optimizer/lbfgs.py

@@ -340,7 +340,7 @@ class LBFGS(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/optimizer/momentum.py

@@ -60,7 +60,7 @@ class Momentum(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/optimizer/optimizer.py

@@ -109,7 +109,7 @@ class Optimizer:
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/optimizer/rmsprop.py

@@ -92,7 +92,7 @@ class RMSProp(Optimizer):
         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`.
-          If a parameter has set regularizer using :ref:`api_base_ParamAttr` already,
+          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/optimizer/sgd.py

@@ -41,7 +41,7 @@ class SGD(Optimizer):
         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`.
-            If a parameter has set regularizer using :ref:`api_base_ParamAttr` already, \
+            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/static/nn/common.py

@@ -2566,10 +2566,10 @@ def bilinear_tensor_product(
             :ref:`api_guide_Name` . Usually name is no need to set and None by default.
         param_attr (ParamAttr|None): To specify the weight parameter attribute.
             Default: None, which means the default weight parameter property is
-            used. See usage for details in :ref:`api_base_ParamAttr` .
+            used. See usage for details in :ref:`api_paddle_ParamAttr` .
         bias_attr (ParamAttr|None): To specify the bias parameter attribute.
             Default: None, which means the default bias parameter property is
-            used. See usage for details in :ref:`api_base_ParamAttr` .
+            used. See usage for details in :ref:`api_paddle_ParamAttr` .
 
     Returns:
         Tensor, A 2-D Tensor of shape [batch_size, size]. Data type is the same as input **x**.

python/paddle/static/nn/loss.py

@@ -62,10 +62,10 @@ def nce(
             sample is 1.0.
         param_attr (ParamAttr|None): To specify the weight parameter attribute.
             Default: None, which means the default weight parameter property is
-            used. See usage for details in :ref:`api_base_ParamAttr` .
+            used. See usage for details in :ref:`api_paddle_ParamAttr` .
         bias_attr (ParamAttr|None): To specify the bias parameter attribute.
             Default: None, which means the default bias parameter property is
-            used. See usage for details in :ref:`api_base_ParamAttr` .
+            used. See usage for details in :ref:`api_paddle_ParamAttr` .
         num_neg_samples (int): ${num_neg_samples_comment}.
         name(str|None): For detailed information, please refer to
             :ref:`api_guide_Name` . Usually name is no need to set and None by default.

python/paddle/static/nn/sequence_lod.py

@@ -108,9 +108,9 @@ def sequence_conv(
             on both sides of the sequence. If set 0, the length of :math:`filter\_size - 1` data
             is padded at the end of each input sequence. Default: None.
         bias_attr (ParamAttr): To specify the bias parameter property. Default: None, which means the
-            default bias parameter property is used. See usage for details in :ref:`api_base_ParamAttr` .
+            default bias parameter property is used. See usage for details in :ref:`api_paddle_ParamAttr` .
         param_attr (ParamAttr): To specify the weight parameter property. Default: None, which means the
-            default weight parameter property is used. See usage for details in :ref:`api_base_ParamAttr` .
+            default weight parameter property is used. See usage for details in :ref:`api_paddle_ParamAttr` .
         act (str): Activation to be applied to the output of this layer, such as tanh, softmax,
             sigmoid, relu. For more information, please refer to :ref:`api_guide_activations_en` . Default: None.
         name (str, optional): The default value is None.  Normally there is no need for user to set this property.