diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md
index b9805cb8922..5cd295e7960 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md
@@ -25,7 +25,8 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction  | reduction            | 表示应用于输出结果的计算方式。  |
 
 ### 转写示例
-#### size_averagesize_average 为 True
+#### size_average
+size_average 为 True
 ```python
 # PyTorch 写法
 torch.nn.BCELoss(weight=w, size_average=True)
@@ -43,7 +44,8 @@ torch.nn.BCELoss(weight=w, size_average=False)
 paddle.nn.BCELoss(weight=w, reduction='sum')
 ```
 
-#### reducereduce 为 True
+#### reduce
+reduce 为 True
 ```python
 # PyTorch 写法
 torch.nn.BCELoss(weight=w, reduce=True)
@@ -61,7 +63,8 @@ torch.nn.BCELoss(weight=w, reduce=False)
 paddle.nn.BCELoss(weight=w, reduction='none')
 ```
 
-#### reductionreduction 为'none'
+#### reduction
+reduction 为'none'
 ```python
 # PyTorch 写法
 torch.nn.BCELoss(weight=w, reduction='none')
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCEWithLogitsLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCEWithLogitsLoss.md
index f11f2925181..a05a0bc8ffe 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCEWithLogitsLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCEWithLogitsLoss.md
@@ -28,7 +28,8 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | pos_weight  | pos_weight            | 表示正类的权重。  |
 
 ### 转写示例
-#### size_averagesize_average 为 True
+#### size_average
+size_average 为 True
 ```python
 # PyTorch 写法
 torch.nn.BCEWithLogitsLoss(weight=w, size_average=True)
@@ -46,7 +47,8 @@ torch.nn.BCEWithLogitsLoss(weight=w, size_average=False)
 paddle.nn.BCEWithLogitsLoss(weight=w, reduction='sum')
 ```
 
-#### reducereduce 为 True
+#### reduce
+reduce 为 True
 ```python
 # PyTorch 写法
 torch.nn.BCEWithLogitsLoss(weight=w, reduce=True)
@@ -64,7 +66,8 @@ torch.nn.BCEWithLogitsLoss(weight=w, reduce=False)
 paddle.nn.BCEWithLogitsLoss(weight=w, reduction='none')
 ```
 
-#### reductionreduction 为'none'
+#### reduction
+reduction 为'none'
 ```python
 # PyTorch 写法
 torch.nn.BCEWithLogitsLoss(weight=w, reduction='none')
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CosineEmbeddingLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CosineEmbeddingLoss.md
index 186efe01e13..5f58e0303aa 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CosineEmbeddingLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CosineEmbeddingLoss.md
@@ -21,17 +21,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction    | reduction    | 指定应用于输出结果的计算方式。                 |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.CosineEmbeddingLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.CosineEmbeddingLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CrossEntropyLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CrossEntropyLoss.md
index 4f5bd45cccd..f6b69e18ead 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CrossEntropyLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CrossEntropyLoss.md
@@ -36,7 +36,8 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | -             | axis       | 进行 softmax 计算的维度索引，PyTorch 无此参数，Paddle 保持默认即可。   |
 
 ### 转写示例
-#### size_averagesize_average 为 True
+#### size_average
+size_average 为 True
 ```python
 # PyTorch 写法
 torch.nn.CrossEntropyLoss(weight=w, size_average=True)
@@ -54,7 +55,8 @@ torch.nn.CrossEntropyLoss(weight=w, size_average=False)
 paddle.nn.CrossEntropyLoss(weight=w, reduction='sum')
 ```
 
-#### reducereduce 为 True
+#### reduce
+reduce 为 True
 ```python
 # PyTorch 写法
 torch.nn.CrossEntropyLoss(weight=w, reduce=True)
@@ -72,7 +74,8 @@ torch.nn.CrossEntropyLoss(weight=w, reduce=False)
 paddle.nn.CrossEntropyLoss(weight=w, reduction='none')
 ```
 
-#### reductionreduction 为'none'
+#### reduction
+reduction 为'none'
 ```python
 # PyTorch 写法
 torch.nn.CrossEntropyLoss(weight=w, reduction='none')
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md
index bb68acdc67d..b098c562767 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md
@@ -27,17 +27,74 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.HingeEmbeddingLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.HingeEmbeddingLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.KLDivLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.KLDivLoss.md
index 44b60df0963..a80b9250c6c 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.KLDivLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.KLDivLoss.md
@@ -25,17 +25,74 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.KLDivLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.KLDivLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.L1Loss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.L1Loss.md
index 27d625ae85f..c7155ebfc1c 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.L1Loss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.L1Loss.md
@@ -23,17 +23,74 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(size_average=True)
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(size_average=False)
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(reduce=True)
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.L1Loss(reduce=False)
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(reduction='none')
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(reduction='mean')
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.L1Loss(reduction='sum')
+
+# Paddle 写法
+paddle.nn.L1Loss(reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MSELoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MSELoss.md
index 433eb5fbcd3..adfef1dfc58 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MSELoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MSELoss.md
@@ -21,15 +21,6 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction        | reduction            | 表示对输出结果的计算方式。  |
 
 ### 转写示例
-#### size_average
-```python
-# Paddle 写法
-torch.nn.MSELoss(size_average=True)
-
-# Paddle 写法
-paddle.nn.MSELoss(reduction='mean')
-```
-
 #### size_average
 size_average 为 True
 
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MarginRankingLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MarginRankingLoss.md
index 98eb855c012..e6e92148b17 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MarginRankingLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MarginRankingLoss.md
@@ -27,17 +27,74 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.MarginRankingLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.MarginRankingLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelMarginLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelMarginLoss.md
index 936dafc0c66..e21e9406749 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelMarginLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelMarginLoss.md
@@ -20,17 +20,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction    | reduction    | 指定应用于输出结果的计算方式。                 |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelMarginLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.MultiLabelMarginLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelSoftMarginLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelSoftMarginLoss.md
index e42656734a6..604265f4e40 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelSoftMarginLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiLabelSoftMarginLoss.md
@@ -21,17 +21,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction    | reduction    | 指定应用于输出结果的计算方式。                 |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.MultiLabelSoftMarginLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.MultiLabelSoftMarginLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiMarginLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiMarginLoss.md
index 713da40d42d..e45cda33913 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiMarginLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.MultiMarginLoss.md
@@ -23,20 +23,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction          | reduction          | 指定应用于输出结果的计算方式，可选值有 `none`、`mean` 和 `sum`。默认为 `mean`，计算 mini-batch loss 均值。设置为 `sum` 时，计算 mini-batch loss 的总和。设置为 `none` 时，则返回 loss Tensor。默认值下为 `mean`。   |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
-
-# 如果 PyTorch 存在 reduction 参数，则直接覆盖
-if 'reduction' not in kwargs:
-    kwargs['reduction'] = reduction
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.MultiMarginLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.MultiMarginLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.NLLLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.NLLLoss.md
index f9f20d00838..270510e7b4e 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.NLLLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.NLLLoss.md
@@ -29,15 +29,6 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction    | reduction    | 表示应用于输出结果的计算方式。               |
 
 ### 转写示例
-#### size_average
-```python
-# Paddle 写法
-torch.nn.NLLLoss(size_average=True)
-
-# Paddle 写法
-paddle.nn.NLLLoss(reduction='mean')
-```
-
 #### size_average
 size_average 为 True
 
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.PoissonNLLLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.PoissonNLLLoss.md
index d7cb3058cba..87fc2fcbd35 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.PoissonNLLLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.PoissonNLLLoss.md
@@ -23,20 +23,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction          | reduction          | 指定应用于输出结果的计算方式，可选值有 `none`、`mean` 和 `sum`。默认为 `mean`，计算 mini-batch loss 均值。设置为 `sum` 时，计算 mini-batch loss 的总和。设置为 `none` 时，则返回 loss Tensor。默认值下为 `mean`。两者完全一致。   |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
-
-# 如果 PyTorch 存在 reduction 参数，则直接覆盖
-if 'reduction' not in kwargs:
-    kwargs['reduction'] = reduction
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.PoissonNLLLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.PoissonNLLLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SmoothL1Loss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SmoothL1Loss.md
index a81d3efa0b1..3ea1a12e759 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SmoothL1Loss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SmoothL1Loss.md
@@ -28,15 +28,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
-```python
-# Paddle 写法
-torch.nn.SmoothL1Loss(size_average=True)
-
-# Paddle 写法
-paddle.nn.SmoothL1Loss(reduction='mean')
-```
-
-#### size_averagesize_average 为 True
+size_average 为 True
 ```python
 # PyTorch 写法
 torch.nn.SmoothL1Loss(size_average=True)
@@ -54,7 +46,8 @@ torch.nn.SmoothL1Loss(size_average=False)
 paddle.nn.SmoothL1Loss(reduction='sum')
 ```
 
-#### reducereduce 为 True
+#### reduce
+reduce 为 True
 ```python
 # PyTorch 写法
 torch.nn.SmoothL1Loss(reduce=True)
@@ -72,7 +65,8 @@ torch.nn.SmoothL1Loss(reduce=False)
 paddle.nn.SmoothL1Loss(reduction='none')
 ```
 
-#### reductionreduction 为'none'
+#### reduction
+reduction 为'none'
 ```python
 # PyTorch 写法
 torch.nn.SmoothL1Loss(reduction='none')
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SoftMarginLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SoftMarginLoss.md
index 6868324c3ba..02c1eedd7a9 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SoftMarginLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.SoftMarginLoss.md
@@ -24,17 +24,74 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 
 ### 转写示例
 #### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='sum')
 ```
diff --git a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.TripletMarginLoss.md b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.TripletMarginLoss.md
index b074981e813..eb7e7d35688 100644
--- a/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.TripletMarginLoss.md
+++ b/docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.TripletMarginLoss.md
@@ -24,17 +24,75 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
 | reduction    | reduction    | 指定应用于输出结果的计算方式。                 |
 
 ### 转写示例
+#### size_average
+size_average 为 True
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, size_average=True)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+size_average 为 False
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, size_average=False)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='sum')
+```
+
+#### reduce
+reduce 为 True
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduce=True)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+reduce 为 False
+
 ```python
-# PyTorch 的 size_average、reduce 参数转为 Paddle 的 reduction 参数
-if size_average is None:
-    size_average = True
-if reduce is None:
-    reduce = True
-
-if size_average and reduce:
-    reduction = 'mean'
-elif reduce:
-    reduction = 'sum'
-else:
-    reduction = 'none'
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduce=False)
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='none')
+```
+
+#### reduction
+reduction 为'none'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='none')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='none')
+```
+
+reduction 为'mean'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='mean')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='mean')
+```
+
+reduction 为'sum'
+
+```python
+# PyTorch 写法
+torch.nn.TripletMarginLoss(weight=w, reduction='sum')
+
+# Paddle 写法
+paddle.nn.TripletMarginLoss(weight=w, reduction='sum')
 ```