fix the loss docs

Author: zty-king

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')

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')

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.CosineEmbeddingLoss.md

@@ -21,17 +21,77 @@ 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 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, 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 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')
+```
+reduction = 'none'
 ```

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')

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md

@@ -27,17 +27,76 @@ 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 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, 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 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')
+```
+reduction = 'none'
 ```

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')
 ```