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fix the loss doc
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‎docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md‎

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@@ -29,7 +29,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.BCELoss(weight=w, size_average=False, reduce=True)
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torch.nn.BCELoss(weight=w, size_average=Flase)
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torch.nn.BCELoss(weight=w, size_average=False)
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# Paddle 写法
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paddle.nn.BCELoss(weight=w, reduction='sum')
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paddle.nn.BCELoss(weight=w, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.BCELoss(weight=w, size_average=True, reduce=False)
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torch.nn.BCELoss(weight=w, size_average=False, reduce=False)
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torch.nn.BCELoss(weight=w, reduce=False)
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# Paddle 写法
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paddle.nn.BCELoss(weight=w, reduction='None')
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paddle.nn.BCELoss(weight=w, reduction='none')
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```

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

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@@ -32,7 +32,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.BCEWithLogitsLoss(weight=w, size_average=False, reduce=True)
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torch.nn.BCEWithLogitsLoss(weight=w, size_average=Flase)
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torch.nn.BCEWithLogitsLoss(weight=w, size_average=False)
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# Paddle 写法
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paddle.nn.BCEWithLogitsLoss(weight=w, reduction='sum')
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paddle.nn.BCEWithLogitsLoss(weight=w, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.BCEWithLogitsLoss(weight=w, size_average=True, reduce=False)
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torch.nn.BCEWithLogitsLoss(weight=w, size_average=False, reduce=False)
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torch.nn.BCEWithLogitsLoss(weight=w, reduce=False)
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# Paddle 写法
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paddle.nn.BCEWithLogitsLoss(weight=w, reduction='None')
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paddle.nn.BCEWithLogitsLoss(weight=w, reduction='none')
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```

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

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@@ -25,7 +25,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.CosineEmbeddingLoss(margin=m, size_average=False, reduce=True)
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torch.nn.CosineEmbeddingLoss(margin=m, size_average=Flase)
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torch.nn.CosineEmbeddingLoss(margin=m, size_average=False)
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# Paddle 写法
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paddle.nn.CosineEmbeddingLoss(margin=m, reduction='sum')
@@ -43,13 +43,13 @@ torch.nn.CosineEmbeddingLoss(margin=m)
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paddle.nn.CosineEmbeddingLoss(margin=m, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.CosineEmbeddingLoss(margin=m, size_average=True, reduce=False)
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torch.nn.CosineEmbeddingLoss(margin=m, size_average=False, reduce=False)
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torch.nn.CosineEmbeddingLoss(margin=m, reduce=False)
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# Paddle 写法
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paddle.nn.CosineEmbeddingLoss(margin=m, reduction='None')
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paddle.nn.CosineEmbeddingLoss(margin=m, reduction='none')
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```

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

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@@ -40,7 +40,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.CrossEntropyLoss(weight=w, size_average=False, reduce=True)
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torch.nn.CrossEntropyLoss(weight=w, size_average=Flase)
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torch.nn.CrossEntropyLoss(weight=w, size_average=False)
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# Paddle 写法
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paddle.nn.CrossEntropyLoss(weight=w, reduction='sum')
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paddle.nn.CrossEntropyLoss(weight=w, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.CrossEntropyLoss(weight=w, size_average=True, reduce=False)
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torch.nn.CrossEntropyLoss(weight=w, size_average=False, reduce=False)
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torch.nn.CrossEntropyLoss(weight=w, reduce=False)
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# Paddle 写法
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paddle.nn.CrossEntropyLoss(weight=w, reduction='None')
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paddle.nn.CrossEntropyLoss(weight=w, reduction='none')
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```
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‎docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.HingeEmbeddingLoss.md‎

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@@ -30,7 +30,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.HingeEmbeddingLoss(margin=m, size_average=False, reduce=True)
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torch.nn.HingeEmbeddingLoss(margin=m, size_average=Flase)
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torch.nn.HingeEmbeddingLoss(margin=m, size_average=False)
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# Paddle 写法
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paddle.nn.HingeEmbeddingLoss(margin=m, reduction='sum')
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paddle.nn.HingeEmbeddingLoss(margin=m, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.HingeEmbeddingLoss(margin=m, size_average=True, reduce=False)
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torch.nn.HingeEmbeddingLoss(margin=m, size_average=False, reduce=False)
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torch.nn.HingeEmbeddingLoss(margin=m, reduce=False)
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# Paddle 写法
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paddle.nn.HingeEmbeddingLoss(margin=m, reduction='None')
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paddle.nn.HingeEmbeddingLoss(margin=m, reduction='none')
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```
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‎docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.KLDivLoss.md‎

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@@ -28,7 +28,7 @@ PyTorch 相比 Paddle 支持更多其他参数，具体如下：
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```python
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# PyTorch 写法
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torch.nn.KLDivLoss(size_average=False, reduce=True)
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torch.nn.KLDivLoss(size_average=Flase)
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torch.nn.KLDivLoss(size_average=False)
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# Paddle 写法
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paddle.nn.KLDivLoss(reduction='sum')
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paddle.nn.KLDivLoss(reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.KLDivLoss(size_average=True, reduce=False)
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torch.nn.KLDivLoss(size_average=False, reduce=False)
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torch.nn.KLDivLoss(reduce=False)
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# Paddle 写法
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paddle.nn.KLDivLoss(reduction='None')
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paddle.nn.KLDivLoss(reduction='none')
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```
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‎docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.L1Loss.md‎

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@@ -44,13 +44,13 @@ torch.nn.L1Loss()
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paddle.nn.L1Loss(reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.L1Loss(size_average=True, reduce=False)
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torch.nn.L1Loss(size_average=False, reduce=False)
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torch.nn.L1Loss(reduce=False)
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# Paddle 写法
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paddle.nn.L1Loss(reduction='None')
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paddle.nn.L1Loss(reduction='none')
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```

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

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@@ -43,13 +43,13 @@ torch.nn.MSELoss()
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paddle.nn.MSELoss(reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.MSELoss(size_average=True, reduce=False)
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torch.nn.MSELoss(size_average=False, reduce=False)
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torch.nn.MSELoss(reduce=False)
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# Paddle 写法
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paddle.nn.MSELoss(reduction='None')
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paddle.nn.MSELoss(reduction='none')
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```

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

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@@ -48,13 +48,13 @@ torch.nn.MarginRankingLoss(margin=m)
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paddle.nn.MarginRankingLoss(margin=m, reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.MarginRankingLoss(margin=m, size_average=True, reduce=False)
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torch.nn.MarginRankingLoss(margin=m, size_average=False, reduce=False)
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torch.nn.MarginRankingLoss(margin=m, reduce=False)
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# Paddle 写法
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paddle.nn.MarginRankingLoss(margin=m, reduction='None')
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paddle.nn.MarginRankingLoss(margin=m, reduction='none')
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```

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

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@@ -42,14 +42,13 @@ torch.nn.MultiLabelMarginLoss()
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paddle.nn.MultiLabelMarginLoss(reduction='mean')
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```
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#### reduction 为 None
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#### reduction 为 none
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```python
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# PyTorch 写法
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torch.nn.MultiLabelMarginLoss(size_average=True, reduce=False)
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torch.nn.MultiLabelMarginLoss(size_average=False, reduce=False)
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torch.nn.MultiLabelMarginLoss(reduce=False)
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# Paddle 写法
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paddle.nn.MultiLabelMarginLoss(reduction='None')
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paddle.nn.MultiLabelMarginLoss(reduction='none')
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```
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