[API Compatibility]fix the loss doc#7632
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-7632.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
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@zhwesky2010 您有空了看看这个格式是否可行，这里CI报错但是报错文档打不开，实在不知道为什么有问题 |
zhwesky2010
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Nov 17, 2025
| # PyTorch 写法 | ||
| torch.nn.BCELoss(size_average=True) | ||
| torch.nn.BCELoss(weight=w, size_average=False, reduce=True) | ||
| torch.nn.BCELoss(weight=w, size_average=False) |
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还有一种写法
torch.nn.BCELoss(weight=w, reduction='sum)
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这里我看不是之前都只给size_average+reduce到reduction的转写示例嘛，reduction到reduction是一一对应的关系，还要写出来吗
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| # Paddle 写法 | ||
| paddle.nn.BCELoss(reduction='mean') | ||
| paddle.nn.BCELoss(weight=w, reduction='sum') |
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注释一下：
## 以上写法都统一对应到如下写法
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| #### size_average | ||
| size_average 为 True | ||
| #### reduction 为 sum |
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一共有34种用法，还有torch.nn.functional.* 下面有17个
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这个路径下的loss，我看paddle都没支持size_average，reduce参数，要支持一下吗
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这个路径下的loss，我看paddle都没支持size_average，reduce参数，要支持一下吗
需要支持。同时之前的的legacy_reduction_decorator也需要在loss.py的functional API里都支持下。
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由于loss.py下都是函数（之前的17个loss是类），所以需要在原来的legacy_reduction_decorator里新增一个判断，因为原来算位置参数需要跳过self，如果是函数的话就不用跳过，会引入新的开销；或者就再写一个装饰器，不过大部分代码都可以复用，您看哪个好一点
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由于loss.py下都是函数（之前的17个loss是类），所以需要在原来的legacy_reduction_decorator里新增一个判断，因为原来算位置参数需要跳过self，如果是函数的话就不用跳过，会引入新的开销；或者就再写一个装饰器，不过大部分代码都可以复用，您看哪个好一点
@zhwesky2010 您有空了看一下这个哈
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好，那我先对这些api做支持，再来改文档吧
---- Replied Message ----
| From | ***@***.***> |
| Date | 11/18/2025 16:17 |
| To | PaddlePaddle/docs ***@***.***> |
| Cc | Tianyu ***@***.***>,
Author ***@***.***> |
| Subject | Re: [PaddlePaddle/docs] [API Compatibility]fix the loss doc (PR #7632) |
@zhwesky2010 commented on this pull request.
In docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.BCELoss.md:
@@ -25,65 +25,35 @@ 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
-
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-#### size_average
-size_average 为 True
+#### reduction 为 sum
这个路径下的loss，我看paddle都没支持size_average，reduce参数，要支持一下吗
需要支持。paddle都不支持size_average、reduce参数吧
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@zty-king 先把这个合入吧，修改的这些文档没有通过格式校验，看下CI报错 |
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17种存在size_average与reduce的loss，添加size_average+reduce->reduction的转写示例