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新增local_map API的中文文档 #7245
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新增local_map API的中文文档 #7245
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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-7245.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
方法 | ||
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wrapped_func() | ||
''''''''' | ||
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包装后返回的函数。该函数会: | ||
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1. 将输入的分布式张量转换为本地张量 | ||
2. 在本地执行函数计算 | ||
3. 将计算结果按照指定的分布策略转换回分布式张量 | ||
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**参数** | ||
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- **args** (Any) - 位置参数,通常包含分布式张量 | ||
- **kwargs** (Any) - 额外的关键字参数 | ||
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**返回** | ||
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按照 out_placements 指定的分布策略转换后的分布式张量 |
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local_map
is a API of function that does not need to describe methods, only API of class need to describe member methods in the class
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Done
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LGTM
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另外,在 paddle/distributed/Overview 的总览里加上该 API 的引用
代码示例 | ||
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.. code-block:: python |
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中文示例代码统一用 COPY-FROM: paddle.xxx
的形式,xxx 为 API 的调用路径,目的为和英文代码保持一致
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Done
- **in_placements** (list[list[dist.Placement]] | None) - 指定输入张量的要求分布。如果指定,每个内层列表描述对应输入张量的分布要求。外层列表长度必须与输入张量数量匹配。对于不具有分布式属性的输入应设为 None,默认为 None | ||
- **process_mesh** (Optional[ProcessMesh]) - 计算设备网格。所有分布式张量必须位于同一个 process_mesh 上。如未指定则从输入张量推断 | ||
- **reshard_inputs** (bool) - 当输入分布式张量的分布方式与要求的 in_placements 不匹配时,是否自动重分布。默认 False |
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参考 API 参数写法
- 可选参数应该写为如
in_placements (list[list[dist.Placement]],可选)
的形式 - 标点符号注意,都需要为中文标点符号。
输入应设为 None,默认为 None
中间用的是英文,修改一下。另外结尾的句号都不要忘记 - 对于每个可选参数们都要说明:1. 默认值是什么 2. 默认值的含义。 像 process_mesh 就没说默认值和默认值的含义
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Done
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可选参数应该写为如 in_placements (list[list[dist.Placement]],可选) 的形式
不懂不要乱说啊,类型提示的 Optional 和这里的可选语义完全不一样!
类型提示里的 Optional[T]
代表输入类型可以是 T 或者 None,现代语法更常用的是 T | None
可选参数指参数有默认值
两者没有强关联性!
def fn1(x: int): ... # 类型只能是 int
def fn2(x: int | None): ... # 类型可以是 int | None,注意不是可选参数,因为没有默认值
def fn3(x: int = 1): ... # 类型只能是 int,有默认值,即可选参数
def fn4(x: int | None = None): ... # 类型可以是 int | None,同时是可选参数,默认值为 None
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@SigureMo 我看源码对应的类型提示 in_placements: list[list[dist.Placement]] | None = None
不是可选参数么
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之前并不是,这是昨天刚改的
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而且 list[list[dist.Placement]] | None
是类型提示,= None
不是类型提示
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一师傅回的好快。所以这里应该改为 in_placements (list[list[dist.Placement]] | None,可选)
是么
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可以这样
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