Unverified Commit 5de2b130 authored by Ren Tianhe's avatar Ren Tianhe Committed by GitHub
Browse files

[Docs] Fix typo in registry.md (#1717)

parent e36332e6
...@@ -91,7 +91,7 @@ CONVERTERS = Registry('converter', build_func=build_converter) ...@@ -91,7 +91,7 @@ CONVERTERS = Registry('converter', build_func=build_converter)
```{note} ```{note}
In this example, we demonstrate how to use the `build_func` argument to customize the way to build a class instance. In this example, we demonstrate how to use the `build_func` argument to customize the way to build a class instance.
The functionality is similar to the default `build_from_cfg`. In most cases, default one would be sufficient. The functionality is similar to the default `build_from_cfg`. In most cases, default one would be sufficient.
`build_model_from_cfg` is also implemented to build PyTorch module in `nn.Sequentail`, you may directly use them instead of implementing by yourself. `build_model_from_cfg` is also implemented to build PyTorch module in `nn.Sequential`, you may directly use them instead of implementing by yourself.
``` ```
### Hierarchy Registry ### Hierarchy Registry
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...@@ -86,7 +86,7 @@ CONVERTERS = Registry('converter', build_func=build_converter) ...@@ -86,7 +86,7 @@ CONVERTERS = Registry('converter', build_func=build_converter)
该功能类似于默认的`build_from_cfg`。在大多数情况下,默认就足够了。 该功能类似于默认的`build_from_cfg`。在大多数情况下,默认就足够了。
``` ```
`build_model_from_cfg`也实现了在`nn.Sequentail`中构建PyTorch模块,你可以直接使用它们。 `build_model_from_cfg`也实现了在`nn.Sequential`中构建PyTorch模块,你可以直接使用它们。
### 注册器层结构 ### 注册器层结构
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