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[Doc] delete the error comment in docs (#514)

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docs/zh_cn/tutorials/registry.md
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@ -92,7 +92,6 @@ activation = ACTIVATION.build(act_cfg)
output = activation(input) output = activation(input)
# call Sigmoid.forward # call Sigmoid.forward
print(output) print(output)
# tensor([0.0159, 0.0815])
``` ```
如果我们想使用 `ReLU`，仅需修改配置。 如果我们想使用 `ReLU`，仅需修改配置。
@ -103,7 +102,6 @@ activation = ACTIVATION.build(act_cfg)
output = activation(input) output = activation(input)
# call Sigmoid.forward # call Sigmoid.forward
print(output) print(output)
# tensor([0.0159, 0.0815])
``` ```
如果我们希望在创建实例前检查输入参数的类型（或者任何其他操作），我们可以实现一个构建方法并将其传递给注册器从而实现自定义构建流程。 如果我们希望在创建实例前检查输入参数的类型（或者任何其他操作），我们可以实现一个构建方法并将其传递给注册器从而实现自定义构建流程。
@ -141,7 +139,6 @@ output = activation(input)
# build activation: Tanh # build activation: Tanh
# call Tanh.forward # call Tanh.forward
print(output) print(output)
# tensor([0.0159, 0.0815])
``` ```
```{note} ```{note}
@ -262,7 +259,6 @@ input = torch.randn(2)
output = model(input) output = model(input)
# call RReLU.forward # call RReLU.forward
print(output) print(output)
# tensor([-1.5774, -0.5850])
``` ```
### 调用兄弟节点的模块 ### 调用兄弟节点的模块
@ -289,7 +285,6 @@ model = MODELS.build(cfg=dict(type='mmalpha.LogSoftmax'))
output = model(input) output = model(input)
# call LogSoftmax.forward # call LogSoftmax.forward
print(output) print(output)
# tensor([-1.5774, -0.5850])
``` ```
调用兄弟节点的模块需要在 `type` 中指定 `scope` 前缀，所以上面的配置需要加前缀 `mmalpha`。 调用兄弟节点的模块需要在 `type` 中指定 `scope` 前缀，所以上面的配置需要加前缀 `mmalpha`。
@ -303,5 +298,4 @@ model = MODELS.build(cfg=dict(type='LogSoftmax', _scope_='mmalpha'))
output = model(input) output = model(input)
# call LogSoftmax.forward # call LogSoftmax.forward
print(output) print(output)
# tensor([-1.5774, -0.5850])
``` ```