ModuleNotFoundError: No module named 'mmengine.models'

[hitbuyi]

envs:  
os : windows
mmcv                          2.1.0
mmdet                         3.2.0
mmdet3d                       1.4.0
mmengine                      0.10.3
mmsegmentation                1.2.2

Here my code taken from official website

from mmengine import Registry
import torch.nn as nn
# scope 表示注册器的作用域，如果不设置，默认为包名，例如在 mmdetection 中，它的 scope 为 mmdet
# locations 表示注册在此注册器的模块所存放的位置，注册器会根据预先定义的位置在构建模块时自动 import
ACTIVATION = Registry('activation', scope='mmengine', locations=['mmengine.models.activations'])

#import torch.nn as nn

# 使用注册器管理模块
@ACTIVATION.register_module()
class Sigmoid(nn.Module):
    def __init__(self):
        super().__init__()

    def forward(self, x):
        print('call Sigmoid.forward')
        return x

@ACTIVATION.register_module()
class ReLU(nn.Module):
    def __init__(self, inplace=False):
        super().__init__()

    def forward(self, x):
        print('call ReLU.forward')
        return x

@ACTIVATION.register_module()
class Softmax(nn.Module):
    def __init__(self):
        super().__init__()

    def forward(self, x):
        print('call Softmax.forward')
        return x

print(ACTIVATION.module_dict)


import torch

input = torch.randn(2)

act_cfg = dict(type='Sigmoid')
activation = ACTIVATION.build(act_cfg)  # error, ModuleNotFoundError: No module named 'mmengine.models'  
output = activation(input)
# call Sigmoid.forward
print(output)

An error happened, indicate ModuleNotFoundError: No module named 'mmengine.models', what is the wrong with mmengine?

[xufai1999]

ACTIVATION = Registry('activation', scope='mmengine', locations=['mmengine.model'])