请问为什么加载的权重是错的：RuntimeError: Error(s) in loading state_dict for MoGaA:

[nit-hmz]

#我在MoGa_A.py的末尾加上这几句话，如果备注#model.load_state_dict那么是可以正常运行的，但是加载权重就报错了
if name == 'main':
from torchsummary import summary
model = MoGaA()
model.load_state_dict(torch.load('MoGaA.pth.tar'))#加载权重
summary(model,(3,224,224))
#RuntimeError: Error(s) in loading state_dict for MoGaA:

Missing key(s) in state_dict: "stem.0.weight", "stem.1.weight", "stem.1.bias",

[JiangMei0201]

varify.py 的载入方式如下：
model_dict = torch.load('C:/Users/admin/Desktop/YOLOX-ShuffleNetv2/weights/MoGaC.pth.tar')
model.load_state_dict(model_dict["model_state"])

#我在MoGa_A.py的末尾加上这几句话，如果备注#model.load_state_dict那么是可以正常运行的，但是加载权重就报错了 if name == 'main': from torchsummary import summary model = MoGaA() model.load_state_dict(torch.load('MoGaA.pth.tar'))#加载权重 summary(model,(3,224,224)) #RuntimeError: Error(s) in loading state_dict for MoGaA:

Missing key(s) in state_dict: "stem.0.weight", "stem.1.weight", "stem.1.bias",