我使用的是一个经过修改的Resnet18,在Resnet的末尾具有自己的池函数。
这是我的代码:
resnet = resnet18().cuda() #a modified resnet
class Model():
def __init__(self, model, pool):
self.model = model
self.pool= pool #my own pool class which has trainable layers
def forward(self, sample):
output = self.model(sample)
output = self.pool(output)
output = F.normalize(output, p=2, dim=1)
return output现在,显然我需要训练的不仅仅是resnet部分,还有池部分。
但是,当我检查:
model = Model(model=resnet, pool= pool)
print(list(model.parameters()))它规定:
AttributeError: 'Model' object has no attribute 'parameters'有人能帮忙吗?
发布于 2021-05-26 14:27:58
您需要Model继承torch.nn.Module
class Model(torch.nn.Module):
def __init__(self, model, pool):
super(Model, self).__init__()
...https://stackoverflow.com/questions/67706793
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