Can't get model.named_params() from ResNet32(MeataModule)

[hhc1997]

Here is the code:

    def __init__(self, num_classes, block=BasicBlock, num_blocks=[5, 5, 5]):
        super(ResNet32, self).__init__()
        self.in_planes = 16

        self.conv1 = MetaConv2d(3, 16, kernel_size=3, stride=1, padding=1, bias=False)
        self.bn1 = MetaBatchNorm2d(16)
        self.layer1 = self._make_layer(block, 16, num_blocks[0], stride=1)
        self.layer2 = self._make_layer(block, 32, num_blocks[1], stride=2)
        self.layer3 = self._make_layer(block, 64, num_blocks[2], stride=2)
        self.linear = MetaLinear(64, num_classes)

        self.apply(_weights_init)

    def _make_layer(self, block, planes, num_blocks, stride):
        strides = [stride] + [1]*(num_blocks-1)
        layers = []
        for stride in strides:
            layers.append(block(self.in_planes, planes, stride))
            self.in_planes = planes * block.expansion

        return nn.Sequential(*layers)

    def forward(self, x):
        out = F.relu(self.bn1(self.conv1(x)))
        out = self.layer1(out)
        out = self.layer2(out)
        out = self.layer3(out)
        out = F.avg_pool2d(out, out.size()[3])
        out = out.view(out.size(0), -1)
        out = self.linear(out)
        return out

model = ResNet32()```
When I use 
`for name, p in list(model.named_params()):`
it returns   'NoneType' object has no attribute '_parameters'

Thank you!

[ArkFun]

model.named_params(model)