遇到问题EGNet(6)：

def forward里面的内容不显示吗&＃xff1f;当调用vgg的是后会显示&＃xff0c;默认是resnet

class vgg16(nn.Module):def __init__(self):super(vgg16, self).__init__()self.cfg &＃61; {&＃39;tun&＃39;: [64, 64, &＃39;M&＃39;, 128, 128, &＃39;M&＃39;, 256, 256, 256, &＃39;M&＃39;, 512, 512, 512, &＃39;M&＃39;, 512, 512, 512, &＃39;M&＃39;],&＃39;tun_ex&＃39;: [512, 512, 512]}self.extract &＃61; [8, 15, 22, 29] # feature map in &＃39;tun&＃39; -> c(2), c(3), c(4), c(5) # [3, 8, 15, 22, 29]self.extract_ex &＃61; [5]self.base &＃61; nn.ModuleList(vgg(self.cfg[&＃39;tun&＃39;], 3))self.base_ex &＃61; vgg_ex(self.cfg[&＃39;tun_ex&＃39;], 512)# init paramiterfor m in self.modules():if isinstance(m, nn.Conv2d):n &＃61; m.kernel_size[0] * m.kernel_size[1] * m.out_channelsm.weight.data.normal_(0, 0.01)elif isinstance(m, nn.BatchNorm2d):m.weight.data.fill_(1)m.bias.data.zero_()def load_pretrained_model(self, model):self.base.load_state_dict(model)def forward(self, x, multi&＃61;0):tmp_x &＃61; []# through the &＃39;tun&＃39; layer by layerfor k in range(len(self.base)): # &＃39;tun&＃39; 37 layer -> 64 64, 128 128, 256 256 256, 512 512 512, 512 512 512print(&＃39;&＃61;>len(self.base)&＃39;, len(self.base)) # not show ???x &＃61; self.base[k](x) # get new x through every layer in &＃39;tun&＃39;if k in self.extract: # feature map in &＃39;tun&＃39; -> c(2), c(3), c(4), c(5) -> self.extract &＃61; [8, 15, 22, 29]tmp_x.append(x)x &＃61; self.base_ex(x) # &＃39;tun_ex&＃39; layer -> 512 512 512tmp_x.append(x) # # feature map in &＃39;tun_ex&＃39; -> c(6)if multi &＃61;&＃61; 1:tmp_y &＃61; []tmp_y.append(tmp_x[0]) # feature map in &＃39;tun&＃39; -> c(2)return tmp_yelse:return tmp_x