创建好后的模型，对Con2d, ConvTranspose2d ,以及归一化BatchNorm2d函数中的变量进行初始化

 def weights_init(m):
     classname = m.__class__.__name__
     if (classname.find('Conv2d') != -1) | (classname.find('ConvTranspose2d') != -1):
         m.weight.data.normal_(0.0, 0.02)
     elif classname.find('BatchNorm2d') != -1:
         m.weight.data.normal_(1.0, 0.02)
         m.bias.data.fill_(0)

# 定义模型
m = model()
m.cuda()
# 模型初始化
weights_init(m)