base_model.py 文件源码

def U_weight_init(ms):
    for m in ms.modules():
        classname = m.__class__.__name__
        if classname.find('Conv2d') != -1:
            m.weight.data = init.kaiming_normal(m.weight.data, a=0.2)
        elif classname.find('ConvTranspose2d') != -1:
            m.weight.data = init.kaiming_normal(m.weight.data)
            print ('worked!')  # TODO: kill this
        elif classname.find('BatchNorm') != -1:
            m.weight.data.normal_(1.0, 0.02)
            m.bias.data.fill_(0)
        elif classname.find('Linear') != -1:
            m.weight.data = init.kaiming_normal(m.weight.data)