def weights_init_normal(m):
    classname = m.__class__.__name__
    if (classname.find('Conv') != (- 1)):
        init.normal_(m.weight.data, 0.0, 0.02)
    elif (classname.find('Linear') != (- 1)):
        init.normal(m.weight.data, 0.0, 0.02)
    elif (classname.find('BatchNorm2d') != (- 1)):
        init.normal_(m.weight.data, 1.0, 0.02)
        init.constant_(m.bias.data, 0.0)
def weights_init_normal(m):
    classname = m.__class__.__name__
    if (classname.find('Conv') != (- 1)):
        init.normal_(m.weight.data, 0.0, 0.02)
    elif (classname.find('Linear') != (- 1)):
        init.normal(m.weight.data, 0.0, 0.02)
    elif (classname.find('BatchNorm2d') != (- 1)):
        init.normal_(m.weight.data, 1.0, 0.02)
        init.constant_(m.bias.data, 0.0)