Normalize.__init__() missing 1 required positional argument: 'std'

引用[1]:出现错误：Traceback (most recent call last): File "D:\ProgramFiles\Pytorch-Basic-GANs-master\Pytorch-Basic-GANs-master\vanilla_gan.py", line 95, in <module> convert_model(single_model="model.pth") TypeError: convert_model() missing 1 required positional argument: 'para_model'。[1]这个错误是因为在调用convert_model函数时，缺少了一个必需的参数para_model。引用[2]:出现这种错误，就是class中init函数中的参数没有赋值。[2]在这个例子中，ff类的初始化函数__init__缺少了一个参数n的赋值，导致在创建实例a时出现错误。正确的做法是在创建实例a时传入参数，例如a = ff(1)。引用[3]:ValueError: Using a target size (torch.Size([64])) that is different to the input size (torch.Size([192, 1])) is deprecated.添加：validity = validity.squeeze(-1) ValueError: Using a target size (torch.Size([64])) that is different to the input size (torch.Size([192])) is deprecated.实验之后发现batch_size与input size成3倍关系，尝试除3：z = torch.randn([batch_size/3, z_dim]).to(device) 错误：TypeError: randn(): argument 'size' (position 1) must be tuple of ints, not list。[3]这个错误是因为torch.randn函数的参数size需要传入一个元组(tuple)，而不是一个列表(list)。正确的做法是将参数size改为一个元组，例如z = torch.randn((batch_size/3, z_dim)).to(device)。问题:Normalize.__init__() missing 1 required positional argument: 'std'。