def __init__()

in models_all.py [0:0]


    def __init__(self, kernel=None, normalize=True, flip=False, stride=1):
        super(BlurLayer, self).__init__()
        if kernel is None:
            kernel = [1, 2, 1]
        kernel = torch.tensor(kernel, dtype=torch.float32)
        kernel = kernel[:, None] * kernel[None, :]
        kernel = kernel[None, None]
        if normalize:
            kernel = kernel / kernel.sum()
        if flip:
            kernel = kernel[:, :, ::-1, ::-1]
        self.register_buffer("kernel", kernel)
        self.stride = stride