TypeError:Input max_val type is not a float. Got <class 'str'>.

[fairytalell]

I used my mini-dataset. When I ran train.py, I got the error.
Later, I found kornia.losses.ssim() parameter type is not correct in class SSIM.

source code:
class SSIM(nn.Module):
def init(self, window_size=11):
super(SSIM, self).init()
self.window_size = window_size

def forward(self, x, y):
    if x.shape[1] == 3:
        x = kornia.color.rgb_to_grayscale(x)
    if y.shape[1] == 3:
        y = kornia.color.rgb_to_grayscale(y)
    return 1 - kornia.losses.ssim(x, y, self.window_size, 'mean')

kornia library requires max_val is float instead of str,i.e.,'mean'.
What's wrong with me, please? Or is there a problem with the source code?

My environment is：
kornia 0.5.8
python 3.7.0
pytorch 1.7.0

[HarshWinterBytes]

I also met this problem! Could you please tell me how to slove it?

[fairytalell]

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