def __init__(self, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]):
    mean = torch.tensor(mean)
    std = torch.tensor(std)
    std_inv = (1 / (std + 1e-07))
    mean_inv = ((- mean) * std_inv)
    super().__init__(mean=mean_inv, std=std_inv)
def __init__(self, mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]):
    mean = torch.tensor(mean)
    std = torch.tensor(std)
    std_inv = (1 / (std + 1e-07))
    mean_inv = ((- mean) * std_inv)
    super().__init__(mean=mean_inv, std=std_inv)