(self, tensor, lbl)
return F.normalize(tensor, self.mean, self.std), lbl
Args:
            tensor (Tensor): Tensor image of size (C, H, W) to be normalized.
            tensor (Tensor): Tensor of label. A dummy input for ExtCompose
        Returns:
            Tensor: Normalized Tensor image.
            Tensor: Unchanged Tensor label
Args:
            tensor (Tensor): Tensor image of size (C, H, W) to be normalized.
            tensor (Tensor): Tensor of label. A dummy input for ExtCompose
        Returns:
            Tensor: Normalized Tensor image.
            Tensor: Unchanged Tensor label
Args : tensor ( Tensor ) : Tensor image of size ( C H W ) to be normalized . tensor ( Tensor ) : Tensor of label . A dummy input for ExtCompose Returns : Tensor : Normalized Tensor image . Tensor : Unchanged Tensor label
def __call__(self, tensor, lbl):
        """
        Args:
            tensor (Tensor): Tensor image of size (C, H, W) to be normalized.
            tensor (Tensor): Tensor of label. A dummy input for ExtCompose
        Returns:
            Tensor: Normalized Tensor image.
            Tensor: Unchanged Tensor label
        """
        return F.normalize(tensor, self.mean, self.std), lbl
def __call__ ( self , tensor , lbl ) : return F . normalize ( tensor , self . mean , self . std ) , lbl