def normalize_image(image, mean=127.5, std=127.5):
    """Normalizes image by subtracting mean and dividing std.

    Args:
        image: The input image tensor to normalize.
        mean: The mean value to subtract from the input tensor. (default: 127.5)
        std: The standard deviation to normalize the input tensor. (default:
            127.5)

    Returns:
        A normalized image tensor.

    Raises:
        TypeError: If the input `image` is not with type `torch.Tensor`.
    """
    if not isinstance(image, torch.Tensor):
        raise TypeError(f'Input image should be with type `torch.Tensor`, '
                        f'but `{type(image)}` is received!')
    out = (image - mean) / std
    return out
Normalizes image by subtracting mean and dividing std.

    Args:
        image: The input image tensor to normalize.
        mean: The mean value to subtract from the input tensor. (default: 127.5)
        std: The standard deviation to normalize the input tensor. (default:
            127.5)

    Returns:
        A normalized image tensor.

    Raises:
        TypeError: If the input `image` is not with type `torch.Tensor`.
    
datasets/transforms.py