def cutout_gaussian(x, areas):
    """Replace all `areas` in `x` with N(0,1) noise"""
    chan, img_h, img_w = x.shape[-3:]
    for rl, rh, cl, ch in areas:
        x[(...), rl:rh, cl:ch].normal_()
    return x
