def _create_pairwise_gaussian_2d(sx, sy, shape):
    """
    A simple reference implementation for the 2D case. The ND implementation
    is faster.
    """
    feat_size = 2
    feats = np.zeros((feat_size, shape[0], shape[1]), dtype=np.float32)
    for i in range(shape[0]):
        for j in range(shape[1]):
            feats[0, i, j] = i / sx
            feats[1, i, j] = j / sy
    return feats.reshape([feat_size, -1])
A simple reference implementation for the 2D case. The ND implementation
    is faster.