def load_data(point_cloud_batch, label_cloud_batch, NUM_SAMPLE_POINTS=1024, LABELS=['wing', 'body', 'tail', 'engine']):
    """
    load randomly selected points from point cloud batch
    Parameters: 
        point_cloud_batch (np array): numpy array of each point cloud expreseed in (x, y, z) format
        label_cloud_batch (int): label of point clouds to assign for augmented points
        NUM_SAMPLE_POINTS (int): sample size by default which is 1024
    Returns: 
        sampled point_cloud_batch, sampled label_cloud_batch
    """
    point_cloud_batch.set_shape([NUM_SAMPLE_POINTS, 3])
    label_cloud_batch.set_shape([NUM_SAMPLE_POINTS, len(LABELS) + 1])
    return point_cloud_batch, label_cloud_batch