blink/build_faiss_index.py [33:59]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    else:
        logger.info("Using Flat index in FAISS")
        index = DenseFlatIndexer(vector_size, index_buffer)

    logger.info("Building index.")
    index.index_data(candidate_encoding.numpy())
    logger.info("Done indexing data.")

    if params.get("save_index", None):
        index.serialize(output_path)


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--output_path",
        required=True,
        type=str,
        help="output file path",
    )
    parser.add_argument(
        "--candidate_encoding",
        default="models/all_entities_large.t7",
        type=str,
        help="file path for candidte encoding.",
    )
    parser.add_argument(
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



elq/build_faiss_index.py [32:58]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    else:
        logger.info("Using Flat index in FAISS")
        index = DenseFlatIndexer(vector_size, index_buffer)

    logger.info("Building index.")
    index.index_data(candidate_encoding.numpy())
    logger.info("Done indexing data.")

    if params.get("save_index", None):
        index.serialize(output_path)


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--output_path",
        required=True,
        type=str,
        help="output file path",
    )
    parser.add_argument(
        "--candidate_encoding",
        default="models/all_entities_large.t7",
        type=str,
        help="file path for candidte encoding.",
    )
    parser.add_argument(
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -