train-classif.py [21:41]:
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warnings.filterwarnings("ignore", "(Possibly )?corrupt EXIF data", UserWarning)
warnings.filterwarnings("ignore", "Metadata Warning, tag [0-9]+ had too many entries", UserWarning)


def get_parser():
    """
    Generate a parameters parser.
    """
    # parse parameters
    parser = argparse.ArgumentParser(description='Language transfer')

    # main parameters
    parser.add_argument("--dump_path", type=str, default="")
    parser.add_argument("--exp_name", type=str, default="bypass")
    parser.add_argument("--save_periodic", type=int, default=0)
    parser.add_argument("--exp_id", type=str, default="")
    parser.add_argument("--nb_workers", type=int, default=10)
    parser.add_argument("--fp16", type=bool_flag, default=False)

    # dataset
    parser.add_argument("--dataset", type=str, default="cifar10")
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train-distillation.py [21:41]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
warnings.filterwarnings("ignore", "(Possibly )?corrupt EXIF data", UserWarning)
warnings.filterwarnings("ignore", "Metadata Warning, tag [0-9]+ had too many entries", UserWarning)


def get_parser():
    """
    Generate a parameters parser.
    """
    # parse parameters
    parser = argparse.ArgumentParser(description='Language transfer')

    # main parameters
    parser.add_argument("--dump_path", type=str, default="")
    parser.add_argument("--exp_name", type=str, default="bypass")
    parser.add_argument("--save_periodic", type=int, default=0)
    parser.add_argument("--exp_id", type=str, default="")
    parser.add_argument("--nb_workers", type=int, default=10)
    parser.add_argument("--fp16", type=bool_flag, default=False)

    # dataset
    parser.add_argument("--dataset", type=str, default="cifar10")
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