aiops/ContraLSP/switchstate/ab_both.py [174:220]:
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            "gate_mask",# tensor(14289.1562) tensor(0.4865, grad_fn=<MeanBackward0>) tensor(0.0310, gra>) 1.1 1 tensor(0.1030, grad_fn=<MseLossBackward0>)
        ],
        nargs="+",
        metavar="N",
        help="List of explainer to use.",
    )
    parser.add_argument(
        "--device",
        type=str,
        default="cpu",
        help="Which device to use.",
    )
    parser.add_argument(
        "--fold",
        type=int,
        default=1,
        help="Fold of the cross-validation.",
    )
    parser.add_argument(
        "--seed",
        type=int,
        default=42,
        help="Random seed for data generation.",
    )
    parser.add_argument(
        "--train",
        type=bool,
        default=False,
        help="Train the rnn classifier.",
    )
    parser.add_argument(
        "--deterministic",
        action="store_true",
        help="Whether to make training deterministic or not.",
    )
    parser.add_argument(
        "--lambda-1",
        type=float,
        default=1,
        help="Lambda 1 hyperparameter.",
    )
    parser.add_argument(
        "--lambda-2",
        type=float,
        default=2,
        help="Lambda 2 hyperparameter.",
    )
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aiops/ContraLSP/switchstate/main.py [386:432]:
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            "gate_mask",# tensor(14289.1562) tensor(0.4865, grad_fn=<MeanBackward0>) tensor(0.0310, gra>) 1.1 1 tensor(0.1030, grad_fn=<MseLossBackward0>)
        ],
        nargs="+",
        metavar="N",
        help="List of explainer to use.",
    )
    parser.add_argument(
        "--device",
        type=str,
        default="cpu",
        help="Which device to use.",
    )
    parser.add_argument(
        "--fold",
        type=int,
        default=1,
        help="Fold of the cross-validation.",
    )
    parser.add_argument(
        "--seed",
        type=int,
        default=42,
        help="Random seed for data generation.",
    )
    parser.add_argument(
        "--train",
        type=bool,
        default=False,
        help="Train the rnn classifier.",
    )
    parser.add_argument(
        "--deterministic",
        action="store_true",
        help="Whether to make training deterministic or not.",
    )
    parser.add_argument(
        "--lambda-1",
        type=float,
        default=1,
        help="Lambda 1 hyperparameter.",
    )
    parser.add_argument(
        "--lambda-2",
        type=float,
        default=2,
        help="Lambda 2 hyperparameter.",
    )
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