f79d7166277fde0c9172b5e60865d5f45653f86c,parlai/scripts/train_model.py,,setup_args,#Any#,35

Before Change

                       help="Tensorboard logging of metrics")
    train.add_argument("-tbtag", "--tensorboard-tag", type=str, default=None,
                       help="Specify all opt keys which you want to be presented in in TB name")
    train.add_argument("-tbmetric", "--tensorboard-metric", type=str, default=None,
                       help="Specify metrics which you want to track, it will be extracrted from report dict.")
    parser = setup_dict_args(parser)
    return parser

def run_eval(agent, opt, datatype, max_exs=-1, write_log=False, valid_world=None):

After Change

    train.add_argument("-lfc", "--load-from-checkpoint",
                       type="bool", default=False,
                       help="load model from checkpoint if available")
    TensorboardLogger.add_cmdline_args(parser)
    parser = setup_dict_args(parser)
    return parser

def run_eval(agent, opt, datatype, max_exs=-1, write_log=False, valid_world=None):

Instances