22e535e23b4c2e95e7e72198ae98c7e0d4ac8c18,eval_lm.py,,main,#Any#,35

Before Change

    models, args = utils.load_ensemble_for_inference(parsed_args.path.split(":"), task)

    args.__dict__.update(parsed_args.__dict__)
    print(args)

    task.args = args

    // Load dataset splits

After Change

    for arg in vars(parsed_args).keys():
        if arg not in {"self_target", "future_target", "past_target", "tokens_per_sample", "output_size_dictionary"}:
            setattr(args, arg, getattr(parsed_args, arg))
    task = tasks.setup_task(args)

    // Load dataset splits
    task.load_dataset(args.gen_subset)
    print("| {} {} {} examples".format(args.data, args.gen_subset, len(task.dataset(args.gen_subset))))

Instances