experiment_configs/imagenet/one_dimensional_subspaces/eval_lines.py [45:96]:
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        f"+beta={args.beta}"
        f"+num_samples={args.num_samples}"
        f"+seed={args.seed}"
    )

    # Now, analyze.

    args.resume = [
        f"learning-subspaces-results/imagenet/one-dimesnional-subspaces/{name_string}+try=0/"
        f"epoch_{args.epochs}_iter_{args.epochs * 5005}.pt"
    ] * 2

    args.num_models = 2
    args.save = False
    args.save_data = True
    args.pretrained = True
    args.epochs = 1
    args.trainer = "eval_one_dim_subspaces_multigpu"
    args.update_bn = False

    acc_data = {}
    for i, alpha0 in enumerate(
        [
            0.0,
            0.05,
            0.1,
            0.15,
            0.2,
            0.25,
            0.3,
            0.35,
            0.4,
            0.45,
            0.5,
            0.5,
            0.55,
            0.6,
            0.65,
            0.7,
            0.75,
            0.8,
            0.85,
            0.9,
            0.95,
            1.0,
        ]
    ):
        args.alpha0 = alpha0
        args.alpha1 = 1.0 - alpha0
        args.name = f"{name_string}+alpha0={args.alpha0}+alpha1={args.alpha1}"
        args.save_epochs = []
        run()
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experiment_configs/imagenet/one_dimensional_subspaces/eval_lines_layerwise.py [45:96]:
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        f"+beta={args.beta}"
        f"+num_samples={args.num_samples}"
        f"+seed={args.seed}"
    )

    # Now, analyze.

    args.resume = [
        f"learning-subspaces-results/imagenet/one-dimesnional-subspaces/{name_string}+try=0/"
        f"epoch_{args.epochs}_iter_{args.epochs * 5005}.pt"
    ] * 2

    args.num_models = 2
    args.save = False
    args.save_data = True
    args.pretrained = True
    args.epochs = 1
    args.trainer = "eval_one_dim_subspaces_multigpu"
    args.update_bn = False

    acc_data = {}
    for i, alpha0 in enumerate(
        [
            0.0,
            0.05,
            0.1,
            0.15,
            0.2,
            0.25,
            0.3,
            0.35,
            0.4,
            0.45,
            0.5,
            0.5,
            0.55,
            0.6,
            0.65,
            0.7,
            0.75,
            0.8,
            0.85,
            0.9,
            0.95,
            1.0,
        ]
    ):
        args.alpha0 = alpha0
        args.alpha1 = 1.0 - alpha0
        args.name = f"{name_string}+alpha0={args.alpha0}+alpha1={args.alpha1}"
        args.save_epochs = []
        run()
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