botorch/acquisition/input_constructors.py [829:843]:
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        objective=objective,
        posterior_transform=posterior_transform,
        **kwargs,
    )

    _bounds = torch.tensor(
        data=bounds,
        dtype=training_data.X.dtype,
        device=training_data.X.device,
    )

    _, current_value = optimize_objective(
        model=model,
        bounds=_bounds.t(),
        q=1,
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botorch/acquisition/input_constructors.py [910:924]:
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        objective=objective,
        posterior_transform=posterior_transform,
        **kwargs,
    )

    _bounds = torch.tensor(
        data=bounds,
        dtype=training_data.X.dtype,
        device=training_data.X.device,
    )

    _, current_value = optimize_objective(
        model=model,
        bounds=_bounds.t(),
        q=1,
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