Source code for baybe.objectives.botorch

"""BoTorch objectives."""

from botorch.acquisition.objective import MCAcquisitionObjective
from torch import Tensor

from baybe.utils.basic import compose




class ChainedMCObjective(MCAcquisitionObjective):
    """A chained Monte Carlo objective."""



    def __init__(self, *objectives: MCAcquisitionObjective) -> None:
        super().__init__()
        self.objectives = objectives




    def forward(self, samples: Tensor, X: Tensor | None = None) -> Tensor:  # noqa: D102
        return compose(*(o.forward for o in self.objectives))(samples, X)