code: def get_loss_closure(
      mll: MarginalLogLikelihood,
      data_loader: Optional[DataLoader] = None,
      **kwargs: Any,
  ) -> Callable[[], Tensor]:
      r"""Public API for GetLossClosure dispatcher.
  
      This method, and the dispatcher that powers it, acts as a clearing house
      for factory functions that define how `mll` is evaluated.
  
      Users may specify custom evaluation routines by registering a factory function
      with GetLossClosure. These factories should be registered using the type signature
  
          `Type[MarginalLogLikeLihood], Type[Likelihood], Type[Model], Type[DataLoader]`.
  
      The final argument, Type[DataLoader], is optional. Evaluation routines that obtain
      training data from, e.g., `mll.model` should register this argument as `type(None)`.
  
      Args:
          mll: A MarginalLogLikelihood instance whose negative defines the loss.
          data_loader: An optional DataLoader instance for cases where training
              data is passed in rather than obtained from `mll.model`.
  
      Returns:
          A closure that takes zero positional arguments and returns the negated
          value of `mll`.
      """
      return GetLossClosure(
          mll,
          type(mll.likelihood),
          type(mll.model),
          data_loader,
          **kwargs,
      )
  
file_path: botorch/botorch/optim/closures/model_closures.py
imports: from __future__ import annotations
  from itertools import chain, repeat
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple
  from botorch.optim.closures.core import ForwardBackwardClosure
  from botorch.utils.dispatcher import Dispatcher, type_bypassing_encoder
  from botorch.utils.types import NoneType
  from gpytorch.mlls import ExactMarginalLogLikelihood, MarginalLogLikelihood, SumMarginalLogLikelihood
  from torch import Tensor
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: get_loss_closure(mll, data_loader) and returns: GetLossClosure