code: def forward(self, *args, **kwargs):
      if "noise" in kwargs:
          noise = kwargs.pop("noise")
          # if noise kwarg is passed, assume it's an iterable of noise tensors
          return [
              likelihood.forward(*args_, {**kwargs, "noise": noise_})
              for likelihood, args_, noise_ in length_safe_zip(
                  self.likelihoods, _get_tuple_args_(*args), noise
              )
          ]
      else:
          return [
              likelihood.forward(*args_, **kwargs)
              for likelihood, args_ in length_safe_zip(
                  self.likelihoods, _get_tuple_args_(*args)
              )
          ]
  
file_path: gpytorch/gpytorch/likelihoods/likelihood_list.py
imports: from torch.nn import ModuleList
  from gpytorch.likelihoods import Likelihood
  from gpytorch.utils.generic import length_safe_zip
label_desc: Use image node_id 3 for calling the LikelihoodList obj's underlying member method code with example usage: obj.forward() and returns: unknown, unknown