code: def get_data(self, shapes, dtype=None, device=None):
      train_x = torch.rand(
          *shapes, dtype=dtype, device=device, requires_grad=True
      )
      train_y = torch.sin(train_x[..., 0]) + torch.cos(train_x[..., 1])
      likelihood = gpytorch.likelihoods.GaussianLikelihood().to(
          dtype=dtype, device=device
      )
      model = ExactGPModel(train_x, train_y, likelihood).to(
          dtype=dtype, device=device
      )
      loocv = gpytorch.mlls.LeaveOneOutPseudoLikelihood(
          likelihood=likelihood, model=model
      )
      return train_x, train_y, loocv
  
file_path: gpytorch/test/mlls/test_leave_one_out_pseudo_likelihood.py
imports: import math
  import unittest
  import torch
  import gpytorch
label_desc: Use image node_id 1 for calling the TestLeaveOneOutPseudoLikelihood obj's underlying member method code with example usage: obj.get_data(shapes, dtype, device) and returns: train_x,  train_y,  loocv