code: def test_posterior_latent_gp_and_likelihood_with_optimization_cuda(
      self,
  ):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_posterior_latent_gp_and_likelihood_with_optimization(
                  cuda=True
              )
  
imports: import unittest
  import warnings
  from math import exp, pi
  import torch
  from torch import optim
  import gpytorch
  from gpytorch.constraints import Positive
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.kernels import RBFKernel, ScaleKernel
  from gpytorch.likelihoods import GaussianLikelihood
  from gpytorch.means import ConstantMean
  from gpytorch.priors import SmoothedBoxPrior, UniformPrior
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 15 for calling the TestSimpleGPRegression obj's underlying member method code with example usage: obj.test_posterior_latent_gp_and_likelihood_with_optimization_cuda() without return types