code: def test_fixed_noise_fantasy_updates_batch_cuda(self):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_fixed_noise_fantasy_updates_batch(cuda=True)
  
imports: import unittest
  from math import exp, pi
  import torch
  from torch import optim
  import gpytorch
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.kernels import RBFKernel, ScaleKernel
  from gpytorch.likelihoods import FixedNoiseGaussianLikelihood
  from gpytorch.likelihoods.noise_models import FixedGaussianNoise
  from gpytorch.means import ConstantMean
  from gpytorch.priors import SmoothedBoxPrior
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 4 for calling the TestFixedNoiseFantasies obj's underlying member method code with example usage: obj.test_fixed_noise_fantasy_updates_batch_cuda() without return types