code: def setUp(self):
      if (
          os.getenv("UNLOCK_SEED") is None
          or os.getenv("UNLOCK_SEED").lower() == "false"
      ):
          self.rng_state = torch.get_rng_state()
          torch.manual_seed(0)
          if torch.cuda.is_available():
              torch.cuda.manual_seed_all(0)
          random.seed(0)
  
imports: import os
  import random
  import unittest
  from math import pi
  import torch
  import gpytorch
  from gpytorch.distributions import MultitaskMultivariateNormal
  from gpytorch.kernels import GridInterpolationKernel, MultitaskKernel, RBFKernel
  from gpytorch.likelihoods import MultitaskGaussianLikelihood
  from gpytorch.means import ConstantMean, MultitaskMean
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 1 for calling the TestKroneckerMultiTaskKISSGPRegression obj's underlying member method code with example usage: obj.setUp() without return types