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)
  
file_path: gpytorch/test/examples/test_independent_multitask_gp_regression.py
imports: import math
  import os
  import random
  import unittest
  import torch
  from torch import optim
  import gpytorch
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.kernels import RBFKernel, ScaleKernel
  from gpytorch.likelihoods import MultitaskGaussianLikelihood
  from gpytorch.means import ConstantMean
label_desc: Use image node_id 1 for calling the TestIndependentMultitaskGPRegression obj's underlying member method code with example usage: obj.setUp() without return types