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_lmc_svgp_regression.py
imports: import math
  import os
  import random
  import unittest
  import torch
  import gpytorch
  from gpytorch.likelihoods import GaussianLikelihood, MultitaskGaussianLikelihood
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