code: def test_to_data_independent_dist_no_interleave(
      self, dtype=torch.float, device="cpu"
  ):
      return self.test_to_data_independent_dist(
          dtype=dtype, device=device, interleaved=False
      )
  
imports: import math
  import os
  import random
  import unittest
  import torch
  from linear_operator.operators import DiagLinearOperator, KroneckerProductLinearOperator
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 16 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.test_to_data_independent_dist_no_interleave(dtype, device) and returns: self