code: def test_repr(self):
      mean = torch.randn(5, 1, 3)
      covar = torch.eye(6)
      dist = MultitaskMultivariateNormal(mean, covar)
      dist_repr = str(dist)
      self.assertEqual(
          dist_repr,
          "MultitaskMultivariateNormal(mean shape: torch.Size([5, 2, 3]))",
      )
  
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 24 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.test_repr() without return types