code: def create_batch_test_data(self, batch_shape=torch.Size([3])):
      return torch.randn(*batch_shape, 50, 1)
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.models import ApproximateGP
  from gpytorch.test.model_test_case import VariationalModelTestCase
  from gpytorch.variational import CholeskyVariationalDistribution, VariationalStrategy
label_desc: Use image node_id 4 for calling the TestVariationalGP obj's underlying member method code with example usage: obj.create_batch_test_data(batch_shape) and returns: torch