docstr: Indexing was wrong when the kernel had more batch dimensions than the
  data
docstr_tok: ["Indexing","was","wrong","when","the","kernel","had","more","batch","dimensions","than","the","data"]
code: def test_batch_getitem(self):
      """Indexing was wrong when the kernel had more batch dimensions than the
      data"""
      x1 = torch.randn(5, 6)
      x2 = torch.randn(5, 6)
      kern = gpytorch.kernels.RBFKernel(batch_shape=torch.Size([2]))
      k = kern(x1, x2)
      self.assertEqual(k.size(), torch.Size([2, 5, 5]))
      self.assertEqual(k[..., :4, :3].size(), torch.Size([2, 4, 3]))
  
imports: import math
  import unittest
  from unittest.mock import MagicMock, patch
  import linear_operator
  import torch
  from linear_operator import to_dense
  from linear_operator.test.linear_operator_test_case import LinearOperatorTestCase
  import gpytorch
label_desc: Use image node_id 6 for calling the TestLazyEvaluatedKernelTensorBatch obj's underlying member method code with example usage: obj.test_batch_getitem() without return types