code: def test_no_batch_kernel_single_batch_x_no_ard(self):
      kernel = self.create_kernel_no_ard()
      x = self.create_data_single_batch()
      batch_covar_mat = kernel(x).evaluate_kernel().to_dense()
  
      actual_mat_1 = kernel(x[0]).evaluate_kernel().to_dense()
      actual_mat_2 = kernel(x[1]).evaluate_kernel().to_dense()
      actual_covar_mat = torch.cat(
          [actual_mat_1.unsqueeze(0), actual_mat_2.unsqueeze(0)]
      )
  
      self.assertAllClose(
          batch_covar_mat, actual_covar_mat, rtol=1e-3, atol=1e-5
      )
  
      # Test diagonal
      kernel_diag = kernel(x, diag=True)
      actual_diag = actual_covar_mat.diagonal(dim1=-1, dim2=-2)
      self.assertAllClose(
          kernel_diag, actual_diag, rtol=1e-3, atol=1e-5
      )
  
imports: import pickle
  from abc import abstractmethod
  import torch
  from .base_test_case import BaseTestCase
label_desc: Use image node_id 8 for calling the BaseKernelTestCase obj's underlying member method code with example usage: obj.test_no_batch_kernel_single_batch_x_no_ard() without return types