code: def test_no_batch_kernel_double_batch_x_no_ard(self):
      kernel = self.create_kernel_no_ard(batch_shape=torch.Size([]))
      x = self.create_data_double_batch()
      batch_covar_mat = kernel(x).evaluate_kernel().to_dense()
  
      ij_actual_covars = []
      for i in range(x.size(0)):
          i_actual_covars = []
          for j in range(x.size(1)):
              i_actual_covars.append(
                  kernel(x[i, j]).evaluate_kernel().to_dense()
              )
          ij_actual_covars.append(
              torch.cat([ac.unsqueeze(0) for ac in i_actual_covars])
          )
  
      actual_covar_mat = torch.cat(
          [ac.unsqueeze(0) for ac in ij_actual_covars]
      )
  
      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 10 for calling the BaseKernelTestCase obj's underlying member method code with example usage: obj.test_no_batch_kernel_double_batch_x_no_ard() without return types