code: def test_kernel_batch(self):
      a = torch.tensor(
          [[[1, 2, 3], [2, 4, 0]], [[-1, 1, 2], [2, 1, 4]]],
          dtype=torch.float,
      )
      b = torch.tensor(
          [[[1, 3, 1]], [[2, -1, 0]]], dtype=torch.float
      ).repeat(1, 2, 1)
  
      kernel = RBFKernelGrad()
      res = kernel(a, b).to_dense()
  
      # Compute each batch separately
      actual = torch.zeros(2, 8, 8)
      actual[0, :, :] = kernel(
          a[0, :, :].squeeze(), b[0, :, :].squeeze()
      ).to_dense()
      actual[1, :, :] = kernel(
          a[1, :, :].squeeze(), b[1, :, :].squeeze()
      ).to_dense()
  
      self.assertLess(torch.norm(res - actual), 1e-5)
  
file_path: gpytorch/test/kernels/test_rbf_kernel_grad.py
imports: import unittest
  import torch
  from gpytorch.kernels import RBFKernelGrad
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 5 for calling the TestRBFKernelGrad obj's underlying member method code with example usage: obj.test_kernel_batch() without return types