code: def test_initialize_offset_batch(self):
      kernel = ExponentialDecayKernel(batch_shape=torch.Size([2]))
      off_init = torch.tensor([1.0, 2.0])
      kernel.initialize(offset=off_init)
      actual_value = off_init.view_as(kernel.offset)
      self.assertLess(
          torch.linalg.norm(kernel.offset - actual_value), 1e-5
      )
  
imports: import torch
  from botorch.models.kernels.exponential_decay import ExponentialDecayKernel
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.priors.torch_priors import GammaPrior, NormalPrior
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 9 for calling the TestExponentialDecayKernel obj's underlying member method code with example usage: obj.test_initialize_offset_batch() without return types