code: def test_initialize_power_batch(self):
      kernel = DownsamplingKernel(batch_shape=torch.Size([2]))
      power_init = torch.tensor([1.0, 2.0])
      kernel.initialize(power=power_init)
      actual_value = power_init.view_as(kernel.power)
      self.assertLess(
          torch.linalg.norm(kernel.power - actual_value), 1e-5
      )
  
imports: import torch
  from botorch.models.kernels.downsampling import DownsamplingKernel
  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 14 for calling the TestDownsamplingKernel obj's underlying member method code with example usage: obj.test_initialize_power_batch() without return types