code: def test_initialize_power_batch(self):
      kernel = LinearTruncatedFidelityKernel(
          fidelity_dims=[1, 2], dimension=3, batch_shape=torch.Size([2])
      )
      power_init = torch.tensor([1, 2], dtype=torch.float)
      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 itertools
  import torch
  from botorch.exceptions import UnsupportedError
  from botorch.models.kernels.linear_truncated_fidelity import LinearTruncatedFidelityKernel
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.kernels.matern_kernel import MaternKernel
  from gpytorch.kernels.rbf_kernel import RBFKernel
  from gpytorch.priors.torch_priors import GammaPrior, NormalPrior
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 10 for calling the TestLinearTruncatedFidelityKernel obj's underlying member method code with example usage: obj.test_initialize_power_batch() without return types