code: def test_initialize_outputscale_batch(self):
      kernel = ScaleKernel(RBFKernel(), batch_shape=torch.Size([2]))
      ls_init = torch.tensor([3.14, 4.13])
      kernel.initialize(outputscale=ls_init)
      actual_value = ls_init.view_as(kernel.outputscale)
      self.assertLess(
          torch.norm(kernel.outputscale - actual_value), 1e-5
      )
  
imports: import pickle
  import unittest
  import torch
  from gpytorch.kernels import LinearKernel, RBFKernel, ScaleKernel
  from gpytorch.priors import NormalPrior
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 6 for calling the TestScaleKernel obj's underlying member method code with example usage: obj.test_initialize_outputscale_batch() without return types