old_contents: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  
  from .kernel import Kernel
  from .multitask_kernel import MultitaskKernel
  
  
  class LCMKernel(Kernel):
      """
      This kernel supports the LCM kernel.
      """
      def __init__(self, base_kernel_list, n_tasks, rank=1, task_covar_prior=None):
          """
          Args:
          """
          if len(base_kernel_list) < 1:
              raise ValueError('At least one base kernel must be provided.')
          super(LCMKernel, self).__init__()
          self.base_kernel_list = base_kernel_list
          self.lcm_size = len(base_kernel_list)
          self.covar_module_list = [None] * self.lcm_size
          for i in range(self.lcm_size):
              self.covar_module_list[i] = MultitaskKernel(self.base_kernel_list[i],
                                                          n_tasks=n_tasks, rank=1,
                                                          task_covar_prior=task_covar_prior)
  
      def forward_diag(self, x1, x2):
          """
          Args:
          """
          res = self.covar_module_list[0].forward_diag(x1, x2)
          for i in range(1, self.lcm_size):
              res += self.covar_module_list[i].forward_diag(x1, x2)
          return res
  
      def forward(self, x1, x2):
          """
          Args:
          """
          covar_x = self.covar_module_list[0](x1, x2)
          for i in range(1, self.lcm_size):
              covar_x += self.covar_module_list[i](x1, x2)
          return covar_x
  
new_contents: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  
  from torch.nn import ModuleList
  from gpytorch.kernels.kernel import Kernel
  from gpytorch.kernels.multitask_kernel import MultitaskKernel
  
  
  class LCMKernel(Kernel):
      """
      This kernel supports the LCM kernel.
      """
      def __init__(self, base_kernels, n_tasks, rank=1, task_covar_prior=None):
          """
          Args:
          """
          if len(base_kernels) < 1:
              raise ValueError('At least one base kernel must be provided.')
          for k in base_kernels:
              if not isinstance(k, Kernel):
                  raise ValueError("base_kernels must only contain Kernel objects")
          super(LCMKernel, self).__init__()
          self.covar_module_list = ModuleList([
              MultitaskKernel(base_kernel, n_tasks=n_tasks, rank=rank, task_covar_prior=task_covar_prior)
              for base_kernel in base_kernels
          ])
  
      def forward_diag(self, x1, x2):
          """
          Args:
          """
          res = self.covar_module_list[0].forward_diag(x1, x2)
          for m in self.covar_module_list[1:]:
              res += m.forward_diag(x1, x2)
          return res
  
      def forward(self, x1, x2):
          """
          Args:
          """
          res = self.covar_module_list[0].forward(x1, x2)
          for m in self.covar_module_list[1:]:
              res += m.forward(x1, x2)
          return res
  
subject: Clean up of code