code: def strategy_cls(self):
      def _batch_dim_strategy_cls(
          model,
          inducing_points,
          variational_distribution,
          learn_inducing_locations,
      ):
          return gpytorch.variational.BatchDecoupledVariationalStrategy(
              model,
              inducing_points,
              variational_distribution,
              learn_inducing_locations,
              mean_var_batch_dim=-2,
          )
  
      return _batch_dim_strategy_cls
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.test.variational_test_case import VariationalTestCase
label_desc: Use image node_id 2 for calling the TestBatchDecoupledVariationalGPOtherBatchDim obj's underlying member method code with example usage: obj.strategy_cls() and returns: _batch_dim_strategy_cls, gpytorch