code: 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=-1,
      )
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.test.variational_test_case import VariationalTestCase
label_desc: Use image node_id 3 for calling a global function with example usage: batch_dim_strategy_cls(model, inducing_points, variational_distribution, learn_inducing_locations) and returns: gpytorch