code: def test_model_error_stray_batch_dims(kernel, kwargs):
      def gmm():
          data = torch.tensor([0.0, 0.0, 3.0, 3.0, 3.0, 5.0, 5.0])
          mix_proportions = pyro.sample(
              "phi", dist.Dirichlet(torch.ones(3))
          )
          cluster_means = pyro.sample(
              "cluster_means", dist.Normal(torch.arange(3.0), 1.0)
          )
          with pyro.plate("data", data.shape[0]):
              assignments = pyro.sample(
                  "assignments", dist.Categorical(mix_proportions)
              )
              pyro.sample(
                  "obs",
                  dist.Normal(cluster_means[assignments], 1.0),
                  obs=data,
              )
          return cluster_means
  
      mcmc_kernel = kernel(gmm, **kwargs)
      # Error due to non finite value for `max_plate_nesting`.
      assert_error(mcmc_kernel)
      # Error due to batch dims not inside plate.
      mcmc_kernel = kernel(gmm, max_plate_nesting=1, **kwargs)
      assert_error(mcmc_kernel)
  
imports: import io
  import logging
  import pytest
  import torch
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.infer import config_enumerate
  from pyro.infer.mcmc import HMC, NUTS
  from pyro.infer.mcmc.api import MCMC
  from pyro.infer.mcmc.util import TraceEinsumEvaluator, TraceTreeEvaluator, initialize_model
  from pyro.infer.reparam import LatentStableReparam
  from pyro.poutine.subsample_messenger import _Subsample
  from tests.common import assert_close, assert_equal, xfail_param
label_desc: Use image node_id 4 for calling a global function with example usage: test_model_error_stray_batch_dims(kernel, kwargs) and returns: cluster_means