code: def test_split_gelman_rubin_agree_with_gelman_rubin():
      x = torch.rand(2, 10)
      r_hat1 = gelman_rubin(x.reshape(2, 2, 5).reshape(4, 5))
      r_hat2 = split_gelman_rubin(x)
      assert_equal(r_hat1, r_hat2)
  
imports: import warnings
  import pytest
  import torch
  from pyro.ops.stats import _cummin, autocorrelation, autocovariance, crps_empirical, effective_sample_size, fit_generalized_pareto, gelman_rubin, hpdi, pi, quantile, resample, split_gelman_rubin, waic
  from tests.common import assert_close, assert_equal, xfail_if_not_implemented
label_desc: Use image node_id 16 for calling a global function with example usage: test_split_gelman_rubin_agree_with_gelman_rubin() without return types