code: def model_with_param():
      x = pyro.param("x", torch.tensor(1.0))
      pyro.sample("y", dist.Normal(x, 1))
  
file_path: pyro/tests/infer/mcmc/test_mcmc_util.py
imports: from functools import partial
  import pytest
  import torch
  import pyro
  import pyro.distributions
  from pyro.infer import Predictive
  from pyro.infer.autoguide import init_to_feasible, init_to_generated, init_to_mean, init_to_median, init_to_sample, init_to_uniform, init_to_value
  from pyro.infer.mcmc import NUTS
  from pyro.infer.mcmc.api import MCMC
  from pyro.infer.mcmc.util import initialize_model
  from pyro.util import optional
  from tests.common import assert_close, str_erase_pointers
label_desc: Use image node_id 3 for calling a global function with example usage: model_with_param() without return types