code: def test_pyro_serialize():
      class MyModule(PyroModule):
          def __init__(self):
              super().__init__()
              self.x = PyroParam(
                  torch.tensor(1.234), constraints.positive
              )
              self.y = nn.Parameter(torch.randn(3))
  
          def forward(self):
              return self.x, self.y
  
      module = MyModule()
      assert len(pyro.get_param_store()) == 0
  
      assert isinstance(module.x, torch.Tensor)
      assert len(pyro.get_param_store()) == 0
  
      actual = module()  # triggers saving in param store
      assert_equal(actual[0], module.x)
      assert_equal(actual[1], module.y)
      assert set(pyro.get_param_store().keys()) == {"x", "y"}
      assert_equal(pyro.param("x").detach(), module.x.detach())
      assert_equal(pyro.param("y").detach(), module.y.detach())
  
      pyro.get_param_store().save("/tmp/pyro_module.pt")
      pyro.clear_param_store()
      assert len(pyro.get_param_store()) == 0
      pyro.get_param_store().load("/tmp/pyro_module.pt")
      assert set(pyro.get_param_store().keys()) == {"x", "y"}
      actual = MyModule()
      actual()
  
      assert_equal(actual.x, module.x)
      actual_names = {name for name, _ in actual.named_parameters()}
      expected_names = {name for name, _ in module.named_parameters()}
      assert actual_names == expected_names
  
imports: import io
  import warnings
  import pytest
  import torch
  from torch import nn
  from torch.distributions import constraints, transform_to
  import pyro
  import pyro.distributions
  from pyro import poutine
  from pyro.infer import SVI, Trace_ELBO
  from pyro.nn.module import PyroModule, PyroParam, PyroSample, clear, to_pyro_module_
  from pyro.optim import Adam
  from tests.common import assert_equal
label_desc: Use image node_id 19 for calling a global function with example usage: test_pyro_serialize() and returns: self,  self