code: def test_multi_output():
      y = torch.ones(2)
  
      def f(x):
          logger.debug("Inside f")
          with warnings.catch_warnings():
              warnings.filterwarnings(
                  "ignore", category=torch.jit.TracerWarning
              )
              assert x is y
          return y - 1.0, y + 1.0
  
      logger.debug("Compiling f")
      f = torch.jit.trace(f, (y,), check_trace=False)
      logger.debug("Calling f(y)")
      assert_equal(f(y)[1], torch.tensor([2.0, 2.0]))
      logger.debug("Calling f(y)")
      assert_equal(f(y)[1], torch.tensor([2.0, 2.0]))
      logger.debug("Calling f(torch.zeros(2))")
      assert_equal(f(torch.zeros(2))[1], torch.tensor([1.0, 1.0]))
      logger.debug("Calling f(torch.zeros(5))")
      assert_equal(
          f(torch.ones(5))[1], torch.tensor([2.0, 2.0, 2.0, 2.0, 2.0])
      )
  
imports: import logging
  import warnings
  import pytest
  import torch
  from torch.autograd import grad
  from torch.distributions import constraints, kl_divergence
  import pyro
  import pyro.distributions
  import pyro.ops.jit
  import pyro.poutine
  from pyro.distributions.util import scale_and_mask
  from pyro.infer import SVI, JitTrace_ELBO, JitTraceEnum_ELBO, JitTraceGraph_ELBO, JitTraceMeanField_ELBO, Trace_ELBO, TraceEnum_ELBO, TraceGraph_ELBO, TraceMeanField_ELBO, TraceTMC_ELBO, infer_discrete
  from pyro.optim import Adam
  from pyro.poutine.indep_messenger import CondIndepStackFrame
  from pyro.util import ignore_jit_warnings
  from tests.common import assert_close, assert_equal
label_desc: Use image node_id 3 for calling a global function with example usage: test_multi_output() and returns: unknown,  unknown