code: def test_jit_arange_workaround():
      def fn(x):
          y = torch.ones(x.shape[0], dtype=torch.long, device=x.device)
          return torch.cumsum(y, 0) - 1
  
      compiled = torch.jit.trace(fn, torch.ones(3))
      assert_equal(compiled(torch.ones(10)), torch.arange(10))
  
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 23 for calling a global function with example usage: test_jit_arange_workaround() and returns: unknown