code: def plate_reuse_model_guide(include_obs=True, dim1=3, dim2=2):
      p0 = torch.tensor(
          math.exp(-0.40 - include_obs * 0.2), requires_grad=True
      )
      p1 = torch.tensor(
          math.exp(-0.33 - include_obs * 0.1), requires_grad=True
      )
      pyro.sample("a1", dist.Bernoulli(p0 * p1))
      my_plate1 = pyro.plate("plate1", dim1)
      my_plate2 = pyro.plate("plate2", dim2)
      with my_plate1 as ind1:
          with my_plate2 as ind2:
              pyro.sample(
                  "c1",
                  dist.Bernoulli(p1).expand_by([len(ind2), len(ind1)]),
              )
      pyro.sample("b1", dist.Bernoulli(p0 * p1))
      with my_plate2 as ind2:
          with my_plate1 as ind1:
              c2 = pyro.sample(
                  "c2",
                  dist.Bernoulli(p1).expand_by([len(ind2), len(ind1)]),
              )
              if include_obs:
                  pyro.sample(
                      "obs",
                      dist.Bernoulli(c2),
                      obs=torch.ones(c2.size()),
                  )
  
imports: import math
  from collections import defaultdict
  import pytest
  import torch
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.infer.tracegraph_elbo import TrackNonReparam, _compute_downstream_costs
  from pyro.infer.util import MultiFrameTensor, get_plate_stacks
  from pyro.ops.provenance import get_provenance
  from pyro.poutine.util import prune_subsample_sites
  from tests.common import assert_equal
label_desc: Use image node_id 12 for calling a global function with example usage: plate_reuse_model_guide(include_obs, dim1, dim2) without return types