code: def diamond_guide(dim):
      p0 = torch.tensor(math.exp(-0.70), requires_grad=True)
      p1 = torch.tensor(math.exp(-0.43), requires_grad=True)
      pyro.sample("a1", dist.Bernoulli(p0))
      for i in pyro.plate("plate", dim):
          pyro.sample("b{}".format(i), dist.Bernoulli(p1))
      pyro.sample("c1", dist.Bernoulli(p0))
  
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 6 for calling a global function with example usage: diamond_guide(dim) without return types