code: def _plates_to_shape(plates):
      shape = [1] * max([0] + [-f.dim for f in plates])
      for f in plates:
          shape[f.dim] = f.size
      return torch.Size(shape)
  
imports: import itertools
  from abc import ABCMeta, abstractmethod
  from collections import OrderedDict, defaultdict
  from contextlib import ExitStack
  from types import SimpleNamespace
  from typing import Callable, Dict, Optional, Set, Tuple, Union
  import torch
  from torch.distributions import biject_to
  import pyro
  import pyro.distributions
  import pyro.poutine
  from pyro.distributions import constraints
  from pyro.infer.inspect import get_dependencies, is_sample_site
  from pyro.nn.module import PyroModule, PyroParam
  from pyro.ops.linalg import ignore_torch_deprecation_warnings
  from pyro.poutine.runtime import am_i_wrapped, get_plates
  from pyro.poutine.util import site_is_subsample
  from .guides import AutoGuide
  from .initialization import InitMessenger, init_to_feasible
  from .utils import deep_getattr, deep_setattr, helpful_support_errors
label_desc: Use image node_id 3 for calling a global function with example usage: _plates_to_shape(plates) and returns: torch