code: def _pyro_load_from_samples(
      module, samples_dict, memo=None, prefix=""
  ):
      if memo is None:
          memo = set()
      if hasattr(module, "_priors"):
          module.local_load_samples(samples_dict, memo, prefix)
  
      for mname, module_ in module.named_children():
          submodule_prefix = prefix + ("." if prefix else "") + mname
          _pyro_load_from_samples(
              module_, samples_dict, memo=memo, prefix=submodule_prefix
          )
  
imports: import copy
  import inspect
  import itertools
  import operator
  from collections import OrderedDict
  from typing import Union
  import torch
  from linear_operator.operators import LinearOperator
  from torch import nn, Tensor
  from torch.distributions import Distribution
  from .constraints import Interval
label_desc: Use image node_id 4 for calling a global function with example usage: _pyro_load_from_samples(module, samples_dict, memo, prefix) without return types