code: def clip_params():
      for param, clip in zip(("alpha", "mean"), (-2.5, -4.5)):
          for layer in ["_q_top", "_q_mid", "_q_bottom"]:
              for wz in ["_w", "_z"]:
                  pyro.param(param + wz + layer).data.clamp_(min=clip)
  
imports: import argparse
  import errno
  import os
  import numpy
  import torch
  import wget
  from torch.nn.functional import softplus
  import pyro
  import pyro.optim
  from pyro.contrib.easyguide import EasyGuide
  from pyro.contrib.examples.util import get_data_directory
  from pyro.distributions import Gamma, Normal, Poisson
  from pyro.infer import SVI, TraceMeanField_ELBO
  from pyro.infer.autoguide import AutoDiagonalNormal, init_to_feasible
label_desc: Use image node_id 2 for calling a global function with example usage: clip_params() without return types