code: def __init__(self, d, n, w_sizes, **kwargs):
      super().__init__(d, w_sizes, **kwargs)
      self.inverse_sigmoid_scale = nn.Parameter(torch.ones(n))
      self.h1_weight = nn.Parameter(torch.ones(n))
      self.h1_bias = nn.Parameter(torch.zeros(n))
  
imports: from contextlib import ExitStack
  import torch
  from torch import nn
  import pyro
  import pyro.distributions
  from pyro import poutine
  from pyro.contrib.util import iter_plates_to_shape, lexpand, rmv, rtril, rvv, tensor_to_dict
  from pyro.ops.linalg import rinverse
label_desc: Use image node_id 1 to create a new SigmoidGuide object from inherited base classes: LinearModelPosteriorGuide with example: obj = SigmoidGuide(d, n, w_sizes)