code: def __init__(
      self,
      d,
      w_sizes,
      mf=False,
      tau_label="tau",
      alpha_init=100.0,
      b0_init=100.0,
      **kwargs,
  ):
      super().__init__(d, w_sizes, **kwargs)
      self.alpha = nn.Parameter(alpha_init * torch.ones(d))
      self.b0 = nn.Parameter(b0_init * torch.ones(d))
      self.mf = mf
      self.tau_label = tau_label
  
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 NormalInverseGammaGuide object from inherited base classes: LinearModelPosteriorGuide with example: obj = NormalInverseGammaGuide(d, w_sizes, mf, tau_label, alpha_init, b0_init)