code: def unpack_gaussian_params(params):
      # Params of a diagonal Gaussian.
      D = np.shape(params)[-1] // 2
      mean, log_std = params[:, :D], params[:, D:]
      return mean, log_std
  
imports: from __future__ import absolute_import, division
  from __future__ import print_function
  import autograd.numpy
  import autograd.numpy.random
  import autograd.scipy.stats.norm
  from autograd.scipy.special import expit
  from autograd import grad
  from autograd.misc.optimizers import adam
  from data import load_mnist, save_images
label_desc: Use image node_id 2 for calling a global function with example usage: unpack_gaussian_params(params) and returns: mean,  log_std