code: def log_normalize(x):
      return x - logsumexp(x)
  
file_path: autograd/examples/mixture_variational_inference.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  import matplotlib.pyplot
  import autograd.numpy
  import autograd.numpy.random
  import autograd.scipy.stats.norm
  from autograd.scipy.special import logsumexp
  from autograd import grad
  from autograd.misc.optimizers import adam
label_desc: Use image node_id 7 for calling a global function with example usage: log_normalize(x) and returns: unknown