code: def log_normalize(x):
      return x - logsumexp(x)
  
file_path: autograd/examples/gmm.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  import matplotlib.pyplot
  import autograd.numpy
  import autograd.numpy.random
  from autograd import grad, hessian_vector_product
  from scipy.optimize import minimize
  from autograd.scipy.special import logsumexp
  import autograd.scipy.stats.multivariate_normal
  from autograd.misc.flatten import flatten_func
  from data import make_pinwheel
label_desc: Use image node_id 2 for calling a global function with example usage: log_normalize(x) and returns: unknown