code: def L1_loss(pred, targets):
      return np.mean(np.abs(pred - targets))
  
file_path: autograd/examples/ode_net.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  import matplotlib.pyplot
  import numpy
  import autograd.numpy
  from autograd import grad
  from autograd.scipy.integrate import odeint
  from autograd.builtins import tuple
  from autograd.misc.optimizers import adam
  import autograd.numpy.random
label_desc: Use image node_id 5 for calling a global function with example usage: L1_loss(pred, targets) and returns: np