code: def smooth_l1(x, t, beta):
      return F.huber_loss(x, t, beta, reduce="no") / beta
  
file_path: chainercv/chainercv/links/model/fpn/misc.py
imports: from __future__ import division
  import numpy
  from chainer.backends import cuda
  import chainer.functions
  from chainercv import transforms
label_desc: Use image node_id 1 for calling a global function with example usage: smooth_l1(x, t, beta) and returns: unknown