code: def _calc_loss(model, in_arrays):
      if isinstance(in_arrays, tuple):
          return model(*in_arrays)
      elif isinstance(in_arrays, dict):
          return model(**in_arrays)
      else:
          return model(in_arrays)
  
imports: import multiprocessing
  import warnings
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer.dataset import convert
  from chainer import reporter
  from chainer.training.updaters import standard_updater
label_desc: Use image node_id 1 for calling a global function with example usage: _calc_loss(model, in_arrays) and returns: model, model, model