code: def forward_cpu(self, x):
      global _log_ndtr_cpu
      if _log_ndtr_cpu is None:
          try:
              from scipy import special
  
              _log_ndtr_cpu = special.log_ndtr
          except ImportError:
              raise ImportError(
                  "SciPy is not available. Forward computation"
                  " of log_ndtr can not be done."
              )
  
      self.retain_inputs((0,))
      return (utils.force_array(_log_ndtr_cpu(x[0]), dtype=x[0].dtype),)
  
file_path: chainer/chainer/functions/math/log_ndtr.py
imports: import numpy
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.functions.math import erfcx
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the LogNdtr obj's underlying member method code with example usage: obj.forward_cpu(x) and returns: utils