code: def forward(self, inputs):
      (x,) = inputs
      self.x_zero = utils.force_array(x == 0)
      y = utils.force_array(x * self._logx.array)
      y[self.x_zero] = 0.0
      return (y,)
  
file_path: chainer/chainer/distributions/utils.py
imports: import warnings
  import chainer
  from chainer.functions.array import where
  from chainer.functions.math import exponential
  from chainer import utils
label_desc: Use image node_id 2 for calling the ModifiedXLogX obj's underlying member method code with example usage: obj.forward(inputs) and returns: y