class_docstr: Choose elements depending on condition.
code: def forward(self, inputs):
      # may broadcast
      xp = backend.get_array_module(*inputs)
      x, y = inputs
      condition = self.condition
      return (xp.where(condition, x, y),)
  
file_path: chainer/chainer/functions/array/where.py
imports: import numpy
  import chainer
  from chainer import backend
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the Where obj's underlying member method code with example usage: obj.forward(inputs) and returns: xp