code: def forward_cpu(self, inputs):
      self.retain_inputs((0, 1, 2))
      p, x, y = inputs
      one = p.dtype.type(1)
      return (utils.force_array(p * x + (one - p) * y),)
  
file_path: chainer/chainer/functions/math/linear_interpolate.py
imports: from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the LinearInterpolate obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: utils