class_docstr: Element-wise weighted sum of input arrays.
code: def forward_cpu(self, inputs):
      y = sum(w * x for w, x in zip(self.weights, inputs))
      return (utils.force_array(y),)
  
file_path: chainerrl/chainerrl/functions/weighted_sum_arrays.py
imports: from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the WeightedSumArrays obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: utils