class_docstr: Function that broadcasts given arrays.
class_docstr_tok: ["Function","that","broadcasts","given","arrays","."]
code: def backward(self, indexes, grad_outputs):
      return tuple(
          [
              None
              if grad_outputs[i] is None
              else chainer.functions.sum_to(
                  grad_outputs[i], self.inputs[i].shape
              )
              for i in indexes
          ]
      )
  
imports: import six
  import chainer
  from chainer import backend
  from chainer import function_node
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 3 for calling the Broadcast obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: tuple