code: def static_add_bias(self, inputs, outputs):
      bias = inputs[0]
      y = outputs[0]
      y += bias
  
imports: import numpy
  from chainer import backend
  from chainer.backends import intel64
  from chainer import function_node
  import chainer.functions
  from chainer.graph_optimizations import static_code
  from chainer import utils
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 3 for calling the LinearFunction obj's underlying member method code with example usage: obj.static_add_bias(inputs, outputs) without return types