code: def forward(self, inputs):
      self.retain_inputs((0,))
      x = inputs[0]
      xp = backend.get_array_module(x)
      return (utils.force_array(xp.log2(x)),)
  
imports: import math
  import numpy
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 3 for calling the Log2 obj's underlying member method code with example usage: obj.forward(inputs) and returns: utils