code: def forward(self, x):
      self.retain_outputs((0,))
      xp = backend.get_array_module(*x)
      return (utils.force_array(xp.sqrt(x[0], dtype=x[0].dtype)),)
  
imports: 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 4 for calling the Sqrt obj's underlying member method code with example usage: obj.forward(x) and returns: utils