code: def eval(self):
      if P.in_dynamic_mode():
          super(ErnieModel, self).eval()
      self.training = False
      for l in self.sublayers():
          l.training = False
      return self
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import json
  import logging
  import math
  import six
  import numpy
  import paddle
  from paddle import nn
  from paddle.nn import functional
  from disco_diffusion_ernievil_base.vit_b_16x.ernievil2.transformers.file_utils import _fetch_from_remote, add_docstring
label_desc: Use image node_id 2 for calling the ErnieModel obj's underlying member method code with example usage: obj.eval() and returns: self