code: def apply_to_static(self, model):
      support_to_static = self.config["trainer"].get("to_static", False)
      if support_to_static:
          specs = None
          print("static")
          specs = [InputSpec([None, 3, -1, -1])]
          model = to_static(model, input_spec=specs)
          self.logger_info(
              "Successfully to apply @to_static with specs: {}".format(
                  specs
              )
          )
      return model
  
imports: import os
  import pathlib
  import shutil
  from pprint import pformat
  import anyconfig
  import paddle
  import numpy
  import random
  from paddle.jit import to_static
  from paddle.static import InputSpec
  from utils import setup_logger
label_desc: Use image node_id 2 for calling the BaseTrainer obj's underlying member method code with example usage: obj.apply_to_static(model) and returns: model