code: def restore_weights_file(model, filepath, framework, task):
      # type: (Optional[Any], Optional[str], Optional[str], Optional[Task]) -> str
      if task is None:
          return filepath
  
      try:
          local_model_path = (
              os.path.abspath(filepath) if filepath else filepath
          )
      except TypeError:
          # not a recognized type, we just return it back
          return filepath
  
      model_info = WeightsFileHandler.ModelInfo(
          model=None,
          upload_filename=None,
          local_model_path=local_model_path,
          local_model_id=filepath,
          framework=framework,
          task=task,
      )
      # call pre model callback functions
      for cb in list(WeightsFileHandler._model_pre_callbacks.values()):
          # noinspection PyBroadException
          try:
              model_info = cb(
                  WeightsFileHandler.CallbackType.load, model_info
              )
          except Exception:
              pass
  
      # if callback forced us to leave they return None
      if model_info is None:
          # callback forced quit
          return filepath
  
      if not model_info.local_model_path:
          # get_logger(TrainsFrameworkAdapter).debug("Could not retrieve model file location, model is not logged")
          return filepath
  
      try:
          WeightsFileHandler._model_store_lookup_lock.acquire()
  
          # check if object already has InputModel
          if model_info.model:
              trains_in_model = model_info.model
          else:
              # # disable model reuse, let Model module try to find it for use
              trains_in_model, ref_model = None, None  # noqa: F841
              # trains_in_model, ref_model = WeightsFileHandler._model_in_store_lookup.get(
              #     id(model) if model is not None else None, (None, None))
              # # noinspection PyCallingNonCallable
              # if ref_model is not None and model != ref_model():
              #     # old id pop it - it was probably reused because the object is dead
              #     WeightsFileHandler._model_in_store_lookup.pop(id(model))
              #     trains_in_model, ref_model = None, None
  
          # check if object already has InputModel
          model_name_id = getattr(model, "name", "") if model else ""
          # noinspection PyBroadException
          try:
              config_text = None
              config_dict = (
                  trains_in_model.config_dict
                  if trains_in_model
                  else None
              )
          except Exception:
              config_dict = None
              # noinspection PyBroadException
              try:
                  config_text = (
                      trains_in_model.config_text
                      if trains_in_model
                      else None
                  )
              except Exception:
                  config_text = None
  
          if not trains_in_model:
              # check if we already have the model object:
              # noinspection PyProtectedMember
              model_id, model_uri = Model._local_model_to_id_uri.get(
                  model_info.local_model_id
                  or model_info.local_model_path,
                  (None, None),
              )
              if model_id:
                  # noinspection PyBroadException
                  try:
                      trains_in_model = InputModel(model_id)
                  except Exception:
                      model_id = None
  
              # if we do not, we need to import the model
              if not model_id:
                  trains_in_model = InputModel.import_model(
                      weights_url=model_info.local_model_path,
                      config_dict=config_dict,
                      config_text=config_text,
                      name=task.name + (" " + model_name_id)
                      if model_name_id
                      else "",
                      label_enumeration=task.get_labels_enumeration(),
                      framework=framework,
                      create_as_published=False,
                  )
  
          model_info.model = trains_in_model
          # call post model callback functions
          for cb in list(
              WeightsFileHandler._model_post_callbacks.values()
          ):
              # noinspection PyBroadException
              try:
                  model_info = cb(
                      WeightsFileHandler.CallbackType.load, model_info
                  )
              except Exception:
                  pass
          trains_in_model = model_info.model
  
          # # disable model reuse, let Model module try to find it for use
          # if model is not None:
          #     # noinspection PyBroadException
          #     try:
          #         ref_model = weakref.ref(model)
          #     except Exception:
          #         ref_model = None
          #     WeightsFileHandler._model_in_store_lookup[id(model)] = (trains_in_model, ref_model)
  
          task.connect(trains_in_model)
          # if we are running remotely we should deserialize the object
          # because someone might have changed the config_dict
          # Hack: disabled
          if False and running_remotely():
              # reload the model
              model_config = trains_in_model.config_dict
              # verify that this is the same model so we are not deserializing a different model
              if (
                  config_dict
                  and config_dict.get("config")
                  and model_config
                  and model_config.get("config")
                  and config_dict.get("config").get("name")
                  == model_config.get("config").get("name")
              ) or (not config_dict and not model_config):
                  filepath = trains_in_model.get_weights()
                  # update filepath to point to downloaded weights file
                  # actual model weights loading will be done outside the try/exception block
  
          # update back the internal Model lookup, and replace the local file with our file
          # noinspection PyProtectedMember
          Model._local_model_to_id_uri[model_info.local_model_id] = (
              trains_in_model.id,
              trains_in_model.url,
          )
  
      except Exception as ex:
          get_logger(TrainsFrameworkAdapter).debug(str(ex))
      finally:
          WeightsFileHandler._model_store_lookup_lock.release()
  
      return filepath
  
imports: import os
  import shutil
  import sys
  import threading
  from enum import Enum
  from random import randint
  from tempfile import mkstemp
  from typing import TYPE_CHECKING, Callable, Dict, Optional, Any, Union
  import six
  from pathlib2 import Path
  from ...backend_interface.model import Model
  from ...config import running_remotely
  from ...debugging.log import get_logger
  from ...model import InputModel, OutputModel
label_desc: Use image node_id 7 for calling the WeightsFileHandler obj's underlying member method code with example usage: obj.restore_weights_file(model, filepath, framework, task) and returns: filepath, filepath, filepath, filepath, filepath