code: def _update_memory_limit(self, model):
      if hasattr(model.saver, "variables"):
          del model.saver.variables
          del model.saver.fallback_
      self.gpu_memory_limit = BytesLimit()
  
imports: from collections import OrderedDict
  import gc
  import logging
  import functools
  import psutil
  from finetune.target_models.sequence_labeling import SequenceLabeler
  import tensorflow
  from finetune.base import BaseModel
  from finetune.custom_ops import BytesInUse, BytesLimit, MaxBytesInUse
  from finetune.errors import FinetuneSchedulerError
label_desc: Use image node_id 6 for calling the Scheduler obj's underlying member method code with example usage: obj._update_memory_limit(model) without return types