class_docstr: This object contains a DeepSpeed configuration dictionary and can be quickly queried for things like zero stage.
  
  A `weakref` of this object is stored in the module's globals to be able to access the config from areas where
  things like the Trainer object is not available (e.g. `from_pretrained` and `_get_resized_embeddings`). Therefore
  it's important that this object remains alive while the program is still running.
  
  [`Trainer`] uses the `HfTrainerDeepSpeedConfig` subclass instead. That subclass has logic to sync the configuration
  with values of [`TrainingArguments`] by replacing special placeholder values: `"auto"`. Without this special logic
  the DeepSpeed configuration is not modified in any way.
  
  Args:
      config_file_or_dict (`Union[str, Dict]`): path to DeepSpeed config file or dict.
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code: def is_offload(self):
      return self._offload
  
imports: import base64
  import io
  import json
  import os
  from copy import deepcopy
  from ..optimizer import AcceleratedOptimizer
  from ..scheduler import AcceleratedScheduler
label_desc: Use image node_id 10 for calling the HfDeepSpeedConfig obj's underlying member method code with example usage: obj.is_offload() and returns: self