class_docstr: The [`Evaluator`] class is the class from which all evaluators inherit. Refer to this class for methods shared across
  different evaluators.
  Base class implementing evaluator operations.
class_docstr_tok: ["The","[","`","Evaluator","`","]","class","is","the","class","from","which","all","evaluators","inherit",".","Refer","to","this","class","for","methods","shared","across","different","evaluators",".","Base","class","implementing","evaluator","operations","."]
code: def check_for_mismatch_in_device_setup(device, model_or_pipeline):
      if (
          device is not None
          and device != -1
          and isinstance(model_or_pipeline, Pipeline)
      ):
          if model_or_pipeline.device.type == "cpu":
              raise ValueError(
                  "The value of the `device` kwarg passed to `compute` suggests that this pipe should be run on an "
                  "accelerator, but the pipe was instantiated on CPU. Pass `device` to the pipeline during "
                  "initialization to use an accelerator, or pass `device=None` to `compute`. "
              )
          elif device != model_or_pipeline.device.index:
              raise ValueError(
                  f"This pipeline was instantiated on device {model_or_pipeline.device.index} but device={device} was passed to `compute`."
              )
  
imports: from abc import ABC, abstractmethod
  from numbers import Number
  from typing import Any, Callable, Dict, List, Optional, Union
  from datasets import Dataset, load_dataset
  from evaluate.evaluator.utils import choose_split
  from time import perf_counter
  from typing_extensions import Literal
  from ..loading import load
  from ..module import EvaluationModule
  from ..utils.logging import get_logger
  from .utils import DatasetColumn
label_desc: Use image node_id 7 for calling the Evaluator obj's underlying member method code with example usage: obj.check_for_mismatch_in_device_setup(device, model_or_pipeline) without return types