class_docstr: Simple evaluator implementation. Uses the vanilla evaluation code.
  
  # Parameters
  
  batch_postprocessor: `Postprocessor`, optional (default=`SimplePostprocessor`)
      The postprocessor to use for turning both the batches and the outputs
      of the model into human readable data.
  
  cuda_device : `Union[int, torch.device]`, optional (default=`-1`)
      The cuda device to use for this evaluation.  The model is assumed to
       already be using this device; this parameter is only used for moving
       the input data to the correct device.
  
  postprocessor_fn_name: `str`, optional (default=`"make_output_human_readable"`)
      Function name of the model's postprocessing function.
code: def _to_params(self) -> Dict[str, Any]:
      return {
          "type": "simple",
          "cuda_device": self.cuda_device,
          "batch_postprocessor": self.batch_serializer.to_params(),
      }
  
imports: from typing import Union, Dict, Any, Optional
  from os import PathLike
  from pathlib import Path
  import torch
  import logging
  from allennlp.common.checks import check_for_gpu
  from allennlp.common.tqdm import Tqdm
  from allennlp.common.util import dump_metrics, int_to_device
  from allennlp.nn import util
  from allennlp.common import Registrable
  from allennlp.models import Model
  from allennlp.data import DataLoader
  from allennlp.evaluation.serializers.serializers import Serializer, SimpleSerializer
label_desc: Use image node_id 3 for calling the SimpleEvaluator obj's underlying member method code with example usage: obj._to_params() and returns: dict