code: def process_sample(self, sample: Dict[str, Any]) -> None:
      self.gen_timer.start()
      hypos = self.task.inference_step(
          generator=self.generator,
          models=self.models,
          sample=sample,
      )
      num_generated_tokens = sum(len(h[0]["tokens"]) for h in hypos)
      self.gen_timer.stop(num_generated_tokens)
      self.wps_meter.update(num_generated_tokens)
  
      for batch_id, sample_id in enumerate(sample["id"].tolist()):
          errs, length = self.process_sentence(
              sample=sample,
              sid=sample_id,
              batch_id=batch_id,
              hypo=hypos[batch_id][0],
          )
          self.total_errors += errs
          self.total_length += length
  
      self.log({"wps": round(self.wps_meter.avg)})
      if "nsentences" in sample:
          self.num_sentences += sample["nsentences"]
      else:
          self.num_sentences += sample["id"].numel()
  
imports: import ast
  import hashlib
  import logging
  import os
  import shutil
  import sys
  import re
  from dataclasses import dataclass, field, is_dataclass
  from pathlib import Path
  from typing import Any, Dict, List, Optional, Tuple, Union
  import editdistance
  import torch
  import torch.distributed
  from examples.speech_recognition.new.decoders.decoder_config import DecoderConfig, FlashlightDecoderConfig
  from examples.speech_recognition.new.decoders.decoder import Decoder
  from fairseq import checkpoint_utils, distributed_utils, progress_bar, tasks, utils
  from fairseq.data.data_utils import post_process
  from fairseq.dataclass.configs import CheckpointConfig, CommonConfig, CommonEvalConfig, DatasetConfig, DistributedTrainingConfig, FairseqDataclass
  from fairseq.logging.meters import StopwatchMeter, TimeMeter
  from fairseq.logging.progress_bar import BaseProgressBar
  from fairseq.models.fairseq_model import FairseqModel
  from omegaconf import OmegaConf
  import hydra
  from hydra.core.config_store import ConfigStore
label_desc: Use image node_id 16 for calling the InferenceProcessor obj's underlying member method code with example usage: obj.process_sample(sample) without return types