code: def __init__(
      self,
      config,
      model,
      criterion,
      train_loader,
      validate_loader,
      metric_cls,
      post_process=None,
      profiler_options=None,
  ):
      super(Trainer, self).__init__(
          config,
          model,
          criterion,
          train_loader,
          validate_loader,
          metric_cls,
          post_process,
      )
      self.profiler_options = profiler_options
      self.enable_eval = config["trainer"].get("enable_eval", True)
  
file_path: PaddleOCR/benchmark/PaddleOCR_DBNet/trainer/trainer.py
imports: import time
  import paddle
  from tqdm import tqdm
  from base import BaseTrainer
  from utils import runningScore, cal_text_score, Polynomial, profiler
label_desc: Use image node_id 1 to create a new Trainer object from inherited base classes: BaseTrainer with example: obj = Trainer(config, model, criterion, train_loader, validate_loader, metric_cls, post_process, profiler_options)