Global:
  model: SLANet_plus
  mode: check_dataset # check_dataset/train/evaluate/predict
  dataset_dir: "/Users/zhch158/workspace/repository.git/PaddleX/dataset/table_rec_dataset_examples"
  device: cpu
  output: "/Users/zhch158/workspace/repository.git/PaddleX/zhch/table_structure_recognition/output"
  use_sync_bn: False  # 移动到这里！
  distributed: False  # 也添加这个确保不使用分布式

CheckDataset:
  convert:
    enable: False
    src_dataset_type: null
  split:
    enable: False
    train_percent: null
    val_percent: null

Train:
  epochs_iters: 10
  batch_size: 8  # 减少batch_size，CPU训练建议使用较小值
  learning_rate: 0.001
  pretrain_weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/SLANet_plus_pretrained.pdparams
  resume_path: null
  log_interval: 20
  eval_interval: 1
  save_interval: 1

Evaluate:
  # weight_path: "output/best_accuracy/best_accuracy.pdparams"
  weight_path: "/Users/zhch158/.paddleocr/models/SLANet_plus_pretrained.pdparams"
  log_interval: 1