Global:
  debug: false
  use_gpu: true
  epoch_num: 100
  log_smooth_window: 20
  print_batch_step: 10
  save_model_dir: ./json/rec_svtrv2_ch_distill_lr00002/
  save_epoch_step: 5
  eval_batch_step:
  - 0
  - 1000
  cal_metric_during_train: False
  pretrained_model:
  checkpoints:
  save_inference_dir:
  use_visualdl: false
  infer_img: doc/imgs_words/ch/word_1.jpg
  character_dict_path: ppocr/utils/ppocr_keys_v1.txt
  max_text_length: &max_text_length 25
  infer_mode: false
  use_space_char: true
  distributed: true
  save_res_path: ./json/rec/predicts_svtrv2_ch_distill.txt
Optimizer:
  name: AdamW
  beta1: 0.9
  beta2: 0.99
  epsilon: 1.e-8
  weight_decay: 0.05
  no_weight_decay_name: norm pos_embed patch_embed downsample
  one_dim_param_no_weight_decay: True
  lr:
    name: Cosine
    learning_rate: 0.0002 # 8gpus 192bs
    warmup_epoch: 5
Architecture:
  model_type: rec
  name: DistillationModel
  algorithm: Distillation
  Models:
    Teacher:
      pretrained: ./json/rec_svtrv2_ch/best_accuracy
      freeze_params: true
      return_all_feats: true
      model_type: rec
      algorithm: SVTR_LCNet
      Transform: null
      Backbone:
        name: SVTRv2
        use_pos_embed: False
        dims: [128, 256, 384]
        depths: [6, 6, 6]
        num_heads: [4, 8, 12]
        mixer: [['Conv','Conv','Conv','Conv','Conv','Conv'],['Conv','Conv','Global','Global','Global','Global'],['Global','Global','Global','Global','Global','Global']]
        local_k: [[5, 5], [5, 5], [-1, -1]]
        sub_k: [[2, 1], [2, 1], [-1, -1]]
        last_stage: False
        use_pool: True
      Head:
        name: MultiHead
        head_list:
          - CTCHead:
              Neck:
                name: svtr
                dims: 256
                depth: 2
                hidden_dims: 256
                kernel_size: [1, 3]
                use_guide: True
              Head:
                fc_decay: 0.00001
          - NRTRHead:
              nrtr_dim: 384
              num_decoder_layers: 2
              max_text_length: *max_text_length
    Student:
      pretrained: ./json/rec_repsvtr_ch/best_accuracy
      freeze_params: false
      return_all_feats: true
      model_type: rec
      algorithm: SVTR_LCNet
      Transform: null
      Backbone:
        name: RepSVTR
      Head:
        name: MultiHead
        head_list:
          - CTCHead:
              Neck:
                name: svtr
                dims: 256
                depth: 2
                hidden_dims: 256
                kernel_size: [1, 3]
                use_guide: True
              Head:
                fc_decay: 0.00001
          - NRTRHead:
              nrtr_dim: 384
              num_decoder_layers: 2
              max_text_length: *max_text_length
Loss:
  name: CombinedLoss
  loss_config_list:
  - DistillationDKDLoss:
      weight: 0.1
      model_name_pairs:
      - - Student
        - Teacher
      key: head_out
      multi_head: true
      alpha: 1.0
      beta: 2.0
      dis_head: gtc
      name: dkd
  - DistillationCTCLoss:
      weight: 1.0
      model_name_list:
      - Student
      key: head_out
      multi_head: true
  - DistillationNRTRLoss:
      weight: 1.0
      smoothing: false
      model_name_list:
      - Student
      key: head_out
      multi_head: true
  - DistillCTCLogits:
      weight: 1.0
      reduction: mean
      model_name_pairs:
      - - Student
        - Teacher
      key: head_out
PostProcess:
  name: DistillationCTCLabelDecode
  model_name:
  - Student
  key: head_out
  multi_head: true
Metric:
  name: DistillationMetric
  base_metric_name: RecMetric
  main_indicator: acc
  key: Student


Train:
  dataset:
    name: MultiScaleDataSet
    ds_width: false
    data_dir: ./train_data/
    ext_op_transform_idx: 1
    label_file_list:
    - ./train_data/train_list.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - RecAug:
    - MultiLabelEncode:
        gtc_encode: NRTRLabelEncode
    - KeepKeys:
        keep_keys:
        - image
        - label_ctc
        - label_gtc
        - length
        - valid_ratio
  sampler:
    name: MultiScaleSampler
    scales: [[320, 32], [320, 48], [320, 64]]
    first_bs: &bs 192
    fix_bs: false
    divided_factor: [8, 16] # w, h
    is_training: True
  loader:
    shuffle: true
    batch_size_per_card: *bs
    drop_last: true
    num_workers: 8
Eval:
  dataset:
    name: SimpleDataSet
    data_dir: ./train_data
    label_file_list:
    - ./train_data/val_list.txt
    transforms:
    - DecodeImage:
        img_mode: BGR
        channel_first: false
    - MultiLabelEncode:
        gtc_encode: NRTRLabelEncode
    - RecResizeImg:
        image_shape: [3, 48, 320]
    - KeepKeys:
        keep_keys:
        - image
        - label_ctc
        - label_gtc
        - length
        - valid_ratio
  loader:
    shuffle: false
    drop_last: false
    batch_size_per_card: 128
    num_workers: 4