yolov3_mbv1_qat_dis.yaml

Global:
  reader_config: configs/yolo_reader.yml
  Evaluation: True
  model_dir: ./yolov3_mobilenet_v1_270e_coco  # Model Link: https://paddledet.bj.bcebos.com/models/slim/yolov3_mobilenet_v1_270e_coco.tar
  model_filename: model.pdmodel
  params_filename: model.pdiparams

Distillation:
  alpha: 1.0
  loss: l2
  node:
  - conv2d_84.tmp_0
  - conv2d_85.tmp_0
  - conv2d_86.tmp_0

QuantAware:
  activation_quantize_type: 'range_abs_max'
  quantize_op_types:
  - conv2d
  - depthwise_conv2d

TrainConfig:
  train_iter: 3000
  eval_iter: 1000
  learning_rate: 0.0001
  optimizer_builder:
    optimizer: 
      type: SGD
    weight_decay: 4.0e-05
  #origin_metric: 0.289