Global:
  arch: 'keypoint'
  reader_config: configs/tinypose_reader.yml
  Evaluation: True
  model_dir: ./tinypose_128x96
  model_filename: model.pdmodel
  params_filename: model.pdiparams

Distillation:
  alpha: 1.0
  loss: l2
  node:
  -  conv2d_441.tmp_0

Quantization:
  use_pact: true
  activation_quantize_type: 'moving_average_abs_max'
  weight_quantize_type: 'channel_wise_abs_max'  # 'abs_max' is layer wise quant
  quantize_op_types:
  - conv2d
  - depthwise_conv2d

TrainConfig:
  train_iter: 30000
  eval_iter: 1000
  learning_rate: 
    type: CosineAnnealingDecay 
    learning_rate: 0.015
    T_max: 30000
  optimizer_builder:
    optimizer:
      type: Momentum
    weight_decay: 0.00002