yolov3_darknet_prune_fpgm.yml 683 B

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  1. pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams
  2. slim: Pruner
  3. Pruner:
  4. criterion: fpgm
  5. pruned_params: ['conv2d_52.w_0', 'conv2d_53.w_0', 'conv2d_54.w_0',
  6. 'conv2d_55.w_0', 'conv2d_56.w_0', 'conv2d_57.w_0',
  7. 'conv2d_59.w_0', 'conv2d_60.w_0', 'conv2d_61.w_0',
  8. 'conv2d_62.w_0', 'conv2d_63.w_0', 'conv2d_64.w_0',
  9. 'conv2d_66.w_0', 'conv2d_67.w_0', 'conv2d_68.w_0',
  10. 'conv2d_69.w_0', 'conv2d_70.w_0', 'conv2d_71.w_0']
  11. pruned_ratios: [0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.875,0.875,0.875,0.875,0.875,0.875]
  12. print_params: True