yolov3_darknet_prune_fpgm.yml

pretrain_weights: https://paddledet.bj.bcebos.com/models/yolov3_darknet53_270e_coco.pdparams
slim: Pruner

Pruner:
  criterion: fpgm
  pruned_params: ['conv2d_52.w_0', 'conv2d_53.w_0', 'conv2d_54.w_0',
                  'conv2d_55.w_0', 'conv2d_56.w_0', 'conv2d_57.w_0',
                  'conv2d_59.w_0', 'conv2d_60.w_0', 'conv2d_61.w_0',
                  'conv2d_62.w_0', 'conv2d_63.w_0', 'conv2d_64.w_0',
                  'conv2d_66.w_0', 'conv2d_67.w_0', 'conv2d_68.w_0',
                  'conv2d_69.w_0', 'conv2d_70.w_0', 'conv2d_71.w_0']
  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]
  print_params: True