yolov3_mobilenet_v1_slim.yaml

version: 1.0
pruners:
    pruner_1:
        class: 'StructurePruner'
        pruning_axis:
            '*': 0
        criterions:
            '*': 'l1_norm'
strategies:
    uniform_pruning_strategy:
        class: 'UniformPruneStrategy'
        pruner: 'pruner_1'
        start_epoch: 0
        target_ratio: 0.5
        pruned_params: '(conv2_1_sep_weights)|(conv2_2_sep_weights)|(conv3_1_sep_weights)|(conv4_1_sep_weights)|(conv5_1_sep_weights)|(conv5_2_sep_weights)|(conv5_3_sep_weights)|(conv5_4_sep_weights)|(conv5_5_sep_weights)|(conv5_6_sep_weights)|(yolo_block.0.0.0.conv.weights)|(yolo_block.0.0.1.conv.weights)|(yolo_block.0.1.0.conv.weights)|(yolo_block.0.1.1.conv.weights)|(yolo_block.1.0.0.conv.weights)|(yolo_block.1.0.1.conv.weights)|(yolo_block.1.1.0.conv.weights)|(yolo_block.1.1.1.conv.weights)|(yolo_block.1.2.conv.weights)|(yolo_block.2.0.0.conv.weights)|(yolo_block.2.0.1.conv.weights)|(yolo_block.2.1.1.conv.weights)|(yolo_block.2.2.conv.weights)|(yolo_block.2.tip.conv.weights)'
        metric_name: 'acc_top1'
compressor:
    epoch: 271
    eval_epoch: 10
    #init_model: './checkpoints/0' # Please enable this option for loading checkpoint.
    checkpoint_path: './checkpoints/'
    strategies:
        - uniform_pruning_strategy