Created by: wwjjy

使用Uniform裁剪mobilenet时，裁剪过后的fine-tune训练会报错，错误类型如下： 看起来像是裁剪过后的通道数和分组卷积的group数不同导致的，但是如果紧跟着量化训练的话，模型就可以正常的训练。请问这是什么问题呀。具体的配置如下：

pruners:
    pruner_1:
        class: 'StructurePruner'
        pruning_axis:
            '*': 0
        criterions:
            '*': 'l1_norm'

strategies:
    uniform_pruning_strategy:
        class: 'UniformPruneStrategy'
        pruner: 'pruner_1'
        start_epoch: 5
        target_ratio: 0.5
        pruned_params: 'conv'
        metric_name: 'acc_top1'
    quantization_strategy:
        class: 'QuantizationStrategy'
        start_epoch: 10
        end_epoch: 15
        float_model_save_path: './output/float'
        mobile_model_save_path: './output/mobile'
        int8_model_save_path: './output/int8'
        weight_bits: 8
        activation_bits: 8
        weight_quantize_type: 'abs_max'
        activation_quantize_type: 'abs_max'
        save_in_nodes: ['image']
        save_out_nodes: ['fc_0.tmp_2']
compressor:
    epoch: 16
    checkpoint_path: './checkpoints_model/'
    strategies:
        - uniform_pruning_strategy
        - quantization_strategy