code: def get_pruned_params(parameters):
      params = []
  
      for param in parameters:
          if (
              len(param.shape) == 4
              and "depthwise" not in param.name
              and "transpose" not in param.name
              and "conv2d_57" not in param.name
              and "conv2d_56" not in param.name
          ):
              params.append(param.name)
      return params
  
file_path: PaddleOCR/deploy/slim/prune/sensitivity_anal.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import paddle
  import paddle.distributed
  from ppocr.data import build_dataloader, set_signal_handlers
  from ppocr.modeling.architectures import build_model
  from ppocr.losses import build_loss
  from ppocr.optimizer import build_optimizer
  from ppocr.postprocess import build_post_process
  from ppocr.metrics import build_metric
  from ppocr.utils.save_load import load_model
  import tools.program
label_desc: Use image node_id 1 for calling a global function with example usage: get_pruned_params(parameters) and returns: params