code: def convert_params(
      model_name,
      generator_units_scale,
      generator_layers_scale,
      params_path,
      out_path,
  ):
      _, _, pretrain_model = get_electra_pretraining_model(
          model_name,
          [mx.cpu()],
          generator_units_scale=generator_units_scale,
          generator_layers_scale=generator_layers_scale,
          params_path=params_path,
      )
      backbone_model = pretrain_model.disc_backbone
      backbone_model.save_parameters(out_path)
  
imports: import os
  import argparse
  import mxnet
  from pretraining_utils import get_electra_pretraining_model
label_desc: Use image node_id 2 for calling a global function with example usage: convert_params(model_name, generator_units_scale, generator_layers_scale, params_path, out_path) without return types