code: def _convert_to_zero_parameters(self, ds_config, module, mpu):
      non_zero_params = [
          p for p in module.parameters() if not is_zero_param(p)
      ]
      if non_zero_params:
          zero_params = [
              p for p in module.parameters() if is_zero_param(p)
          ]
          if zero_params:
              zero_params[0].convert_to_zero_parameters(
                  param_list=non_zero_params
              )
          else:
              group = None
              if mpu:
                  group = mpu.get_data_parallel_group()
  
              Init(
                  module=module,
                  data_parallel_group=group,
                  dtype=self.dtype,
                  config_dict_or_path=ds_config,
                  remote_device=self.offload_device,
                  pin_memory=self.offload_param_pin_memory,
                  mpu=mpu,
                  zero_param_parallel_group=self.zero_param_parallel_group,
                  zero_quantized_weights=self.zero_quantized_weights,
                  zero_quantized_nontrainable_weights=self.zero_quantized_nontrainable_weights,
              )
  
imports: import sys
  import torch
  from collections import OrderedDict
  from deepspeed.runtime.utils import see_memory_usage
  from deepspeed.runtime.zero.offload_config import OffloadDeviceEnum
  from deepspeed.runtime.zero.partition_parameters import _init_external_params
  from deepspeed.runtime.zero.partition_parameters import *
  from deepspeed.runtime.zero.partitioned_param_coordinator import PartitionedParameterCoordinator, InflightParamRegistry, iter_params
  from deepspeed import comm
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 5 for calling the DeepSpeedZeRoOffload obj's underlying member method code with example usage: obj._convert_to_zero_parameters(ds_config, module, mpu) without return types