code: def state_dict(self):
      state_dict = {}
      state_dict[CLIP_GRAD] = self.clip_grad
      state_dict[BASE_OPTIMIZER_STATE] = self.optimizer.state_dict()
      state_dict[
          SINGLE_PARTITION_OF_FP32_GROUPS
      ] = self.fp32_groups_flat_partition
      state_dict[GROUP_PADDINGS] = self.group_paddings
      state_dict[PARTITION_COUNT] = self.partition_count
      state_dict[DS_VERSION] = version
      state_dict[PARAM_SLICE_MAPPINGS] = self._param_slice_mappings
  
      return state_dict
  
imports: from collections import OrderedDict
  import torch
  import sys
  import os
  from deepspeed import comm
  from deepspeed.runtime.constants import PIPE_REPLICATED
  from deepspeed.ops.op_builder import UtilsBuilder
  from deepspeed.runtime import ZeROOptimizer
  from packaging import version
  from deepspeed.git_version_info import version
  from deepspeed.runtime.utils import get_global_norm_of_tensors, clip_tensors_by_global_norm, DummyOptim, align_dense_tensors, all_gather_dp_groups, bwc_tensor_model_parallel_rank, is_model_parallel_parameter, see_memory_usage
  from deepspeed.utils import link_hp_params, fragment_address
  from deepspeed.checkpoint import enable_universal_checkpoint
  from deepspeed.checkpoint.constants import DS_VERSION, PARTITION_COUNT, BASE_OPTIMIZER_STATE, SINGLE_PARTITION_OF_FP32_GROUPS, CLIP_GRAD, GROUP_PADDINGS, PARAM_SLICE_MAPPINGS
label_desc: Use image node_id 18 for calling the BF16_Optimizer obj's underlying member method code with example usage: obj.state_dict() and returns: state_dict