code: def get_grads_for_reduction(self):
      return self.fp32_groups_gradients_flat
  
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 13 for calling the BF16_Optimizer obj's underlying member method code with example usage: obj.get_grads_for_reduction() and returns: self