docstr: Take an optimizer step with zero-valued gradients to allocate internal
  optimizer state.
  
  This helps prevent memory fragmentation by allocating optimizer state at the
  beginning of training instead of after activations have been allocated.
docstr_tok: ["Take","an","optimizer","step","with","zero-valued","gradients","to","allocate","internal","optimizer","state",".","This","helps","prevent","memory","fragmentation","by","allocating","optimizer","state","at","the","beginning","of","training","instead","of","after","activations","have","been","allocated","."]
code: def initialize_optimizer_states(self):
      """Take an optimizer step with zero-valued gradients to allocate internal
      optimizer state.
  
      This helps prevent memory fragmentation by allocating optimizer state at the
      beginning of training instead of after activations have been allocated.
      """
      for param_partition, grad_partition in zip(
          self.fp32_groups_flat_partition,
          self.fp32_groups_gradient_flat_partition,
      ):
          param_partition.grad = grad_partition
  
      self.optimizer.step()
  
      self.clear_hp_grads()
  
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 6 for calling the BF16_Optimizer obj's underlying member method code with example usage: obj.initialize_optimizer_states() without return types