code: def _swap_out_gradients(
      self,
      parameter,
      gradient_offsets,
      gradient_tensors,
      gradient_swapper,
  ):
      if not id(parameter) in self.swap_params_info.keys():
          return
  
      swap_info = self.swap_params_info[id(parameter)]
  
      swappable_tensors = []
      swappable_offsets = []
      swappable_lengths = []
  
      (
          aligned_gradients,
          aligned_offsets,
      ) = self._adjust_for_misaligned_lengths(
          tensors=gradient_tensors, offsets=gradient_offsets
      )
  
      self._start_timer(SWAP_OUT_GRADIENT_TIMER)
      for tensor, offset in zip(aligned_gradients, aligned_offsets):
          if not self.swappable_tensor(param=tensor):
              swap_info.unswapped_gradients[offset] = tensor
              continue
  
          swappable_tensors.append(tensor)
          swappable_offsets.append(offset)
          swappable_lengths.append(tensor.numel())
  
      if len(swappable_tensors) > 0:
          if not gradient_swapper.has_buffers():
              pinned_buffers = self.swap_buffer_manager.allocate_all(
                  num_elems=self.largest_numel, dtype=self.dtype
              )
  
              gradient_swapper.add_buffers(pinned_buffers)
  
          swappable_paths = swap_info.get_or_create_gradient_paths(
              swappable_offsets, swappable_lengths
          )
  
          gradient_swapper.swap_out_tensors(
              tensor_list=swappable_tensors, path_list=swappable_paths
          )
  
      self._stop_timer(SWAP_OUT_GRADIENT_TIMER)
      self.timer_names.add(SWAP_OUT_GRADIENT_TIMER)
  
imports: import os
  import torch
  from deepspeed import comm
  from deepspeed.utils.logging import logger
  from deepspeed.runtime.swap_tensor.constants import *
  from deepspeed.runtime.swap_tensor.utils import swap_in_tensors, swap_out_tensors, MIN_AIO_BYTES, AIO_ALIGNED_BYTES, get_sized_buffers
  from deepspeed.runtime.swap_tensor.utils import SwapBufferManager, SwapBufferPool
label_desc: Use image node_id 8 for calling the OptimizerSwapper obj's underlying member method code with example usage: obj._swap_out_gradients(parameter, gradient_offsets, gradient_tensors, gradient_swapper) without return types