code: def __init__(self, parameter, numel, base_folder):
      self.tensors = []
      self.param_id = id(parameter)
      self.swap_folder = base_folder
      self.swap_paths = []
      self.swapped_gradients = {}
      self.unswapped_gradients = {}
      self.tensor_numel = numel
      self.tensor_dtype = parameter.dtype
      self.tensor_device = parameter.device
      self.has_state_tensors = False
      self._add_tensors([parameter])
  
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
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 1 to create a new OptimizerStateSwapInfo object from inherited base classes: object with example: obj = OptimizerStateSwapInfo(parameter, numel, base_folder)