code: def __init__(self, num_elems, count, dtype):
      self.num_elems = num_elems
      self.count = count
      self.dtype = dtype
      self.all_buffers = [
          get_accelerator().pin_memory(
              torch.zeros(num_elems, device="cpu", dtype=dtype),
              align_bytes=0,
          )
          for _ in range(count)
      ]
      self.free_buffer_index = [i for i in range(count)]
      self.used_buffer_index = {}
      self.gigabytes = (
          self.all_buffers[0].element_size() * num_elems * count
      ) / (1024**3)
  
      if dist.get_rank() == 0:
          exclude_list = ["all_buffers"]
          print_object(
              obj=self,
              name="SwapBufferManager",
              exclude_list=exclude_list,
          )
  
imports: import torch
  from deepspeed.utils.logging import logger
  from deepspeed.accelerator import get_accelerator
  from deepspeed import comm
label_desc: Use image node_id 1 to create a new SwapBufferManager object from inherited base classes: object with example: obj = SwapBufferManager(num_elems, count, dtype)