code: def get_buffer(self, param, numel):
      param_id = param.ds_id
  
      assert (
          self.available_swap_in_buffers() > 0
      ), f"No swap buffers to allocate for fp16 param {param_id} of numel = {numel}"
      assert (
          numel < self.elements_per_buffer
      ), f"More elements {numel} than buffer size {self.elements_per_buffer}"
  
      self.param_id_to_numel[param_id] = numel
      buffer_id = self.available_buffer_ids.pop()
      self.param_id_to_buffer_id[param_id] = buffer_id
      aligned_swap_numel = self._io_aligned_numel(
          self.param_id_to_numel[param_id]
      )
      swap_buffer = self.buffers.narrow(
          0,
          int(buffer_id * self.aligned_elements_per_buffer),
          aligned_swap_numel,
      )
  
      self.param_id_to_swap_buffer[param_id] = swap_buffer
      compute_buffer = swap_buffer.narrow(
          0, 0, self.param_id_to_numel[param_id]
      )
      print_rank_0(
          f"param {param.ds_id} is assigned swap in buffer id {buffer_id}"
      )
      return compute_buffer
  
imports: import os
  import shutil
  from enum import Enum
  import torch
  from deepspeed import comm
  from deepspeed.accelerator import get_accelerator
  from deepspeed.ops.op_builder import AsyncIOBuilder
  from .constants import *
  from .utils import swap_in_tensors, swap_out_tensors, MIN_AIO_BYTES, AIO_ALIGNED_BYTES, print_object, SwapBufferPool
label_desc: Use image node_id 18 for calling the AsyncPartitionedParameterSwapper obj's underlying member method code with example usage: obj.get_buffer(param, numel) and returns: compute_buffer