code: def swap_in_tensors(swap_handle, tensor_buffers, swap_paths):
      for buffer, path in zip(tensor_buffers, swap_paths):
          assert swap_handle.async_pread(buffer, path) == 0
  
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 for calling a global function with example usage: swap_in_tensors(swap_handle, tensor_buffers, swap_paths) without return types