code: def test_async_read(
      self,
      tmpdir,
      use_cuda_pinned_tensor,
      single_submit,
      overlap_events,
      cuda_device,
  ):
      _skip_for_invalid_environment(
          use_cuda_device=cuda_device,
          use_cuda_pinned_tensor=use_cuda_pinned_tensor,
      )
  
      use_cpu_locked_tensor = False
      h = (
          AsyncIOBuilder()
          .load()
          .aio_handle(
              BLOCK_SIZE,
              QUEUE_DEPTH,
              single_submit,
              overlap_events,
              IO_PARALLEL,
          )
      )
  
      if cuda_device:
          aio_buffer = torch.empty(
              IO_SIZE,
              dtype=torch.uint8,
              device=get_accelerator().device_name(),
          )
      elif use_cuda_pinned_tensor:
          aio_buffer = get_accelerator().pin_memory(
              torch.empty(IO_SIZE, dtype=torch.uint8, device="cpu")
          )
      else:
          aio_buffer = h.new_cpu_locked_tensor(
              IO_SIZE, torch.empty(0, dtype=torch.uint8)
          )
          use_cpu_locked_tensor = True
  
      _validate_handle_state(h, single_submit, overlap_events)
  
      ref_file, _ = _do_ref_write(tmpdir)
      read_status = h.async_pread(aio_buffer, ref_file)
      assert read_status == 0
  
      wait_status = h.wait()
      assert wait_status == 1
  
      with open(ref_file, "rb") as f:
          ref_buffer = list(f.read())
      assert ref_buffer == aio_buffer.tolist()
  
      if use_cpu_locked_tensor:
          h.free_cpu_locked_tensor(aio_buffer)
  
imports: import pytest
  import os
  import filecmp
  import torch
  import deepspeed
  import deepspeed.comm
  from deepspeed.accelerator import get_accelerator
  from deepspeed.ops.op_builder import AsyncIOBuilder
  from unit.common import DistributedTest
label_desc: Use image node_id 2 for calling the TestRead obj's underlying member method code with example usage: obj.test_async_read(tmpdir, use_cuda_pinned_tensor, single_submit, overlap_events, cuda_device) without return types