Runtime Error: Expected to mark a variable ready only once

RuntimeError: Expected to mark a variable ready only once. This error is caused by one of the following reasons: 1) Use of a module parameter outside the `forward` function. Please make sure model parameters are not shared across multiple concurrent forward-backward passes. or try to use _set_static_graph() as a workaround if this module graph does not change during training loop.2) Reused parameters in multiple reentrant backward passes. For example, if you use multiple `checkpoint` functions to wrap the same part of your model, it would result in the same set of parameters been used by different reentrant backward passes multiple times, and hence marking a variable ready multiple times. DDP does not support such use cases in default. You can try to use _set_static_graph() as a workaround if your module graph does not change over iterations.
Parameter at index 159 has been marked as ready twice. This means that multiple autograd engine  hooks have fired for this particular parameter during this iteration. You can set the environment variable TORCH_DISTRIBUTED_DEBUG to either INFO or DETAIL to print parameter names for further debugging.
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ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 14308) of binary: /opt/conda/bin/python
Traceback (most recent call last):
  File "/opt/conda/bin/accelerate-launch", line 8, in <module>
    sys.exit(main())
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 929, in main
    launch_command(args)
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 914, in launch_command
    multi_gpu_launcher(args)
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 603, in multi_gpu_launcher
    distrib_run.run(args)
  File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 753, in run
    elastic_launch(
  File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
finetune.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-03-30_13:21:14
  host      : cdbe7829d9d2
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 14308)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
johnsmith0031 / alpaca_lora_4bit

Runtime Error: Expected to mark a variable ready only once #46
