This is the error message:
Traceback (most recent call last):
File "/home/emoman/Downloads/mosei/messai/run_audio_classification.py", line 606, in <module>
main()
File "/home/emoman/Downloads/mosei/messai/run_audio_classification.py", line 580, in main
train_result = trainer.train(resume_from_checkpoint=checkpoint)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/transformers/trainer.py", line 1553, in train
return inner_training_loop(
^^^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/transformers/trainer.py", line 1835, in _inner_training_loop
tr_loss_step = self.training_step(model, inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/transformers/trainer.py", line 2690, in training_step
self.accelerator.backward(loss)
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/accelerate/accelerator.py", line 1923, in backward
loss.backward(**kwargs)
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/_tensor.py", line 487, in backward
torch.autograd.backward(
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/autograd/__init__.py", line 200, in backward
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/autograd/function.py", line 274, in apply
return user_fn(self, *args)
^^^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/utils/checkpoint.py", line 157, in backward
torch.autograd.backward(outputs_with_grad, args_with_grad)
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/autograd/__init__.py", line 200, in backward
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
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 392 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.
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1313298) of binary: /home/emoman/Downloads/stable/bin/python
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/run.py", line 798, in <module>
main()
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
return f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/run.py", line 794, in main
run(args)
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/launcher/api.py", line 134, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/emoman/Downloads/stable/lib/python3.11/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: