Setting ultralytics workers=0 seems to work as per the thread above!

@<1523701070390366208:profile|CostlyOstrich36> I don't think it's related to disk, I think it's related to shm

But I could be wrong

On prem is also K8s? Question is if you run the code unrelated to ClearML on EKS, do you still get the same issue?

It did work on clearml on prem with docker_args=["--network=host", "--ipc=host"]

Although that's not ideal as it turns off CPU parallelisation

Code to enqueue

from clearml import Task

task = Task.create(
    script="script.py",
    docker="ultralytics/ultralytics:latest",
    docker_args=["--network=host", "--ipc=host", "--shm_size=55G"],
)

task.enqueue(task, "default")

On prem is not K8s

None

ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
�Traceback (most recent call last):
  File "/root/.clearml/venvs-builds/3.10/task_repository/script.py", line 36, in <module>
Traceback (most recent call last):
  File "/opt/conda/lib/python3.10/multiprocessing/queues.py", line 244, in _feed
    obj = _ForkingPickler.dumps(obj)
  File "/opt/conda/lib/python3.10/multiprocessing/reduction.py", line 51, in dumps
    cls(buf, protocol).dump(obj)
  File "/opt/conda/lib/python3.10/site-packages/torch/multiprocessing/reductions.py", line 568, in reduce_storage
    fd, size = storage._share_fd_cpu_()
  File "/opt/conda/lib/python3.10/site-packages/torch/storage.py", line 304, in wrapper
    return fn(self, *args, **kwargs)
  File "/opt/conda/lib/python3.10/site-packages/torch/storage.py", line 374, in _share_fd_cpu_
    return super()._share_fd_cpu_(*args, **kwargs)
RuntimeError: unable to write to file </torch_670_1874874997_0>: No space left on device (28)
    results = model.train(
  File "/ultralytics/ultralytics/engine/model.py", line 815, in train
    self.trainer.train()
  File "/ultralytics/ultralytics/engine/trainer.py", line 208, in train
    self._do_train(world_size)
  File "/ultralytics/ultralytics/engine/trainer.py", line 328, in _do_train
    self._setup_train(world_size)
  File "/ultralytics/ultralytics/engine/trainer.py", line 295, in _setup_train
    self.test_loader = self.get_dataloader(
  File "/ultralytics/ultralytics/models/yolo/detect/train.py", line 55, in get_dataloader
    return build_dataloader(dataset, batch_size, workers, shuffle, rank)  # return dataloader
  File "/ultralytics/ultralytics/data/build.py", line 135, in build_dataloader
    return InfiniteDataLoader(
  File "/ultralytics/ultralytics/data/build.py", line 39, in __init__
    self.iterator = super().__iter__()
  File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 439, in __iter__
    return self._get_iterator()
  File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 387, in _get_iterator
    return _MultiProcessingDataLoaderIter(self)
  File "/opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1022, in __init__
    index_queue = multiprocessing_context.Queue()  # type: ignore[var-annotated]
  File "/opt/conda/lib/python3.10/multiprocessing/context.py", line 103, in Queue
    return Queue(maxsize, ctx=self.get_context())
  File "/opt/conda/lib/python3.10/multiprocessing/queues.py", line 43, in __init__
    self._rlock = ctx.Lock()
  File "/opt/conda/lib/python3.10/multiprocessing/context.py", line 68, in Lock
    return Lock(ctx=self.get_context())
  File "/opt/conda/lib/python3.10/multiprocessing/synchronize.py", line 162, in __init__
    SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
  File "/opt/conda/lib/python3.10/multiprocessing/synchronize.py", line 57, in __init__
    sl = self._semlock = _multiprocessing.SemLock(
OSError: [Errno 28] No space left on device
Traceback (most recent call last):
  File "/opt/conda/lib/python3.10/multiprocessing/queues.py", line 244, in _feed
    obj = _ForkingPickler.dumps(obj)
  File "/opt/conda/lib/python3.10/multiprocessing/reduction.py", line 51, in dumps
    cls(buf, protocol).dump(obj)
  File "/opt/conda/lib/python3.10/site-packages/torch/multiprocessing/reductions.py", line 568, in reduce_storage
    fd, size = storage._share_fd_cpu_()
  File "/opt/conda/lib/python3.10/site-packages/torch/storage.py", line 304, in wrapper
    return fn(self, *args, **kwargs)
  File "/opt/conda/lib/python3.10/site-packages/torch/storage.py", line 374, in _share_fd_cpu_
    return super()._share_fd_cpu_(*args, **kwargs)
RuntimeError: unable to write to file </torch_630_2165375255_1>: No space left on device (28)
ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
�ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
�Traceback (most recent call last):

I think you're right. But it looks like an infrastructure issue related to Yolo

Running on K8s on AWS

Hi @<1734020162731905024:profile|RattyBluewhale45> , from the error it looks like there is no space left on the pod. Are you able to run this code manually?