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This seems to happen at shutdown in any data pipeline that has NumPy arrays. Here is the full stacktrace:
INFO:absl:Process 0 exiting.
INFO:absl:Processing complete for process with worker_index 0
INFO:absl:Grain pool is exiting.
INFO:absl:Shutting down multiprocessing system.
INFO:absl:Shutting down multiprocessing system.
Exception ignored in: <function SharedMemoryArray.__del__ at 0x7e3b780a8a60>
Traceback (most recent call last):
File "/home/black/micromamba/envs/trainpi/lib/python3.10/site-packages/grain/_src/python/shared_memory_array.py", line 139, in __del__
AttributeError: 'NoneType' object has no attribute 'mmap'
/home/black/micromamba/envs/trainpi/lib/python3.10/multiprocessing/resource_tracker.py:224: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
Even if it's not an actual problem, it's a bit annoying because it overwhelms the logging output when you have many workers.
This seems to happen at shutdown in any data pipeline that has NumPy arrays. Here is the full stacktrace:
Even if it's not an actual problem, it's a bit annoying because it overwhelms the logging output when you have many workers.
Here's the simplest possible repro:
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