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firestar5683
50 lines
2.0 KiB
Python
50 lines
2.0 KiB
Python
import multiprocessing, atexit, signal, sys, threading, contextlib
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from multiprocessing.context import SpawnContext, SpawnProcess
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from tinygrad.helpers import Context, getenv, PARALLEL
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# generic pool of worker processes for parallel compilation, shared by kernel lowering and BEAM search
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# workers should not open devices and should ignore ctrl c and should not launch VIZ
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def _init_worker():
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Context(ALLOW_DEVICE_USAGE=0, VIZ=0, TRACK_MATCH_STATS=0).__enter__()
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signal.signal(signal.SIGINT, signal.SIG_IGN)
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# spawn normally reimports the user's __main__ before _init_worker. This replays top-level code and can recursively create pools. There is no public
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# multiprocessing switch to skip that import, so hide the two attributes used to locate __main__ while each worker (including replacements) starts.
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_spawn_lock, _missing = threading.Lock(), object()
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@contextlib.contextmanager
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def _without_main():
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main = sys.modules.get("__main__")
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if main is None:
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yield
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return
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with _spawn_lock:
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saved = {name:getattr(main, name, _missing) for name in ("__file__", "__spec__")}
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try:
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for name in saved: setattr(main, name, None)
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yield
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finally:
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for name,value in saved.items(): delattr(main, name) if value is _missing else setattr(main, name, value)
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class _WorkerProcess(SpawnProcess):
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@staticmethod
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def _Popen(process_obj):
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with _without_main(): return SpawnProcess._Popen(process_obj)
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class _WorkerContext(SpawnContext): Process = _WorkerProcess
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worker_pool = None
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def get_worker_pool():
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global worker_pool
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if multiprocessing.current_process().daemon or PARALLEL == 0: return None
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if worker_pool is None:
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worker_pool = _WorkerContext().Pool(PARALLEL.value, _init_worker, (), getenv("BEAM_MAX_TASKS_PER_CHILD", 16))
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@atexit.register
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def close_pool(pool=worker_pool): pool.close()
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return worker_pool
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def terminate_worker_pool():
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global worker_pool
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if worker_pool is not None: worker_pool.terminate()
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worker_pool = None
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