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https://github.com/firestar5683/StarPilot.git
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63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
"""Fresh bounded numerical/replay actor. Invoked only by optional learner owner."""
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import gc
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import json
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import os
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import resource
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import sys
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MAX_INPUT = 8 * 1024 * 1024
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MAX_OUTPUT = 65536
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MAX_AS = 2 * 1024 * 1024 * 1024
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MAX_CPU = 20
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def main():
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try:
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if sys.platform.startswith('linux'):
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import ctypes
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import signal
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parent = int(os.environ['STARPILOT_FLM_PARENT_PID'])
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if ctypes.CDLL(None).prctl(1, signal.SIGKILL, 0, 0, 0) != 0 or os.getppid() != parent:
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raise ValueError('fitter parent disappeared')
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if hasattr(os, 'sched_setscheduler'):
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os.sched_setscheduler(0, os.SCHED_OTHER, os.sched_param(0))
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os.nice(10)
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for kind, ceiling in ((resource.RLIMIT_AS, MAX_AS), (resource.RLIMIT_CPU, MAX_CPU)):
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soft, hard = resource.getrlimit(kind)
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limit = min((ceiling, *[v for v in (soft, hard) if v >= 0]))
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resource.setrlimit(kind, (limit, hard))
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raw = sys.stdin.buffer.read(MAX_INPUT + 1)
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if len(raw) > MAX_INPUT:
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raise ValueError('fit input bound')
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snapshot = json.loads(raw)
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from openpilot.starpilot.flm.native_primitives import enable_fit_worker
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enable_fit_worker()
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from openpilot.starpilot.flm.learner_factory import fit_snapshot
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# One isolated, address-space/CPU-bounded job. Reference counting remains
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# active; avoid repeated cycle scans of the same large replay input graph.
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was_enabled = gc.isenabled()
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try:
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gc.disable()
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result = fit_snapshot(snapshot)
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finally:
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if was_enabled:
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gc.enable()
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else:
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gc.disable()
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encoded = json.dumps(result, separators=(',', ':'), allow_nan=False).encode()
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if len(encoded) > MAX_OUTPUT:
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raise ValueError('fit result bound')
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sys.stdout.buffer.write(encoded)
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sys.stdout.buffer.flush()
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return 0
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except (Exception, MemoryError):
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# Optional process failure never modifies command owners or their state.
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return 1
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if __name__ == '__main__':
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raise SystemExit(main())
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