File size: 2,570 Bytes
fa05bf1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | """Minimal repro for ray#60904: nsys report missing when GPU actor is profiled.
A/B on process_group_cleanup_enabled. Driver stays alive; actor exits explicitly.
"""
import argparse, glob, os, subprocess, sys, time
import ray
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--group-cleanup", choices=("on", "off"), default="on")
ap.add_argument("--teardown", choices=("wait", "immediate"), default="wait")
args = ap.parse_args()
cfg = {} if args.group_cleanup == "on" else {"process_group_cleanup_enabled": False}
ctx = ray.init(address="local", num_gpus=1, include_dashboard=False,
_system_config=cfg, logging_level="ERROR")
session = ctx.address_info["session_dir"]
nsight = {"t": "cuda,nvtx", "sample": "none", "cpuctxsw": "none",
"stop-on-exit": "true"}
@ray.remote(num_gpus=1, runtime_env={"nsight": nsight}, max_restarts=0)
class GpuActor:
def work(self):
import torch
x = torch.randn(2048, 2048, device="cuda")
for _ in range(30):
x = x @ x
torch.cuda.synchronize()
return os.getpid()
def stop(self):
ray.actor.exit_actor()
a = GpuActor.remote()
wpid = ray.get(a.work.remote())
# process tree snapshot while alive
tree = subprocess.run(["ps", "-o", "pid,ppid,pgid,stat,args", "-p", str(wpid)],
capture_output=True, text=True).stdout
print(f"[{args.group_cleanup}] worker python PID={wpid}")
print(tree.strip())
if args.teardown == "immediate":
# Mirror workload's ds.materialize() -> ray.shutdown() with no wait.
del a
ray.shutdown()
reps = glob.glob(f"{session}/logs/nsight/*.nsys-rep")
ok = reps and os.path.getsize(reps[0]) > 0
print(f"[{args.group_cleanup}/immediate] RESULT: {'REP OK' if ok else 'NO REP'}")
return
try:
ray.get(a.stop.remote())
except Exception:
pass
# driver stays alive; poll for the rep for up to 20s
reps = []
for _ in range(20):
time.sleep(1)
reps = glob.glob(f"{session}/logs/nsight/*.nsys-rep")
if reps and os.path.getsize(reps[0]) > 0:
break
if reps and os.path.getsize(reps[0]) > 0:
print(f"[{args.group_cleanup}] RESULT: REP OK ({os.path.getsize(reps[0])//1024} KB)")
else:
print(f"[{args.group_cleanup}] RESULT: NO REP (nsight dir: {glob.glob(session+'/logs/nsight/*')})")
ray.shutdown()
if __name__ == "__main__":
main()
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