Files
aituner/runs/opprof-phase3/provenance/verify_sidecar_shutdown.py
Gahow Wang d5b276180d Add OpProf campaign: protocols, results, patches, run evidence (P0-P6)
Workload-conditioned operator profiling on patched vLLM 0.24.0 +
Qwen3-30B-A3B/H20. H1b PASS (irregular patterns carry +23-45pp R64
raggedness, 8-45% token-efficiency loss vs rectangular controls);
mechanism decomposition kills the padding narrative and finds the
arrival-uniformization artifact (-12.9%); cross-version churn surface
shows TP2/MNS64 -29.4% across vLLM 0.20->0.24 while the argmax held.
Raw Layer-1 JSONL streams (507 MB) stay on disk, git-ignored; footer
sidecars and metrics are tracked.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-13 11:06:10 +08:00

393 lines
13 KiB
Python

#!/usr/bin/env python3
"""GPU verification of graceful and hard-kill OpProf accounting."""
from __future__ import annotations
import json
import os
import shlex
import signal
import subprocess
import time
import urllib.request
from pathlib import Path
from typing import Any
WORKDIR = Path("/home/admin/cpfs/wjh/opprof-phase3-dash0-20260712")
RUN_ROOT = WORKDIR / "runs/e-b-sidecar-verification"
SOURCE = Path(
"/home/admin/cpfs/wjh/opprof-phase2-dash0-20260711/vllm-v0.24.0"
)
VENV = Path("/tmp/wjh-opprof-phase2-dash0-20260711/.venv")
MODEL = Path("/home/admin/cpfs/wjh/models/Qwen/Qwen3-30B-A3B")
CLIENT = WORKDIR / "scripts/opprof_phase3_client.py"
MANIFEST = Path("/home/admin/cpfs/wjh/opprof-phase3-private/manifests/P01.jsonl")
FLUSH_INTERVAL_SECONDS = 1.0
CHECKPOINT_TOLERANCE_SECONDS = 0.1
def atomic_json(path: Path, value: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
temporary = path.with_name(f"{path.name}.tmp-{os.getpid()}")
with temporary.open("w", encoding="utf-8") as output:
json.dump(value, output, indent=2, sort_keys=True)
output.write("\n")
output.flush()
os.fsync(output.fileno())
os.replace(temporary, path)
def run_text(command: list[str], check: bool = True) -> str:
result = subprocess.run(
command,
text=True,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
)
if check and result.returncode:
raise RuntimeError(
f"command failed ({result.returncode}): {shlex.join(command)}\n"
f"{result.stdout}"
)
return result.stdout
def gpu_rows() -> list[dict[str, int]]:
output = run_text(
[
"nvidia-smi",
"--query-gpu=index,memory.used,utilization.gpu",
"--format=csv,noheader,nounits",
]
)
rows = []
for line in output.strip().splitlines():
index, memory, utilization = (int(value.strip()) for value in line.split(","))
rows.append(
{
"index": index,
"memory_mib": memory,
"utilization_pct": utilization,
}
)
return rows
def compute_apps() -> str:
return run_text(
[
"nvidia-smi",
"--query-compute-apps=gpu_uuid,pid,process_name,used_memory",
"--format=csv,noheader,nounits",
],
check=False,
).strip()
def assert_idle() -> list[dict[str, int]]:
rows = gpu_rows()
if any(row["memory_mib"] or row["utilization_pct"] for row in rows):
raise RuntimeError(f"dash0 is not GPU-idle: {rows}")
applications = compute_apps()
if applications:
raise RuntimeError(f"compute applications present: {applications}")
return rows
def wait_ready(process: subprocess.Popen[Any], port: int) -> None:
deadline = time.monotonic() + 300
while time.monotonic() < deadline:
if process.poll() is not None:
raise RuntimeError("server exited before readiness")
try:
with urllib.request.urlopen(
f"http://127.0.0.1:{port}/health", timeout=1
) as response:
if response.status == 200:
return
except Exception:
pass
time.sleep(1)
raise TimeoutError("server readiness timeout")
def wait_zero() -> tuple[list[list[dict[str, int]]], float]:
samples: list[list[dict[str, int]]] = []
consecutive = 0
deadline = time.monotonic() + 180
while time.monotonic() < deadline and consecutive < 3:
rows = gpu_rows()
samples.append(rows)
zero = all(row["memory_mib"] == 0 for row in rows) and not compute_apps()
consecutive = consecutive + 1 if zero else 0
if consecutive < 3:
time.sleep(2)
if consecutive < 3:
raise RuntimeError("GPUs did not reach three stable zero samples")
return samples, time.time()
def wait_fresh_sidecar(run_dir: Path) -> dict[str, Any]:
deadline = time.monotonic() + 10
while time.monotonic() < deadline:
files = sorted((run_dir / "opprof").glob("*.jsonl.footer.json"))
if len(files) == 1:
sidecar = json.loads(files[0].read_text())
age = time.time_ns() - sidecar["checkpoint_wall_ns"]
if 0 <= age <= 250_000_000:
return sidecar
time.sleep(0.02)
raise TimeoutError("could not observe a fresh OpProf sidecar")
def validate_accounting(
run_dir: Path, mode: str, termination_wall_ns: int
) -> dict[str, Any]:
streams = sorted((run_dir / "opprof").glob("*.jsonl"))
sidecars = sorted((run_dir / "opprof").glob("*.jsonl.footer.json"))
if len(streams) != 1 or len(sidecars) != 1:
raise RuntimeError(
f"expected one stream/sidecar, got {len(streams)}/{len(sidecars)}"
)
raw = streams[0].read_bytes()
if not raw.endswith(b"\n"):
raise RuntimeError("partial final JSONL line")
decoded = [json.loads(line) for line in raw.splitlines()]
footers = [row for row in decoded if row.get("record_type") == "footer"]
records = [row for row in decoded if row.get("record_type") != "footer"]
sidecar = json.loads(sidecars[0].read_text())
indices = [row["step_index"] for row in records]
checkpoint_age = (
termination_wall_ns - sidecar["checkpoint_wall_ns"]
) / 1e9
common = {
"all_schema_1": all(row.get("schema") == 1 for row in decoded)
and sidecar.get("schema") == 1,
"steps_contiguous": indices == list(range(len(indices))),
"written_matches_records": sidecar["written_records"] == len(records),
"encoded_balanced": sidecar["encoded_records"]
== sidecar["written_records"] + sidecar["dropped_records"],
"last_step_matches": bool(records)
and sidecar["last_step_index"] == records[-1]["step_index"],
"zero_drops": sidecar["dropped_records"] == 0
and all(row["dropped_records_before"] == 0 for row in records),
}
if mode == "graceful":
footer_ok = len(footers) == 1 and decoded[-1] is footers[0]
agreement = footer_ok and all(
footers[0][counter] == sidecar[counter]
for counter in ("encoded_records", "written_records", "dropped_records")
)
specific = {
"one_footer_last": footer_ok,
"final_sidecar": sidecar["final"] is True,
"footer_sidecar_agree": agreement,
}
else:
specific = {
"no_in_stream_footer": not footers,
"checkpoint_sidecar": sidecar["final"] is False,
"checkpoint_within_bound": checkpoint_age
<= FLUSH_INTERVAL_SECONDS + CHECKPOINT_TOLERANCE_SECONDS,
}
invariants = {**common, **specific}
if not all(invariants.values()):
raise RuntimeError(
f"{mode} accounting invalid: {invariants}; sidecar={sidecar}"
)
return {
"stream": str(streams[0]),
"sidecar": str(sidecars[0]),
"bytes": len(raw),
"records": len(records),
"footer_count": len(footers),
"checkpoint_age_seconds": checkpoint_age,
"counters": {
key: sidecar[key]
for key in ("encoded_records", "written_records", "dropped_records")
},
"last_step_index": sidecar["last_step_index"],
"invariants": invariants,
}
def run_trial(mode: str, port: int) -> dict[str, Any]:
run_dir = RUN_ROOT / mode
if run_dir.exists():
raise RuntimeError(f"refusing to overwrite {run_dir}")
run_dir.mkdir(parents=True)
before = assert_idle()
atomic_json(run_dir / "gpu-before.json", before)
(run_dir / "clocks-before.txt").write_text(
run_text(["nvidia-smi", "-q", "-d", "CLOCK"])
)
server_command = [
"taskset",
"-c",
"0-19",
str(VENV / "bin/vllm"),
"serve",
str(MODEL),
"--host",
"127.0.0.1",
"--port",
str(port),
"--tensor-parallel-size",
"1",
"--enable-chunked-prefill",
"--enable-prefix-caching",
"--shutdown-timeout",
"120",
]
client_command = [
"taskset",
"-c",
"0-19",
str(VENV / "bin/python"),
str(CLIENT),
"run",
"--manifest",
str(MANIFEST),
"--base-url",
f"http://127.0.0.1:{port}",
"--model",
str(MODEL),
"--load-point",
"saturation",
"--request-rate",
"inf",
"--max-concurrency",
"256",
"--ignore-eos",
"--temperature",
"0",
"--warmup-seconds",
"20",
"--clean-segment-seconds",
"40",
"--num-clean-segments",
"3",
"--drain-timeout-seconds",
"120",
"--workload-seed",
"20260712",
"--result-dir",
str(run_dir / "client"),
]
with (run_dir / "commands.log").open("w", encoding="utf-8") as output:
output.write(
f"GPU_COMMAND {mode} server: {shlex.join(server_command)}; "
"expected=60-180s startup + 140-180s load\n"
)
output.write(
f"GPU_COMMAND {mode} client: {shlex.join(client_command)}; "
"expected=20s warmup + 120s clean + drain\n"
)
environment = os.environ.copy()
environment.update(
{
"CUDA_VISIBLE_DEVICES": "0",
"VLLM_OPPROF_DIR": str(run_dir / "opprof"),
"HF_HUB_OFFLINE": "1",
"TRANSFORMERS_OFFLINE": "1",
"PYTHONUNBUFFERED": "1",
}
)
started = time.time()
server_log = (run_dir / "server.log").open("ab", buffering=0)
server: subprocess.Popen[Any] | None = None
try:
print(
f"GPU_COMMAND sidecar-{mode}: P01/C00 GPU0, 20s warmup + "
"120s clean, expected 4-6 wall-min",
flush=True,
)
server = subprocess.Popen(
server_command,
cwd=SOURCE,
env=environment,
stdout=server_log,
stderr=subprocess.STDOUT,
start_new_session=True,
)
atomic_json(
run_dir / "state.json",
{"status": "server_starting", "server_pid": server.pid},
)
wait_ready(server, port)
with (run_dir / "client.log").open("ab", buffering=0) as client_log:
client = subprocess.run(
client_command,
cwd=WORKDIR,
stdout=client_log,
stderr=subprocess.STDOUT,
)
if client.returncode:
raise RuntimeError(f"client exited {client.returncode}")
if mode == "graceful":
termination_wall_ns = time.time_ns()
os.kill(server.pid, signal.SIGINT)
server.wait(timeout=150)
log_text = (run_dir / "server.log").read_text(errors="replace")
if "mode=drain timeout=120s" not in log_text:
raise RuntimeError("official drain-mode log not observed")
else:
wait_fresh_sidecar(run_dir)
termination_wall_ns = time.time_ns()
os.killpg(server.pid, signal.SIGKILL)
server.wait(timeout=30)
zero_samples, zero_at = wait_zero()
accounting = validate_accounting(run_dir, mode, termination_wall_ns)
client_result = json.loads((run_dir / "client/result.json").read_text())
result = {
"schema": 1,
"status": "pass",
"mode": mode,
"server_returncode": server.returncode,
"termination_wall_ns": termination_wall_ns,
"accounting": accounting,
"clean": client_result["clean"],
"failed_records": client_result["failed_records"],
"gpu_zero_samples": zero_samples,
"gpu_seconds": zero_at - started,
}
atomic_json(run_dir / "result.json", result)
atomic_json(run_dir / "state.json", {"status": "complete"})
return result
except Exception as error:
atomic_json(
run_dir / "state.json",
{"status": "failed", "failure": repr(error)},
)
if server is not None and server.poll() is None:
try:
os.killpg(server.pid, signal.SIGKILL)
except ProcessLookupError:
pass
wait_zero()
raise
finally:
server_log.close()
def main() -> None:
if RUN_ROOT.exists():
raise RuntimeError(f"refusing to overwrite {RUN_ROOT}")
RUN_ROOT.mkdir(parents=True)
state: dict[str, Any] = {"schema": 1, "status": "running", "results": {}}
atomic_json(RUN_ROOT / "state.json", state)
for offset, mode in enumerate(("graceful", "hard-kill")):
result = run_trial(mode, 8010 + offset)
state["results"][mode] = result
atomic_json(RUN_ROOT / "state.json", state)
state["status"] = "complete"
state["gpu_seconds"] = sum(
result["gpu_seconds"] for result in state["results"].values()
)
atomic_json(RUN_ROOT / "state.json", state)
print(json.dumps(state, sort_keys=True), flush=True)
if __name__ == "__main__":
main()