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