Evidence-only change: probe kit (serve wrapper, API client, PSNR
comparator, offline fp8_v driver), per-host run summaries, and the
findings report. No code changes to the stack.
Verdicts: not-built on both cards. On the 3090 the served reference
ceiling is two condition images with the conditioning cache on
(2.2x the Diffusers nocache baseline, pair PSNR mean 27.57 dB);
four references OOM on the resident BF16 working set, not the KV
(~0.3 GiB/reference, per-request). On the 5080 the server cannot
initialize under any flag: init_parameters materializes the
unquantized skeleton on-device before quantization/offload engage.
Also documents that the recipe's deploy-YAML extras route for
prefix_kv_cache_dtype does not reach the served transformer on
8484d85d (offline Omni engine kwarg does).
164 lines
5.4 KiB
Python
164 lines
5.4 KiB
Python
#!/usr/bin/env python
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"""Issue 2 probe client: reference-conditioned requests through the API.
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Functional pass: one-, two-, and four-reference fixtures at seed 2301.
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Measured pass: the four-reference fixture at seeds 2301-2304.
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Every request mirrors the sealed Diffusers baseline attempt
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2026-10-07T170729Z-q3-4r (same frozen references, same rendered prompt,
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20 steps, true_cfg_scale 1.0, fixture resolution, no negative prompt),
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submitted one at a time through POST /v1/images/edits.
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Usage: probe.py --out RUN_DIR [--functional] [--measured] [--host H:P]
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"""
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from __future__ import annotations
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import argparse
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import base64
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import hashlib
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import json
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import pathlib
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import time
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import requests
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W = pathlib.Path.home() / "Projects/vllm-omni-val/issue2"
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SUITE = (
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pathlib.Path.home()
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/ ".local/share/multi-model-helper-server/data/evaluation/media/image/references-suite-2"
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)
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STEPS = 20
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CFG = 1.0
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FUNCTIONAL_FIXTURES = (
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"edit-expression-ysolde", # 1 reference
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"edit-compose-pair", # 2 references
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"edit-compose-four", # 4 references
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)
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MEASURED_FIXTURE = "edit-compose-four"
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MEASURED_SEEDS = (2301, 2302, 2303, 2304)
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def submit(host: str, fixture: dict, seed: int) -> tuple[dict, bytes | None]:
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files = []
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handles = []
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for ref in fixture["references"]:
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path = SUITE / f"{ref}.png"
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handle = open(path, "rb")
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handles.append(handle)
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files.append(("image[]", (path.name, handle, "image/png")))
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data = {
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"model": "Qwen/Qwen-Image-2.1",
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"prompt": fixture["prompt"],
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"seed": str(seed),
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"num_inference_steps": str(STEPS),
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"true_cfg_scale": str(CFG),
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"size": f"{fixture['width']}x{fixture['height']}",
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"n": "1",
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"response_format": "b64_json",
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"output_format": "png",
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"return_stage_metrics": "true",
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}
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rec: dict = {
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"fixture_id": None,
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"seed": seed,
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"n_references": len(fixture["references"]),
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"steps": STEPS,
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"true_cfg_scale": CFG,
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"size": f"{fixture['width']}x{fixture['height']}",
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}
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t0 = time.time()
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try:
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response = requests.post(
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f"http://{host}/v1/images/edits", data=data, files=files, timeout=1200
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)
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rec["wall_s"] = round(time.time() - t0, 2)
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rec["http"] = response.status_code
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if response.status_code == 200:
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body = response.json()
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png = base64.b64decode(body["data"][0]["b64_json"])
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rec["bytes"] = len(png)
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rec["sha256"] = hashlib.sha256(png).hexdigest()
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rec["usage"] = body.get("usage")
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for key in ("stage_metrics", "metrics", "timings"):
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if body.get(key):
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rec[key] = body[key]
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return rec, png
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rec["error"] = response.text[:2000]
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return rec, None
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except Exception as exc: # noqa: BLE001 - recorded as the probe result
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rec["wall_s"] = round(time.time() - t0, 2)
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rec["error"] = f"{type(exc).__name__}: {exc}"
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return rec, None
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finally:
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for handle in handles:
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handle.close()
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def main() -> int:
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parser = argparse.ArgumentParser()
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parser.add_argument("--out", required=True, type=pathlib.Path)
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parser.add_argument("--host", default="127.0.0.1:8091")
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parser.add_argument("--functional", action="store_true")
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parser.add_argument("--measured", action="store_true")
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parser.add_argument(
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"--fixture",
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default=MEASURED_FIXTURE,
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help="fixture id for --measured (default: edit-compose-four)",
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)
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parser.add_argument(
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"--seeds",
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type=lambda s: tuple(int(x) for x in s.split(",")),
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default=MEASURED_SEEDS,
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help="comma-separated seeds for --measured",
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)
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args = parser.parse_args()
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fixtures = json.loads((W / "fixtures.json").read_text())
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args.out.mkdir(parents=True, exist_ok=True)
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plan: list[tuple[str, pathlib.Path, int]] = []
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if args.functional:
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for fixture_id in FUNCTIONAL_FIXTURES:
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plan.append(
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(fixture_id, args.out / "functional" / f"{fixture_id}.png", 2301)
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)
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if args.measured:
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for seed in args.seeds:
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plan.append(
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(
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args.fixture,
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args.out / "measured" / f"{args.fixture}.s{seed}.png",
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seed,
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)
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)
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records = []
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for fixture_id, out_path, seed in plan:
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rec, png = submit(args.host, fixtures[fixture_id], seed)
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rec["fixture_id"] = fixture_id
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records.append(rec)
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print(json.dumps(rec), flush=True)
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if png is not None:
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out_path.parent.mkdir(parents=True, exist_ok=True)
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out_path.write_bytes(png)
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elif rec.get("http") == 200:
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print(f"warning: 200 but no image for {fixture_id} seed {seed}", flush=True)
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suffix_parts = []
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if args.functional:
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suffix_parts.append("functional")
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if args.measured:
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suffix_parts.append(f"measured-{args.fixture}")
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suffix = "-".join(suffix_parts)
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(args.out / f"{suffix}.json").write_text(
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json.dumps(records, indent=1) + "\n"
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)
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ok = all(r.get("http") == 200 and "sha256" in r for r in records)
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print(("PASS" if ok else "FAIL") + f" {len(records)} requests", flush=True)
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return 0 if ok else 1
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if __name__ == "__main__":
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raise SystemExit(main())
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