diff --git a/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py b/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py index 0a69187d9..d7f261971 100644 --- a/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py +++ b/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py @@ -8,6 +8,7 @@ import asyncio import hashlib import json import math +import platform import time import wave from pathlib import Path @@ -41,6 +42,9 @@ async def main() -> None: parser.add_argument("--repeats", type=int, default=20) parser.add_argument("--reserve-gib", type=int, default=10) parser.add_argument("--abort-check", action="store_true") + parser.add_argument("--allow-platform-variation", action="store_true") + parser.add_argument("--overlay-marker-sha256") + parser.add_argument("--expect-admission-refusal", action="store_true") args = parser.parse_args() if args.warmups < 0 or args.repeats <= 0 or not 0 < args.reserve_gib <= 16: parser.error("invalid profile or budget") @@ -55,6 +59,7 @@ async def main() -> None: "python_sha256": args.python_sha256, "model_dir": args.model_dir, "overlay_dir": args.overlay_dir, + "overlay_marker_sha256": args.overlay_marker_sha256, "talker_sha256": args.talker_sha256, "tokenizer_sha256": args.tokenizer_sha256, "log_file": args.server_log, @@ -81,7 +86,9 @@ async def main() -> None: configs = [stage.to_omegaconf() for stage in merge_pipeline_deploy(pipeline, deploy)] runtime = StageRuntime(configs, "local-qwen-tts-cpu", "", stage_init_timeout=180, async_chunk=False) report = { - "scope": "complete resident native Windows CPU Qwen3-TTS text-to-WAV through Omni", + "scope": "complete resident local CPU Qwen3-TTS text-to-WAV through Omni", + "host_os": platform.platform(), + "allow_platform_variation": args.allow_platform_variation, "warmup_count": args.warmups, "measured_count": args.repeats, "memory_budget": deploy.stages[0].resource_budget, @@ -90,6 +97,16 @@ async def main() -> None: stop_sampling = asyncio.Event() try: started = time.perf_counter() + if args.expect_admission_refusal: + try: + runtime.initialize() + except Exception as exc: + if "exceed reservation" not in str(exc): + raise + report["admission_refusal"] = f"{type(exc).__name__}: {exc}" + report["status"] = "passed" + return + raise AssertionError("Qwen CPU TTS accepted an insufficient reservation") runtime.initialize() report["startup_s"] = time.perf_counter() - started pool = runtime.stage_pools[0] @@ -168,7 +185,7 @@ async def main() -> None: report["standalone_pcm_parity"] = [ row["pcm_sha256"] == digest for row, digest in zip(report["checks"], expected) ] - if report["standalone_pcm_parity"] != [True, True]: + if report["standalone_pcm_parity"] != [True, True] and not args.allow_platform_variation: raise RuntimeError("CPU Omni PCM differs from the same checkpoint's standalone output") report["warmups"] = [await request_one(first) for _ in range(args.warmups)] report["measured"] = [await request_one(first, save=i == 0) for i in range(args.repeats)] diff --git a/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu_entrypoint.py b/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu_entrypoint.py index 1f2731f5e..2e9a2899b 100644 --- a/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu_entrypoint.py +++ b/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu_entrypoint.py @@ -22,6 +22,12 @@ async def main() -> None: "tokenizer_sha256", "server_log", "output_report", ): parser.add_argument("--" + name.replace("_", "-"), required=True) + parser.add_argument("--overlay-marker-sha256") + parser.add_argument("--expected-frames", type=int, default=109440) + parser.add_argument( + "--expected-pcm-sha256", + default="c8a49b5c73efd642a1eb04be973d6aefdc8ed9cfd18b34ff67690b8464906bed", + ) args = parser.parse_args() from vllm_omni.entrypoints.async_omni import AsyncOmni @@ -33,6 +39,7 @@ async def main() -> None: "python_sha256": args.python_sha256, "model_dir": args.model_dir, "overlay_dir": args.overlay_dir, + "overlay_marker_sha256": args.overlay_marker_sha256, "talker_sha256": args.talker_sha256, "tokenizer_sha256": args.tokenizer_sha256, "log_file": args.server_log, @@ -87,8 +94,8 @@ async def main() -> None: report["request_wall_s"] = time.perf_counter() - started report["outputs"] = outputs assert len(outputs) == 1 and outputs[0]["request_id"] == "public-cpu-tts-1" - assert outputs[0]["sample_rate"] == 24000 and outputs[0]["frames"] == 109440 - assert outputs[0]["pcm_sha256"] == "c8a49b5c73efd642a1eb04be973d6aefdc8ed9cfd18b34ff67690b8464906bed" + assert outputs[0]["sample_rate"] == 24000 and outputs[0]["frames"] == args.expected_frames + assert outputs[0]["pcm_sha256"] == args.expected_pcm_sha256 report["status"] = "passed" except BaseException as exc: report["status"] = "failed" diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md index 86e2117ee..27342ad65 100644 --- a/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md @@ -4,6 +4,7 @@ This extends the [60-cell device × model matrix](../e2e_profiling_20260922/evid | Device / model | Verified depth | Observed output and time | Remaining gate | |---|---|---|---| +| WSL HX370 CPU / Qwen3-TTS 0.6B CustomVoice BF16 | Scoped complete-request Omni resident CPU whole-session stage (P for two named texts; not playable streaming) | One warmup + 20 serial requests returned identical 3.44 s WAVs; nearest-rank complete-request wall p50/p95 8.27/8.47 s (RTF 2.40/2.46), excluding 19.82 s startup. One pinned Whisper tiny.en transcription matched the reference (WER 0); public `AsyncOmni` audio, 10 GiB admission, 4 GiB refusal and cancellation drain passed. The WSL PCM differs from the native Windows output for the same checkpoint/settings. | Cross-OS numerical/quality investigation, playable streaming, post-cancel restart, loading peak, concurrency and sustained power; [raw evidence](evidence/qwen_tts_omni_wsl_cpu/README.md). | | WSL HX370 CPU / MiniCPM-o 4.5 Q4_K_M/F16 GGUF | Scoped complete-request Omni C++ whole-session graph stage (P for one synthetic combined spoken-question+image input; CPU-only model execution) | All 20 measured requests after one warmup answered the red-square question correctly with complete nonzero 24 kHz speech. Nearest-rank complete-request wall p50/p95 22.67/24.83 s; audio duration 1.60–2.92 s, maximum sampled worker RSS 13.70 GB. One WAV independently transcribed exactly (Whisper tiny.en WER 0). 24 GiB admission, 8 GiB refusal and cancellation with zero remaining ledger passed. | Real multimodal suites, playable streaming, speech alignment, post-cancel restart, loading peak, concurrency and sustained power; [raw evidence](evidence/minicpmo_omni_wsl_cpu/README.md). | | Native Windows HX370 CPU / MiniCPM-o 4.5 Q4_K_M/F16 GGUF | Scoped complete-request Omni C++ whole-session graph stage (P for one synthetic combined audio+image input) | Correct red-square answer, 2.24 s 24 kHz WAV; one cold request 24.34 s, sampled RSS 13.11 GB. 24 GiB admission, 8 GiB refusal and in-flight cancellation with zero remaining reservation passed. | Real multimodal suites, playable streaming, repeated latency, loading peak, post-cancel restart and sustained power; [raw evidence](evidence/minicpmo_omni_cpp/README.md). | | Native Windows HX370 CPU+Radeon 890M / same MiniCPM-o GGUF | Scoped complete-request Omni hybrid graph stage (P for one synthetic combined audio+image input) | Correct red-square answer, 2.60 s 24 kHz WAV; one cold request 18.27 s, sampled RSS 15.57 GB. Log verifies Radeon language+vision and CPU TTS/Token2Wav; cancellation drained without stale output or reservation. | Real multimodal suites, playable streaming, repeated/concurrent latency, loading peak and sustained power; [raw evidence](evidence/minicpmo_omni_cpp/README.md). | diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/README.md new file mode 100644 index 000000000..ee6c00444 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/README.md @@ -0,0 +1,76 @@ +# WSL CPU Qwen3-TTS complete requests through Omni + +This is a scoped text-to-complete-WAV pass on Ryzen AI 9 HX 370 under Ubuntu +26.04/WSL2 kernel `6.18.33.2-microsoft-standard-WSL2`. The public +`AsyncOmni` API and `StageRuntime` used the existing +`external.qwen_tts.cpu.v1` whole-session stage, with a resident isolated +PyTorch worker. The worker's model parameters and output are CPU-only BF16/SDPA, +eight threads, `Ryan`/English, seed 42 and `max_new_tokens=64`. CUDA is masked; +no Radeon, RTX or NPU execution is claimed. The Omni controller uses installed +vLLM 0.29.0; the worker uses PyTorch 2.13.0+cu130 on CPU, `qwen-tts` 0.1.1 and +Transformers 4.57.3. Its exact [overlay manifest](overlay_manifest.json) and +[optional-kernels CPU shim](kernels/__init__.py) are retained. The local SoX +Python package emitted a missing SoX CLI warning; the named text-to-WAV path +completed, while SoX-dependent audio-input paths were not tested. + +The checkpoint is Qwen3-TTS-12Hz-0.6B-CustomVoice revision +`85e237c12c027371202489a0ec509ded67b5e4b5`, with talker SHA256 +`bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb` +and speech-tokenizer SHA256 +`836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258`. +The stage checked both, the declared interpreter hash and the optional shim +hash before accepting requests. The [profile report](profile20.json) records +the worker's package versions, actual CPU placement and loaded memory. + +| Check | WSL CPU observation | Evidence | +|---|---|---| +| Two named complete requests | “Hello from the local computer.” returned 82,560 frames (3.44 s); “The blue car is parked beside the library.” returned 80,640 frames (3.36 s), both 24 kHz mono WAVs. | [report](profile20.json), [worker log](profile20_worker.log) | +| Serial profile | One warmup excluded; **20/20** measured first-sentence requests returned the same PCM SHA256. Nearest-rank complete-request wall p50/p95 **8.27/8.47 s** for 3.44 s audio (RTF 2.40/2.46). These are resident-worker times after 19.82 s stage startup, not first-audio latency. | [all timings and memory samples](profile20.json), [first measured WAV](profile20.wav) | +| Independent speech proxy | Pinned Whisper tiny.en transcribed the first measured WAV as “Hello from the local computer!”, WER 0 against the stated sentence. This covers one output, not perceptual or speaker quality. | [ASR report](profile20_asr.json) | +| Public API | `AsyncOmni.generate` returned one terminal audio event with the same 82,560-frame PCM hash as the measured stage run. Startup was 20.29 s; the one public request took 12.10 s. | [public report](public_report.json), [worker log](public_worker.log) | +| Admission and cancellation | A 10 GiB host-RAM reservation from a declared 16 GiB pool passed; 4 GiB was refused before worker launch. In-flight cancellation left no stale output, exited the worker and returned the ledger to zero. | [refusal report](low_budget_report.json), [profile report](profile20.json) | + +The two WSL WAV hashes and durations **differ from the same-checkpoint native +Windows CPU outputs** recorded [here](../qwen_tts_omni_cpu/README.md), despite +matching declared BF16 settings and seed. The WSL profile's own 20 repeated +outputs are identical. The cause of the cross-OS difference is not established, +so Windows PCM parity is not claimed. The first WSL output passed the named ASR +proxy, but broader speech quality and numerical agreement remain open. + +A [post-portability-change native Windows regression](windows_regression_report.json) +repeated the two named requests and one measured request with the original +Windows pins: both standalone PCM parity checks still passed, in-flight +cancellation drained the worker, and the ledger returned to zero. Its +[worker log](windows_regression_worker.log) and [WAV](windows_regression.wav) +are retained. This verifies the launch-path change did not alter the already +qualified Windows fixture; it does not explain the WSL waveform difference. + +The 0.25 s profile samples observed at most 3.39 GB summed process-tree RSS; +Linux's `psutil` private-memory fallback used RSS, so that column is not a +separate private-memory measurement. The samples do not prove loading peak, +unique physical RAM, pagefile peak or concurrent admission. No power mode or +thermal history was captured. The worker returns complete WAVs only: playable +streaming, post-cancel restart, larger prompts and sustained real-time use are +unqualified; measured RTF remains above one. + +The [first failed attempt](attempt1_report.json) resolved the Linux virtualenv +`python` symlink to a bare interpreter, which lost the venv packages. The +adapter now preserves the declared launch path while hashing its target. The +[second failed attempt](attempt2_report.json) produced both complete WAVs but +hit the probe's Windows-only PCM assertion; `--allow-platform-variation` now +records that difference explicitly. The [original logs](attempt1_driver.log), +[worker error](attempt1_worker.log), [second driver](attempt2_driver.log) and +[second worker](attempt2_worker.log) remain available. + +Reproduce with +[`probe_omni_qwen_tts_cpu.py`](../../../../experiments/probe_omni_qwen_tts_cpu.py) +and [`probe_omni_qwen_tts_cpu_entrypoint.py`](../../../../experiments/probe_omni_qwen_tts_cpu_entrypoint.py) +using the checkpoint and hashes above, the recorded Python interpreter hash +`021044895e95be79dc2f110367607e684119afbc8ce75f6f0eec94844e0acec7`, +the pinned overlay packages in the manifest, and a copy of the shim at +`/kernels/__init__.py`. Pass its SHA256 +`e155388b1045b573082534132778828a71203522f95a22680f8245362f1e06ee` +as `--overlay-marker-sha256`. The serial profile used +`--warmups 1 --repeats 20 --abort-check --allow-platform-variation`; the +public check used `--expected-frames 82560` and PCM SHA256 +`66ca76a468807381c208b21ba458e5005510c752efa89323ee909749047ab1db`. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_driver.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_driver.log new file mode 100644 index 000000000..e2c103895 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_driver.log @@ -0,0 +1,82 @@ +INFO 09-24 00:25:57 [patch.py:259] NVFP4 W4A4 weight_scale NaN-clamp: installed. +INFO 09-24 00:25:57 [patch.py:510] inductor factorable-divisibility patch: installed. +INFO 09-24 00:25:57 [patch.py:589] [cumem-cuda] CuMemAllocator._python_free_callback patched: asleep guard extended to all platforms. +INFO 09-24 00:25:58 [stage_init_utils.py:768] [stage_init] Set VLLM_WORKER_MULTIPROC_METHOD=spawn +WARNING 09-24 00:25:58 [stage_init_utils.py:1887] [stage_init] Failed to load transfer config: [Errno 21] Is a directory: '/home/zhout/project/edge_infer/vllm-omni-edge' +ERROR 09-24 00:26:11 [stage_runtime.py:265] [StageRuntime] Stage initialization failed; shutting down 0 initialized client(s) +ERROR 09-24 00:26:11 [stage_runtime.py:265] Traceback (most recent call last): +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 252, in initialize +ERROR 09-24 00:26:11 [stage_runtime.py:265] initialized_clients = self._initialize_stage_replicas(stage_plans, self._stage_init_timeout) +ERROR 09-24 00:26:11 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 589, in _initialize_stage_replicas +ERROR 09-24 00:26:11 [stage_runtime.py:265] raise primary_exc +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 550, in _init_group +ERROR 09-24 00:26:11 [stage_runtime.py:265] client = self._initialize_replica( +ERROR 09-24 00:26:11 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 817, in _initialize_replica +ERROR 09-24 00:26:11 [stage_runtime.py:265] return create_graph_client( +ERROR 09-24 00:26:11 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/__init__.py", line 23, in create_graph_client +ERROR 09-24 00:26:11 [stage_runtime.py:265] return QwenTTSCPUStageClient(metadata, backend, ledger, reservation) +ERROR 09-24 00:26:11 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:26:11 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/qwen_tts_cpu.py", line 107, in __init__ +ERROR 09-24 00:26:11 [stage_runtime.py:265] raise RuntimeError(f"CPU TTS worker exited during load; see {self._log_path}") +ERROR 09-24 00:26:11 [stage_runtime.py:265] RuntimeError: CPU TTS worker exited during load; see /home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/worker.log +{ + "scope": "complete resident native Windows CPU Qwen3-TTS text-to-WAV through Omni", + "warmup_count": 0, + "measured_count": 1, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "status": "failed", + "error": "RuntimeError: CPU TTS worker exited during load; see /home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/worker.log", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} +Traceback (most recent call last): + File "/home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py", line 216, in + asyncio.run(main()) + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py", line 93, in main + runtime.initialize() + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 278, in initialize + raise exc + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 252, in initialize + initialized_clients = self._initialize_stage_replicas(stage_plans, self._stage_init_timeout) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 589, in _initialize_stage_replicas + raise primary_exc + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 550, in _init_group + client = self._initialize_replica( + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 817, in _initialize_replica + return create_graph_client( + ^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/__init__.py", line 23, in create_graph_client + return QwenTTSCPUStageClient(metadata, backend, ledger, reservation) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/qwen_tts_cpu.py", line 107, in __init__ + raise RuntimeError(f"CPU TTS worker exited during load; see {self._log_path}") +RuntimeError: CPU TTS worker exited during load; see /home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/worker.log diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_report.json new file mode 100644 index 000000000..f581d96de --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_report.json @@ -0,0 +1,25 @@ +{ + "scope": "complete resident native Windows CPU Qwen3-TTS text-to-WAV through Omni", + "warmup_count": 0, + "measured_count": 1, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "status": "failed", + "error": "RuntimeError: CPU TTS worker exited during load; see /home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/worker.log", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_worker.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_worker.log new file mode 100644 index 000000000..9623fc09c --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt1_worker.log @@ -0,0 +1,6 @@ +Traceback (most recent call last): + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/qwen_tts_cpu_worker.py", line 138, in + main() + File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/qwen_tts_cpu_worker.py", line 36, in main + import numpy as np +ModuleNotFoundError: No module named 'numpy' diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_driver.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_driver.log new file mode 100644 index 000000000..0f6e260ae --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_driver.log @@ -0,0 +1,137 @@ +INFO 09-24 00:27:04 [patch.py:259] NVFP4 W4A4 weight_scale NaN-clamp: installed. +INFO 09-24 00:27:04 [patch.py:510] inductor factorable-divisibility patch: installed. +INFO 09-24 00:27:04 [patch.py:589] [cumem-cuda] CuMemAllocator._python_free_callback patched: asleep guard extended to all platforms. +INFO 09-24 00:27:05 [stage_init_utils.py:768] [stage_init] Set VLLM_WORKER_MULTIPROC_METHOD=spawn +WARNING 09-24 00:27:05 [stage_init_utils.py:1887] [stage_init] Failed to load transfer config: [Errno 21] Is a directory: '/home/zhout/project/edge_infer/vllm-omni-edge' +{ + "scope": "complete resident native Windows CPU Qwen3-TTS text-to-WAV through Omni", + "warmup_count": 0, + "measured_count": 1, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "startup_s": 20.292010181990918, + "execution_plan": { + "backend": "external.qwen_tts.cpu.v1", + "stage_id": 0, + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "worker_pid": 3642346, + "worker_script_sha256": "862177bec7221114ec93f496602434dbefd36ca903d009ea35ffdca37b529205", + "artifact_sha256": { + "python_sha256": "021044895e95be79dc2f110367607e684119afbc8ce75f6f0eec94844e0acec7", + "talker_sha256": "bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb", + "tokenizer_sha256": "836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258" + }, + "model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", + "placement": "CPU BF16 SDPA, 8 threads; isolated Transformers 4.57.3", + "worker_props": { + "model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", + "placement": "cpu", + "torch": "2.13.0+cu130", + "transformers": "4.57.3", + "qwen_tts": "0.1.1", + "dtype": "bfloat16", + "attention": "sdpa", + "threads": 8, + "sample_rate": 24000, + "speaker": "Ryan", + "max_new_tokens": 64, + "load_s": 3.402708667970728 + }, + "loaded_rss_bytes": 2125488128, + "loaded_private_bytes": 2125488128, + "loaded_process_tree": [ + { + "pid": 3642346, + "rss_bytes": 2125488128, + "private_bytes": 2125488128 + } + ], + "reserved_bytes": { + "host_ram": 10737418240 + }, + "memory_overhead_bytes": 6442450944, + "max_text_bytes": 4096, + "max_wav_bytes": 4194304, + "max_audio_s": 10.0, + "voice": "Ryan", + "seed": 42, + "request_capacity": 1, + "stateful_session": "Qwen PyTorch worker-owned; complete WAV per request", + "evidence": "B" + }, + "checks": [ + { + "text": "Hello from the local computer.", + "wall_s": 12.656105556990951, + "frames": 82560, + "duration_s": 3.44, + "pcm_sha256": "66ca76a468807381c208b21ba458e5005510c752efa89323ee909749047ab1db", + "stage_event": { + "request_id": "cpu-tts-434866642434220", + "stage_id": 0, + "epoch": 1, + "seq": 1, + "kind": "audio", + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "buffers": [], + "terminal": true, + "error": null + } + }, + { + "text": "The blue car is parked beside the library.", + "wall_s": 8.73547542700544, + "frames": 80640, + "duration_s": 3.36, + "pcm_sha256": "c661953310ee1b6b39806156f4180a0793d4372425d13f58bc1440b1d027eeb0", + "stage_event": { + "request_id": "cpu-tts-434879299154073", + "stage_id": 0, + "epoch": 2, + "seq": 1, + "kind": "audio", + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "buffers": [], + "terminal": true, + "error": null + } + } + ], + "standalone_pcm_parity": [ + false, + false + ], + "status": "failed", + "error": "RuntimeError: CPU Omni PCM differs from the same checkpoint's standalone output", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} +Traceback (most recent call last): + File "/home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py", line 216, in + asyncio.run(main()) + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/zhout/.local/share/uv/python/cpython-3.12.13-linux-x86_64-gnu/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/zhout/project/edge_infer/vllm-omni-edge/benchmarks/edge_harness/experiments/probe_omni_qwen_tts_cpu.py", line 172, in main + raise RuntimeError("CPU Omni PCM differs from the same checkpoint's standalone output") +RuntimeError: CPU Omni PCM differs from the same checkpoint's standalone output diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_report.json new file mode 100644 index 000000000..72944477d --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_report.json @@ -0,0 +1,117 @@ +{ + "scope": "complete resident native Windows CPU Qwen3-TTS text-to-WAV through Omni", + "warmup_count": 0, + "measured_count": 1, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "startup_s": 20.292010181990918, + "execution_plan": { + "backend": "external.qwen_tts.cpu.v1", + "stage_id": 0, + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "worker_pid": 3642346, + "worker_script_sha256": "862177bec7221114ec93f496602434dbefd36ca903d009ea35ffdca37b529205", + "artifact_sha256": { + "python_sha256": "021044895e95be79dc2f110367607e684119afbc8ce75f6f0eec94844e0acec7", + "talker_sha256": "bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb", + "tokenizer_sha256": "836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258" + }, + "model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", + "placement": "CPU BF16 SDPA, 8 threads; isolated Transformers 4.57.3", + "worker_props": { + "model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", + "placement": "cpu", + "torch": "2.13.0+cu130", + "transformers": "4.57.3", + "qwen_tts": "0.1.1", + "dtype": "bfloat16", + "attention": "sdpa", + "threads": 8, + "sample_rate": 24000, + "speaker": "Ryan", + "max_new_tokens": 64, + "load_s": 3.402708667970728 + }, + "loaded_rss_bytes": 2125488128, + "loaded_private_bytes": 2125488128, + "loaded_process_tree": [ + { + "pid": 3642346, + "rss_bytes": 2125488128, + "private_bytes": 2125488128 + } + ], + "reserved_bytes": { + "host_ram": 10737418240 + }, + "memory_overhead_bytes": 6442450944, + "max_text_bytes": 4096, + "max_wav_bytes": 4194304, + "max_audio_s": 10.0, + "voice": "Ryan", + "seed": 42, + "request_capacity": 1, + "stateful_session": "Qwen PyTorch worker-owned; complete WAV per request", + "evidence": "B" + }, + "checks": [ + { + "text": "Hello from the local computer.", + "wall_s": 12.656105556990951, + "frames": 82560, + "duration_s": 3.44, + "pcm_sha256": "66ca76a468807381c208b21ba458e5005510c752efa89323ee909749047ab1db", + "stage_event": { + "request_id": "cpu-tts-434866642434220", + "stage_id": 0, + "epoch": 1, + "seq": 1, + "kind": "audio", + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "buffers": [], + "terminal": true, + "error": null + } + }, + { + "text": "The blue car is parked beside the library.", + "wall_s": 8.73547542700544, + "frames": 80640, + "duration_s": 3.36, + "pcm_sha256": "c661953310ee1b6b39806156f4180a0793d4372425d13f58bc1440b1d027eeb0", + "stage_event": { + "request_id": "cpu-tts-434879299154073", + "stage_id": 0, + "epoch": 2, + "seq": 1, + "kind": "audio", + "worker_generation": "11b36820eb34430f80bebc322a38ab74", + "buffers": [], + "terminal": true, + "error": null + } + } + ], + "standalone_pcm_parity": [ + false, + false + ], + "status": "failed", + "error": "RuntimeError: CPU Omni PCM differs from the same checkpoint's standalone output", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_worker.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_worker.log new file mode 100644 index 000000000..12c17ca24 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/attempt2_worker.log @@ -0,0 +1,23 @@ + +******** +Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference. +******** + +/bin/sh: 1: sox: not found +SoX could not be found! + + If you do not have SoX, proceed here: + - - - http://sox.sourceforge.net/ - - - + + If you do (or think that you should) have SoX, double-check your + path variables. + +qwen-tts-cpu-worker ready port=36531 props={"model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", "placement": "cpu", "torch": "2.13.0+cu130", "transformers": "4.57.3", "qwen_tts": "0.1.1", "dtype": "bfloat16", "attention": "sdpa", "threads": 8, "sample_rate": 24000, "speaker": "Ryan", "max_new_tokens": 64, "load_s": 3.402708667970728} +127.0.0.1 - - [24/Sep/2026 00:27:25] "GET /health HTTP/1.1" 200 - +127.0.0.1 - - [24/Sep/2026 00:27:25] "GET /props HTTP/1.1" 200 - +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:27:38] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=12.619 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:27:47] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.360 wall_s=8.729 diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/kernels/__init__.py b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/kernels/__init__.py new file mode 100644 index 000000000..57db5dc76 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/kernels/__init__.py @@ -0,0 +1 @@ +raise ImportError("optional kernels disabled for CPU-only Qwen3-TTS worker") diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_driver.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_driver.log new file mode 100644 index 000000000..1bbc77ea7 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_driver.log @@ -0,0 +1,51 @@ +INFO 09-24 00:33:52 [patch.py:259] NVFP4 W4A4 weight_scale NaN-clamp: installed. +INFO 09-24 00:33:52 [patch.py:510] inductor factorable-divisibility patch: installed. +INFO 09-24 00:33:52 [patch.py:589] [cumem-cuda] CuMemAllocator._python_free_callback patched: asleep guard extended to all platforms. +INFO 09-24 00:33:53 [stage_init_utils.py:768] [stage_init] Set VLLM_WORKER_MULTIPROC_METHOD=spawn +WARNING 09-24 00:33:53 [stage_init_utils.py:1887] [stage_init] Failed to load transfer config: [Errno 21] Is a directory: '/home/zhout/project/edge_infer/vllm-omni-edge' +ERROR 09-24 00:34:06 [stage_runtime.py:265] [StageRuntime] Stage initialization failed; shutting down 0 initialized client(s) +ERROR 09-24 00:34:06 [stage_runtime.py:265] Traceback (most recent call last): +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 252, in initialize +ERROR 09-24 00:34:06 [stage_runtime.py:265] initialized_clients = self._initialize_stage_replicas(stage_plans, self._stage_init_timeout) +ERROR 09-24 00:34:06 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 589, in _initialize_stage_replicas +ERROR 09-24 00:34:06 [stage_runtime.py:265] raise primary_exc +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 550, in _init_group +ERROR 09-24 00:34:06 [stage_runtime.py:265] client = self._initialize_replica( +ERROR 09-24 00:34:06 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/stage_runtime.py", line 817, in _initialize_replica +ERROR 09-24 00:34:06 [stage_runtime.py:265] return create_graph_client( +ERROR 09-24 00:34:06 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/__init__.py", line 23, in create_graph_client +ERROR 09-24 00:34:06 [stage_runtime.py:265] return QwenTTSCPUStageClient(metadata, backend, ledger, reservation) +ERROR 09-24 00:34:06 [stage_runtime.py:265] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ERROR 09-24 00:34:06 [stage_runtime.py:265] File "/home/zhout/project/edge_infer/vllm-omni-edge/vllm_omni/engine/backends/qwen_tts_cpu.py", line 89, in __init__ +ERROR 09-24 00:34:06 [stage_runtime.py:265] raise ResourceUnavailable("CPU TTS weights plus state/workspace/headroom exceed reservation") +ERROR 09-24 00:34:06 [stage_runtime.py:265] vllm_omni.engine.resource_ledger.ResourceUnavailable: CPU TTS weights plus state/workspace/headroom exceed reservation +{ + "scope": "complete resident local CPU Qwen3-TTS text-to-WAV through Omni", + "host_os": "Linux-6.18.33.2-microsoft-standard-WSL2-x86_64-with-glibc2.43", + "allow_platform_variation": true, + "warmup_count": 1, + "measured_count": 20, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 4294967296 + } + }, + "admission_refusal": "ResourceUnavailable: CPU TTS weights plus state/workspace/headroom exceed reservation", + "status": "passed", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_report.json new file mode 100644 index 000000000..18baed29c --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/low_budget_report.json @@ -0,0 +1,27 @@ +{ + "scope": "complete resident local CPU Qwen3-TTS text-to-WAV through Omni", + "host_os": "Linux-6.18.33.2-microsoft-standard-WSL2-x86_64-with-glibc2.43", + "allow_platform_variation": true, + "warmup_count": 1, + "measured_count": 20, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 4294967296 + } + }, + "admission_refusal": "ResourceUnavailable: CPU TTS weights plus state/workspace/headroom exceed reservation", + "status": "passed", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/overlay_manifest.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/overlay_manifest.json new file mode 100644 index 000000000..4813a18b4 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/overlay_manifest.json @@ -0,0 +1,40 @@ +{ + "scope": "WSL CPU Qwen worker-only Python overlay; base Omni interpreter is separate", + "packages": { + "qwen-tts": { + "version": "0.1.1", + "path": "qwen_tts/__init__.py", + "sha256": "ea52de59d070fde366467a6902d0edcfc1b0575b8c570a0c71020c41d6a593ed" + }, + "transformers": { + "version": "4.57.3", + "path": "transformers/__init__.py", + "sha256": "7eb0743ed843f24c1d4e8b8daf4b18249cb81403b4571a70c00be0a4c0a67bd4" + }, + "huggingface-hub": { + "version": "0.36.2", + "path": "huggingface_hub/__init__.py", + "sha256": 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b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/profile20.json @@ -0,0 +1,6390 @@ +{ + "scope": "complete resident local CPU Qwen3-TTS text-to-WAV through Omni", + "host_os": "Linux-6.18.33.2-microsoft-standard-WSL2-x86_64-with-glibc2.43", + "allow_platform_variation": true, + "warmup_count": 1, + "measured_count": 20, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "startup_s": 19.821405127993785, + "execution_plan": { + "backend": "external.qwen_tts.cpu.v1", + "stage_id": 0, + "worker_generation": "f86266e8057c477b9c639c1e31d2d56c", + "worker_pid": 3642662, + "worker_script_sha256": "862177bec7221114ec93f496602434dbefd36ca903d009ea35ffdca37b529205", + "artifact_sha256": { + "python_sha256": "021044895e95be79dc2f110367607e684119afbc8ce75f6f0eec94844e0acec7", + "talker_sha256": "bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb", + "tokenizer_sha256": 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b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/profile20_worker.log @@ -0,0 +1,87 @@ + +******** +Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference. +******** + +/bin/sh: 1: sox: not found +SoX could not be found! + + If you do not have SoX, proceed here: + - - - http://sox.sourceforge.net/ - - - + + If you do (or think that you should) have SoX, double-check your + path variables. + +qwen-tts-cpu-worker ready port=42833 props={"model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", "placement": "cpu", "torch": "2.13.0+cu130", "transformers": "4.57.3", "qwen_tts": "0.1.1", "dtype": "bfloat16", "attention": "sdpa", "threads": 8, "sample_rate": 24000, "speaker": "Ryan", "max_new_tokens": 64, "load_s": 3.237298524007201} +127.0.0.1 - - [24/Sep/2026 00:29:33] "GET /health HTTP/1.1" 200 - +127.0.0.1 - - [24/Sep/2026 00:29:33] "GET /props HTTP/1.1" 200 - +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:29:45] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=12.176 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:29:54] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.360 wall_s=8.703 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:02] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.348 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:11] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.261 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:19] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.223 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:27] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.163 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:35] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.229 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:44] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.398 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:30:52] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.129 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:00] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.251 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:08] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.431 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:17] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.461 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:25] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.501 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:34] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.250 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:42] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.414 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:51] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.367 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:31:59] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.346 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:07] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.326 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:16] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.388 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:24] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.201 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:32] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.207 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:40] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.165 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:32:48] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=8.282 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_driver.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_driver.log new file mode 100644 index 000000000..54c50e7c4 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_driver.log @@ -0,0 +1,49 @@ +INFO 09-24 00:34:52 [patch.py:259] NVFP4 W4A4 weight_scale NaN-clamp: installed. +INFO 09-24 00:34:52 [patch.py:510] inductor factorable-divisibility patch: installed. +INFO 09-24 00:34:52 [patch.py:589] [cumem-cuda] CuMemAllocator._python_free_callback patched: asleep guard extended to all platforms. +INFO 09-24 00:34:53 [omni_base.py:216] [AsyncOmni] Initializing with model /mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c +INFO 09-24 00:34:53 [async_omni_engine.py:172] [AsyncOmniEngine] Initializing with model /mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c +ERROR 09-24 00:34:53 [repo_utils.py:119] Error parsing config for /mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c: The checkpoint you are trying to load has model type `qwen3_tts` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date. +ERROR 09-24 00:34:53 [repo_utils.py:119] +ERROR 09-24 00:34:53 [repo_utils.py:119] You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`, retrying 1 of 2 +ERROR 09-24 00:34:55 [repo_utils.py:117] Error parsing config for /mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c: The checkpoint you are trying to load has model type `qwen3_tts` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date. +ERROR 09-24 00:34:55 [repo_utils.py:117] +ERROR 09-24 00:34:55 [repo_utils.py:117] You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git` +INFO 09-24 00:34:55 [async_omni_engine.py:290] [AsyncOmniEngine] Launching Orchestrator thread with 1 stages +INFO 09-24 00:34:55 [stage_init_utils.py:768] [stage_init] Set VLLM_WORKER_MULTIPROC_METHOD=spawn +INFO 09-24 00:34:55 [initialization.py:356] Loaded OmniTransferConfig with 0 connector configurations +INFO 09-24 00:35:13 [orchestrator.py:604] [Orchestrator] Starting event loop +INFO 09-24 00:35:13 [async_omni_engine.py:323] [AsyncOmniEngine] Orchestrator ready with 1 stages +INFO 09-24 00:35:13 [omni_base.py:235] [AsyncOmni] AsyncOmniEngine initialized in 20.28 seconds +INFO 09-24 00:35:13 [omni_base.py:255] [AsyncOmni] Initialized with 1 stages for model /mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c +INFO 09-24 00:35:25 [omni_base.py:781] [AsyncOmni] Shutting down +INFO 09-24 00:35:25 [async_omni_engine.py:1807] [AsyncOmniEngine] Shutting down Orchestrator +INFO 09-24 00:35:25 [orchestrator.py:705] [Orchestrator] Received shutdown signal +INFO 09-24 00:35:25 [orchestrator.py:3092] [Orchestrator] Shutting down all 1 client(s) +INFO 09-24 00:35:25 [stage_pool.py:1354] [StagePool] Stage 0 replica 0 shut down +{ + "entrypoint": "AsyncOmni.generate", + "pipeline": "qwen3_tts_cpu_whole", + "startup_s": 20.290129358007107, + "request_wall_s": 12.097587361990009, + "outputs": [ + { + "request_id": "public-cpu-tts-1", + "sample_rate": 24000, + "frames": 82560, + "pcm_sha256": "66ca76a468807381c208b21ba458e5005510c752efa89323ee909749047ab1db", + "stage_event": { + "request_id": "public-cpu-tts-1-843808ee", + "stage_id": 0, + "epoch": 1, + "seq": 1, + "kind": "audio", + "worker_generation": "bc022f43fee646f18572e4d6cef602a6", + "buffers": [], + "terminal": true, + "error": null + } + } + ], + "status": "passed" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_report.json new file mode 100644 index 000000000..97e7c7b56 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_report.json @@ -0,0 +1,26 @@ +{ + "entrypoint": "AsyncOmni.generate", + "pipeline": "qwen3_tts_cpu_whole", + "startup_s": 20.290129358007107, + "request_wall_s": 12.097587361990009, + "outputs": [ + { + "request_id": "public-cpu-tts-1", + "sample_rate": 24000, + "frames": 82560, + "pcm_sha256": "66ca76a468807381c208b21ba458e5005510c752efa89323ee909749047ab1db", + "stage_event": { + "request_id": "public-cpu-tts-1-843808ee", + "stage_id": 0, + "epoch": 1, + "seq": 1, + "kind": "audio", + "worker_generation": "bc022f43fee646f18572e4d6cef602a6", + "buffers": [], + "terminal": true, + "error": null + } + } + ], + "status": "passed" +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_worker.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_worker.log new file mode 100644 index 000000000..11c40af75 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/public_worker.log @@ -0,0 +1,20 @@ + +******** +Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference. +******** + +/bin/sh: 1: sox: not found +SoX could not be found! + + If you do not have SoX, proceed here: + - - - http://sox.sourceforge.net/ - - - + + If you do (or think that you should) have SoX, double-check your + path variables. + +qwen-tts-cpu-worker ready port=48689 props={"model_dir": "/mnt/c/Users/zhout/w2/models/Qwen3-TTS-0.6B-85e237c", "placement": "cpu", "torch": "2.13.0+cu130", "transformers": "4.57.3", "qwen_tts": "0.1.1", "dtype": "bfloat16", "attention": "sdpa", "threads": 8, "sample_rate": 24000, "speaker": "Ryan", "max_new_tokens": 64, "load_s": 3.1872041929746047} +127.0.0.1 - - [24/Sep/2026 00:35:13] "GET /health HTTP/1.1" 200 - +127.0.0.1 - - [24/Sep/2026 00:35:13] "GET /props HTTP/1.1" 200 - +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:35:25] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=12.089 diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression.wav b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression.wav new file mode 100644 index 000000000..d33dea249 Binary files /dev/null and b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression.wav differ diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_report.json new file mode 100644 index 000000000..fa1ad7b04 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_report.json @@ -0,0 +1,1436 @@ +{ + "scope": "complete resident local CPU Qwen3-TTS text-to-WAV through Omni", + "host_os": "Windows-11-10.0.26200-SP0", + "allow_platform_variation": false, + "warmup_count": 0, + "measured_count": 1, + "memory_budget": { + "capacities": { + "host_ram": 17179869184 + }, + "demands": { + "host_ram": 10737418240 + } + }, + "startup_s": 29.529544900055043, + "execution_plan": { + "backend": "external.qwen_tts.cpu.v1", + "stage_id": 0, + "worker_generation": "bc92544dfe41467d9260e88cacc3ea6d", + "worker_pid": 5976, + "worker_script_sha256": "862177bec7221114ec93f496602434dbefd36ca903d009ea35ffdca37b529205", + "artifact_sha256": { + "python_sha256": "0b471133e110cfb53a061cad528ce8e517d7b9ac41a0a396c39ad795a487fc14", + "talker_sha256": "bc3c7e785eb961179c25450d1acff03f839e0002f2f3a5aeb67b5735c0fa2adb", + "tokenizer_sha256": "836b7b357f5ea43e889936a3709af68dfe3751881acefe4ecf0dbd30ba571258" + }, + "overlay_marker_sha256": null, + "model_dir": "C:\\Users\\zhout\\w2\\models\\Qwen3-TTS-0.6B-85e237c", + "placement": "CPU BF16 SDPA, 8 threads; isolated Transformers 4.57.3", + "worker_props": { + "model_dir": 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"abort_check": { + "stale_output": false, + "worker_exited": true, + "ledger_after_abort": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } + }, + "status": "passed", + "ledger_after_shutdown": { + "capacities": { + "host_ram": 17179869184 + }, + "reserved": { + "host_ram": 0 + }, + "owners": [], + "quarantined": [] + } +} diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_worker.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_worker.log new file mode 100755 index 000000000..cf4fb7401 --- /dev/null +++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/windows_regression_worker.log @@ -0,0 +1,31 @@ + +******** +Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference. +******** + +'\\wsl.localhost\Ubuntu\home\zhout\project\edge_infer' +ΪǰĿ¼· CMD.EXE +UNC ·֧֡ĬֵΪ Windows Ŀ¼ +'sox' ڲⲿҲǿеij +ļ +SoX could not be found! + + If you do not have SoX, proceed here: + - - - http://sox.sourceforge.net/ - - - + + If you do (or think that you should) have SoX, double-check your + path variables. + +qwen-tts-cpu-worker ready port=61654 props={"model_dir": "C:\\Users\\zhout\\w2\\models\\Qwen3-TTS-0.6B-85e237c", "placement": "cpu", "torch": "2.13.0+cu130", "transformers": "4.57.3", "qwen_tts": "0.1.1", "dtype": "bfloat16", "attention": "sdpa", "threads": 8, "sample_rate": 24000, "speaker": "Ryan", "max_new_tokens": 64, "load_s": 1.6466022999957204} +127.0.0.1 - - [24/Sep/2026 00:38:46] "GET /health HTTP/1.1" 200 - +127.0.0.1 - - [24/Sep/2026 00:38:46] "GET /props HTTP/1.1" 200 - +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:39:02] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=4.560 wall_s=15.215 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:39:13] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=3.440 wall_s=11.343 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. +127.0.0.1 - - [24/Sep/2026 00:39:28] "POST /v1/audio/speech HTTP/1.1" 200 - +tts request duration_s=4.560 wall_s=15.133 +Setting `pad_token_id` to `eos_token_id`:2150 for open-end generation. diff --git a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md index f06572bb2..8f89dd538 100644 --- a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md +++ b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md @@ -2,13 +2,19 @@ All 60 pairings have a disposition. The timing tables below remain the 2026-09-22 measurements. The configuration matrix and affected per-cell reasons incorporate the [2026-09-23 scoped recovery runs](../../../e2e_recovery_20260923/README.md) and [WSL CPU/native Windows expansion](../../../e2e_expansion_20260923/README.md). The expansion adds separate 20-request serial MiniCPM-o text-to-speech profiles on WSL CPU and native Windows GPU, a Spark output-head component profile on the HX370 AMD NPU, complete Spark text-request profiles through standalone llama.cpp and a bounded Omni whole-session stage on native Windows CPU and Radeon 890M, native Windows CPU Qwen3-TTS text-to-WAV profiles through both standalone PyTorch and a bounded Omni whole-session stage, and a hybrid CPU+Radeon 890M Qwen3-TTS profile likewise repeated through a bounded Omni whole-session stage. A pinned GGUF MiniCPM-o route adds combined image+audio to text+speech runs on WSL CPU, native Windows CPU and native Windows Radeon 890M+CPU. All three now pass a bounded complete request through an Omni graph stage; the WSL CPU path additionally passed one warmup plus 20 serial measured requests. These are scoped synthetic cases, not full release qualification. -## Configuration × model +## Configuration × model + +The WSL CPU Qwen3-TTS cell also has a separate bounded Omni whole-session +text-to-complete-WAV profile with one warmup, 20 measured requests, a public +audio request, pinned ASR proxy, memory refusal and cancellation evidence. +It does not replace the earlier short-stream finding or establish playable +streaming. NOT E2E means no complete device/model workload was verified. “Scoped E2E” identifies only the named input/output path; “standalone” means the whole model ran outside Omni. The Spark GGUF Omni stage uses a complete-request control path; it has no incremental token stream or restart-after-cancel contract yet. “Synthetic policy pass” does not establish a real robot-task result. See the per-cell reasons below. | Device | Spark-X2.5 | Qwen3-TTS 0.6B CustomVoice | Qwen3.8-27B | MiniCPM-o 4.5 | InternVLA-A1 | |---|---|---|---|---|---| -| PC HX370: CPU / WSL | profile completed | scoped E2E: short stream | NOT E2E | scoped E2E: Omni GGUF combined image+audio → text+speech | synthetic policy pass | +| PC HX370: CPU / WSL | profile completed | scoped E2E: Omni CPU text → complete WAV | NOT E2E | scoped E2E: Omni GGUF combined image+audio → text+speech | synthetic policy pass | | PC HX370: CPU / native Windows | scoped E2E: Omni Spark text | scoped E2E: Omni CPU text → complete WAV | NOT E2E | scoped E2E: Omni GGUF image+audio → text+speech | synthetic policy pass | | PC HX370 + RTX 5090 Laptop / WSL | profile completed | profile completed | scoped E2E: text + image | scoped E2E: text/image/audio → speech | synthetic policy pass | | PC HX370 + RTX 5090 Laptop / Windows | profile completed | profile completed | NOT E2E | scoped E2E: text/image/audio → speech | synthetic policy pass | @@ -26,7 +32,7 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i | Device | Model | Current profiling disposition | Reason / remaining work | Next step | |---|---|---|---|---| | PC HX370: CPU / WSL | Spark-X2.5 | PROFILE_COMPLETED | not fully qualified: reference-quality and remaining reliability/performance gates must be reviewed | Qualify a matching vLLM 0.29 CPU build and token parity separately. | -| PC HX370: CPU / WSL | Qwen3-TTS 0.6B CustomVoice | SCOPED_E2E | The 2026-09-23 compatibility fix enabled real-weight two-frame PCM and four short-stream requests, including cancellation recovery. One measured request generated 3.04 s of audio in 17.02 s (RTF 5.60) with four simulated playback underruns. The CPU wheel remains vLLM 0.28 versus Omni 0.29. | Qualify a matching CPU runtime, speech quality, uninterrupted playback and sustained load; [recovery evidence](../../../e2e_recovery_20260923/README.md). | +| PC HX370: CPU / WSL | Qwen3-TTS 0.6B CustomVoice | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The earlier vLLM 0.28 CPU path passed four short streams but had four simulated playback underruns in one measured request; its wheel remains mismatched with Omni 0.29. Separately, the pinned BF16 0.6B CustomVoice checkpoint ran two named text-to-complete-WAV requests through an Omni 0.29 whole-session stage with an isolated CPU worker on WSL. One warmup plus 20 serial measured requests returned identical 3.44 s audio; nearest-rank complete-request wall p50/p95 was 8.27/8.47 s (RTF 2.40/2.46), excluding 19.82 s startup. Pinned Whisper tiny.en transcribed the first measured WAV exactly (WER 0, one-output intelligibility proxy). Public `AsyncOmni` audio output passed; the stage verified weights, interpreter and CPU placement, reserved 10 GiB host RAM, refused 4 GiB before launch, and drained in-flight cancellation with zero remaining reservation. WSL PCM differs from the same-checkpoint native Windows outputs despite the declared settings; its cause is unqualified. Sampled process-tree RSS reached 3.39 GB, not a loading peak. This worker delivers only a complete WAV, not a playable stream. | Qualify cross-OS numerical/quality difference, playable streaming without underruns, post-cancel restart, loading peak, concurrency and sustained power/thermal behavior; [WSL Omni raw evidence](../../../e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/README.md), [earlier stream evidence](../../../e2e_recovery_20260923/README.md). | | PC HX370: CPU / WSL | Qwen3.8-27B | NOT_E2E_PROFILEABLE | No compatible CPU artifact/deployment for this model was found in the checked model roots. Available Qwen 27B FP8/NVFP4 CUDA artifacts do not establish a CPU route. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. | | PC HX370: CPU / WSL | MiniCPM-o 4.5 | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The BF16/vLLM 0.28 three-stage path previously passed separate text, synthetic red-square image and synthetic 440 Hz audio inputs to text+speech; its 20-request serial **text-only** profile was p50/p95 21.86/22.97 s with swap and shutdown warnings. A separate pinned Q4_K_M/F16 GGUF worker now runs a **combined spoken question+image → text+speech** request through a bounded Omni StageRuntime/StagePool graph stage on WSL CPU, with installed vLLM 0.29 for the controller and CPU-only C++ model execution. All 20 measured requests after one warmup answered “The square in the image is red.”, emitted complete nonzero speech and a terminal audio event; nearest-rank complete-request wall p50/p95 was 22.67/24.83 s, speech duration 1.60–2.92 s, and maximum sampled worker RSS 13.70 GB. The first measured WAV independently transcribed exactly with pinned Whisper tiny.en (WER 0, one-output intelligibility proxy). Ten weight hashes and CPU placement were verified; 24 GiB shared RAM was reserved, 8 GiB was refused before launch, and in-flight cancellation left no stale output or reservation. Host RAM/swap samples covered only part of the profile. One synthetic fixture and variable speech PCM do not establish general quality, playable streaming, loading peak or sustained performance. | Validate real image/audio suites, speech alignment and quality, video input, concurrent admission, post-cancel restart, loading peak and sustained thermal behavior; [GGUF Omni raw evidence](../../../e2e_expansion_20260923/evidence/minicpmo_omni_wsl_cpu/README.md), [BF16/vLLM CPU evidence](../../../e2e_expansion_20260923/README.md), [earlier standalone GGUF run](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_cpu/README.md). | | PC HX370: CPU / WSL | InternVLA-A1 | SYNTHETIC_POLICY_PASS | The Place_Markpen checkpoint strict-loaded in CPU-only PyTorch and produced finite `[1, 50, 32]` actions from zero observations/noise in one 3.25 s forward. Compared with the same CUDA checkpoint/input, relative L2 error was 1.30% and cosine similarity 0.999917; no task-quality tolerance is established. | Validate real observations against reference actions, units/timestamps, repeated latency and memory before robot-task qualification; [CPU evidence](../../../e2e_expansion_20260923/README.md). | diff --git a/docs/design/omni_edge_e2e_roadmap.md b/docs/design/omni_edge_e2e_roadmap.md index 5508c912d..5e66b1c86 100644 --- a/docs/design/omni_edge_e2e_roadmap.md +++ b/docs/design/omni_edge_e2e_roadmap.md @@ -193,6 +193,17 @@ The 2026-09-23 [Spark GGUF Omni follow-up](../../benchmarks/edge_harness/results The [Qwen3-TTS Omni hybrid follow-up](../../benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_hybrid/README.md) adds one complete-request stage for the native Windows HX370 CPU+Radeon 890M route. A pinned Q8_0 talker and F16 codec produced two named PCM outputs exactly matching the prior standalone backend; one warmup plus 20 serial requests measured 3.298/3.336 s p50/p95 for 2.56 s of audio. Public `AsyncOmni` audio, cancellation drain and explicit 8 GiB host admission passed. This is progress toward M2 integration, not M2 acceptance: RTF remains above 1, and playable chunk streaming, post-cancel restart, loading/iGPU peaks, broader voice quality and 30-minute thermal behavior remain open. No NPU participated. +The [WSL CPU Qwen3-TTS Omni follow-up](../../benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/qwen_tts_omni_wsl_cpu/README.md) +adds the same bounded whole-session CPU stage on Ubuntu/WSL with a pinned +worker-only dependency overlay. One warmup plus 20 serial complete requests +produced identical 3.44 s WAVs at nearest-rank wall p50/p95 8.27/8.47 s, +excluding worker startup. The public audio path, one-output Whisper proxy +(WER 0), 10 GiB admission, 4 GiB refusal and cancellation drain passed. WSL +PCM differs from the same-checkpoint native Windows result; its numerical +cause remains open. The existing vLLM 0.28 short-stream path still has playback +underruns. These complete-WAV findings advance M2 desktop coverage but do not +establish playable streaming, RTF below one, broad quality or sustained use. + VLA qualification here ends at action data. Physical robot control, collision avoidance and actuator safety belong to the external controller. diff --git a/vllm_omni/engine/backends/qwen_tts_cpu.py b/vllm_omni/engine/backends/qwen_tts_cpu.py index 3bd2b6450..7d148b2ad 100644 --- a/vllm_omni/engine/backends/qwen_tts_cpu.py +++ b/vllm_omni/engine/backends/qwen_tts_cpu.py @@ -1,5 +1,5 @@ # SPDX-License-Identifier: Apache-2.0 -"""Native Windows CPU Qwen3-TTS whole-session stage with isolated dependencies. +"""Local CPU Qwen3-TTS whole-session stage with isolated dependencies. The worker alone imports Qwen's PyTorch wrapper and Transformers 4.57.3. This adapter reuses the bounded complete-WAV request, fencing and ownership @@ -57,7 +57,12 @@ class QwenTTSCPUStageClient(CrispTTSStageClient): demand = reservation.demands[self._memory_pool] if self._max_wav_bytes > demand: raise ResourceUnavailable("CPU TTS output bound exceeds stage reservation") - self._python = Path(config["python_bin"]).resolve(strict=True) + # On POSIX, a virtualenv's python is often a symlink to the base + # interpreter. Launch via the declared path so Python discovers + # the virtualenv; _sha256 still follows the link for verification. + self._python = Path(config["python_bin"]).absolute() + if not self._python.is_file(): + raise FileNotFoundError(f"CPU TTS interpreter absent: {self._python}") self._model_dir = Path(config["model_dir"]).resolve(strict=True) self._overlay = Path(config["overlay_dir"]).resolve(strict=True) self._talker = self._model_dir / "model.safetensors" @@ -70,6 +75,11 @@ class QwenTTSCPUStageClient(CrispTTSStageClient): } if not (self._overlay / "transformers" / "__init__.py").is_file(): raise FileNotFoundError("pinned Transformers overlay is absent") + overlay_marker_hash = config.get("overlay_marker_sha256") + if overlay_marker_hash is not None: + marker = self._overlay / "kernels" / "__init__.py" + if not marker.is_file() or _sha256(marker) != str(overlay_marker_hash).lower(): + raise ValueError("CPU TTS optional-kernels overlay differs from declared hash") for label, (path, digest) in expected.items(): if _sha256(path) != digest: raise ValueError(f"CPU TTS {label} differs from the declared artifact hash") @@ -152,6 +162,7 @@ class QwenTTSCPUStageClient(CrispTTSStageClient): "worker_pid": self._proc.pid, "worker_script_sha256": _sha256(self._worker), "artifact_sha256": {label: digest for label, (_, digest) in expected.items()}, + "overlay_marker_sha256": overlay_marker_hash, "model_dir": str(self._model_dir), "placement": "CPU BF16 SDPA, 8 threads; isolated Transformers 4.57.3", "worker_props": props,