[winml perf] QNN/NPU basic op-tracing produces no profiling CSV
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Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 45/100
- Tipo di issue
- Bug
- Chiarezza
- Abbastanza chiara
- Stato di attività
- Attiva
- Stack tecnologico
- cli, machine-learning, python
- Ambito
- cli, machine-learning, performance, tooling
Direzione di ricerca
The issue is in winml-cli's perf command with --op-tracing basic for QNN/NPU. Start by examining the CLI's tracing implementation, likely in a command/perf.py or similar module. Look for where the CSV is generated and why it might be empty. Check the integration with ONNX Runtime's QNNExecutionProvider and ETW sessions. Run the provided reproduction steps to see the error code 4. 'Done' is when the command produces a profiling CSV for the given models.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Summary
QNN basic operator tracing produces no profiling CSV
Priority: P1, confirmed by the release driver on 2026-09-23.
Bugbash reference: 2026-09-22 / BUG-002.
Status: Observed in the first test round; no fix or post-fix regression is recorded. This issue is based on retained test evidence, not a new test run.
Environment
- Test date: 2026-09-22; findings triaged on 2026-09-23.
- CLI: winml-cli 0.4.0, installed from a local wheel. The exact source commit/build provenance is not recorded in the test evidence.
- Hardware: Snapdragon X Elite X1E80100, Qualcomm Hexagon NPU.
- OS: Windows 11 26H1, build 28000.2956, ARM64.
- Python: 3.11.15, workspace virtual environment.
- EP: QNNExecutionProvider from WinML Catalog, package 2.2480.49.0.
- ONNX Runtime: 1.27.1.202607110137, Windows ML distribution.
- ONNX: 1.18.0; PyTorch: 2.14.0; Transformers: 4.57.6.
- Model: catalog microsoft/resnet-50, image-classification, pixel_values FP32 [1, 3, 224, 224].
- Quantization, where applicable: w8a16, uint8 weights / uint16 activations, 10 calibration samples.
Reproduction
Run in PowerShell with winml-cli 0.4.0 installed. Use a new output directory. Prepare raw w8a16 and compiled inputs with the same artifact chain used in the bugbash:
$results = '.\repro-qnn-optrace'
New-Item -ItemType Directory -Path $results | Out-Null
uv run winml export -m microsoft/resnet-50 -o "$results\resnet.onnx"
uv run winml optimize -m "$results\resnet.onnx" --ep qnn --device npu --disable-ort-graph-optimization -o "$results\resnet-opt-no-ort.onnx"
uv run winml quantize -m "$results\resnet-opt-no-ort.onnx" -p w8a16 --samples 10 --task image-classification --model-id microsoft/resnet-50 -o "$results\resnet-w8a16.onnx"
uv run winml compile -m "$results\resnet-w8a16.onnx" --ep qnn --device npu -o "$results\resnet-compiled.onnx"
Reproduce on the raw quantized model:
uv run winml perf -m "$results\resnet-w8a16.onnx" --ep qnn --device npu --iterations 3 --warmup 1 --op-tracing basic -o "$results\optrace-raw.json"
Reproduce on the compiled model, including with memory monitoring disabled:
uv run winml perf -m "$results\resnet-compiled.onnx" --ep qnn --device npu --iterations 10 --warmup 2 --no-memory --op-tracing basic -o "$results\optrace-compiled.json"
The disabled ORT graph optimization in preparation bypasses a separately recorded standalone optimize failure; it is not a tracing workaround.
Expected result
Produce basic per-operator profiling data for the QNN/NPU benchmark.
Actual result
Both tracing commands exit with code 4 and produce no profiling CSV:
Op-tracing produced no profiling data (no CSV written).
Ordinary perf without --op-tracing basic has passing records for both raw and compiled inputs.
Workaround
No verified workaround that produces operator-tracing data in this bugbash. Ordinary perf runs successfully, but is not equivalent to operator-level profiling.
Scope and evidence
The failure is observed on this host. Root-cause ownership between CLI, WinML/ORT, and QNN EP remains unconfirmed. The CPU-fallback suggestion in the error is not evidence that CPU fallback occurred. ETW session prerequisites/state were not established by this report; do not infer them from the missing CSV.
The following evidence is retained locally by the reporter; these filenames are an index, not uploaded attachments:
perf-qnn-optrace.stdout.logperf-qnn-optrace.stderr.logperf-compiled-optrace.stdout.logperf-compiled-optrace.stderr.log
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