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>
120 lines
5.4 KiB
Markdown
120 lines
5.4 KiB
Markdown
# vLLM 0.24.0 OpProf patch series
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## Goal
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Apply the accepted OpProf Layer-1 instrumentation to exactly vLLM `v0.24.0`
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at base commit `ee0da84ab9e04ac7610e28580af62c365e898389`. The series adds one
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scheduler-owned composition record per step without installing new runtime
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dependencies or changing GPU kernels.
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## Contents
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- `0001-Add-lightweight-per-step-OpProf-telemetry.patch`: adds the environment
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switch, import-light JSONL recorder/writer, scheduler hooks, and reuse of the
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existing CUDA-graph stat. Writer failures are exposed without blocking
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producers or shutdown, and request histograms are accumulated in-place.
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- `0002-Add-standalone-OpProf-telemetry-tests.patch`: adds CPU-only tests that
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load the recorder directly without importing or installing vLLM or torch,
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including ENOSPC, golden-record, and zero-token regressions.
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- `0003-Log-the-OpProf-output-path-at-startup.patch`: logs the resolved JSONL
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output path and covers it in the standalone shutdown test.
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- `0004-Exclude-OpProf-output-path-from-compile-cache-key.patch`: prevents the
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per-run telemetry destination from invalidating vLLM's torch.compile/AOT
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cache and adds an import-light regression test.
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- `0005-Keep-compile-factor-regression-import-light.patch`: isolates the new
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regression from torch in full vLLM test environments.
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- `0006-Checkpoint-OpProf-accounting-across-hard-kills.patch`: atomically
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checkpoints balanced writer counters beside each JSONL stream once per
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flush interval, with clean-close and hard-kill regressions.
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- `0007-Recreate-scheduled-torch-profiler-between-windows.patch`: discards a
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stopped scheduled torch-profiler wrapper so each subsequent official profile
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endpoint call receives a fresh 2+8 schedule and emits its own trace.
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- `apply.sh`: verifies the exact base, refuses dirty/wrong revisions, applies
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all numbered patches with `git am`, and exits successfully only when the
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exact series is already applied directly on the required base.
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- `pytest-evidence.txt`: exact isolated test command, dependency versions, and
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all-pass summary.
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The source branch tip used to generate the patches is
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`23450fb21ac255b0cf710f4ee965ee694921975d` (`opprof`).
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## Apply
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Prerequisite: a clean checkout whose `HEAD` is the exact base commit.
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```bash
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./patches/vllm-0.24.0-opprof/apply.sh /path/to/vllm-v0.24.0
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```
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Running the command again is a no-op only when the five matching patch commits
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are rooted directly at the required base. A partially applied series, dirty
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tree, unrelated commit, or any other `HEAD` is rejected instead of being
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guessed around.
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## Enable and output
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Set an absolute output directory before starting vLLM:
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```bash
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export VLLM_OPPROF_DIR=/absolute/path/to/run/opprof
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```
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Unset or empty disables the feature before recorder construction. Combining it
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with `--disable-log-stats` fails fast, as approved.
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Each EngineCore/DP scheduler writes one file named approximately
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`opprof-v1-dp0-pid1234-<start_ns>.jsonl`. Records contain schema/engine/step and
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timestamps; scheduled prefill/decode composition; first/middle/final/unsplit
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prefill chunks; 12-bin context and 9-bin chunk-size histograms; preemptions;
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running/waiting/deferred queues; KV blocks/usage; local/external prefix deltas;
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CUDA-graph hit/mode/bucket/padding; explicit null Layer-1 MoE load; and drop-gap
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accounting. A clean close writes a final writer-count footer in the stream.
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Every JSONL flush also atomically replaces
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`<stream>.footer.json` through a same-directory temporary file. The sidecar
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contains the encoded, written, and dropped counts through that durable flush,
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the last written step index, a wall-clock timestamp, the one-second flush
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interval, and whether it is final. Queue entries carry their submission
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ordinal and cumulative drops, so a periodic checkpoint always satisfies
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`encoded = written + dropped` without decoding records in the writer thread.
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On clean close the in-stream footer is authoritative and the final sidecar must
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agree with all three counters. If a hard kill prevents the in-stream footer,
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the latest sidecar is authoritative: the decoded data-line count must equal
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its `written_records`, its final data-line step must equal
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`last_step_index`, and its counters must balance. Data after that checkpoint
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may be lost, bounded by at most the configured one-second flush interval.
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The bounded queue holds 8192 encoded records. Producers never wait for disk;
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full queues or a failed writer drop the new record and report the gap on the
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next successful record. A writer I/O failure is exposed through recorder state,
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logged once, and cannot make shutdown wait indefinitely. The writer flushes at
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1 MiB, one second, or shutdown.
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## Test
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Only pytest and msgspec are required. `--confcutdir` prevents vLLM's global
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test configuration from importing its full dependency stack.
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```bash
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cd /path/to/vllm-v0.24.0
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uv run --no-project --with pytest --with msgspec \
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pytest --confcutdir=tests/v1/core tests/v1/core/test_opprof.py -q
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```
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Expected summary:
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```text
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18 passed in 1.09s
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```
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## Caveats
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- Layer 1 intentionally records no expert-load arrays. Exact routed experts
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remain a separate Layer-2 run.
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- `PIECEWISE` means graph-wrapped compiled regions, not full-step graph replay.
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- Phase 2 must measure the always-on overhead; acceptance requires the upper
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bound of the 95% confidence interval to remain below 3% for every primary
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serving metric.
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- Primary campaign topology is TP1 on community BF16 Qwen3-30B-A3B, with TP2
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and TP4 counterpoints. Record the selected MoE backend log every run.
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