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perf: use recursive fits with configurable rebuilds - #297
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Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
Default the canonical rebuild interval to None while preserving explicit intervals, numerical recovery, and conservative batch fallbacks. Extend public configuration tests and cover disabled scheduling in every store. Document centered recursive updates, standardization, constrained fitting, singular-solve regularization, and measured per-store update speedups. Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
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📝 SummaryRisk: MediumThree areas for human review
Changed behavior and contracts
Evidence supplied
Evidence still missing
WalkthroughFPM regression now supports an optional rebuild interval. Bucketed regression uses recursive sufficient statistics and tracks actual evictions. Rust and Python configuration paths validate and preserve the setting. Tests and documentation cover fitting behavior, scheduling, and configuration. ChangesFPM recursive regression
Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: ⚪ Minimal · up to The reviewed change is mergeable based on the supplied source evidence; normal test checks remain appropriate. 🚥 Pre-merge checks | ✅ 7 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (7 passed)
Full details: Cross-Layer ContractExplanation The Python facade does not complete the new Resolution Validate Comment |
Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
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In `@crates/core/src/perfmodel/fpm/regression/recursive.rs`:
- Around line 188-196: Record the exact commands and results for both required
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explanations for any changed values; do not treat the local
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crates/core/src/perfmodel/fpm/estimator.rscrates/core/src/perfmodel/fpm/model.rscrates/core/src/perfmodel/fpm/regression.rscrates/core/src/perfmodel/fpm/regression/recursive.rscrates/core/src/perfmodel/fpm/samples.rscrates/core/src/perfmodel/fpm/tests.rscrates/tests/public-api/src/lib.rsdocs/core-api.mddocs/fpm-recursive-regression.mdpython/aisimulate/src/aisimulate_core/sdk/rust_engine_step.pypython/aisimulate/tests/cross_package/test_core_public_api.pypython/aisimulate/tests/unit/sdk/test_rust_engine_step.py
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- GitHub Check: Prediction Regression / Collect prediction snapshot (old)
- GitHub Check: Prediction Regression / Collect prediction snapshot (new)
- GitHub Check: Platform Wheels / Build wheels (manylinux_2_28_x86_64)
- GitHub Check: Platform Wheels / Build wheels (macosx_arm64)
- GitHub Check: Platform Wheels / Build wheels (manylinux_2_28_aarch64)
- GitHub Check: Collector Data / Perf data sanity (informational)
- GitHub Check: Collector Data / Check collector data
- GitHub Check: Rust (arm64)
- GitHub Check: Release Artifact Contract (amd64)
- GitHub Check: Release Artifact Contract (arm64)
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- GitHub Check: Python 3.13 compatibility
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Preserve the Rust single oracle: Python may describe operations, load raw data, orchestrate, and present results, but must not compute per-op performance values.
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python/aisimulate/src/aisimulate_core/sdk/rust_engine_step.py
Enforce the single-oracle and golden-diff rules in python/aisimulate/.claude/rules/rust-core/parity.md.
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crates/core/src/perfmodel/fpm/model.rscrates/core/src/perfmodel/fpm/tests.rscrates/core/src/perfmodel/fpm/estimator.rscrates/core/src/perfmodel/fpm/samples.rscrates/core/src/perfmodel/fpm/regression/recursive.rscrates/core/src/perfmodel/fpm/regression.rs
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Read REVIEW.md before commenting.
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crates/core/src/perfmodel/fpm/model.rscrates/core/src/perfmodel/fpm/tests.rspython/aisimulate/src/aisimulate_core/sdk/rust_engine_step.pycrates/core/src/perfmodel/fpm/estimator.rsdocs/core-api.mdpython/aisimulate/tests/cross_package/test_core_public_api.pycrates/core/src/perfmodel/fpm/samples.rscrates/tests/public-api/src/lib.rsdocs/fpm-recursive-regression.mdcrates/core/src/perfmodel/fpm/regression/recursive.rscrates/core/src/perfmodel/fpm/regression.rspython/aisimulate/tests/unit/sdk/test_rust_engine_step.py
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crates/core/src/perfmodel/fpm/model.rscrates/core/src/perfmodel/fpm/tests.rspython/aisimulate/src/aisimulate_core/sdk/rust_engine_step.pycrates/core/src/perfmodel/fpm/estimator.rscrates/core/src/perfmodel/fpm/samples.rscrates/core/src/perfmodel/fpm/regression/recursive.rscrates/core/src/perfmodel/fpm/regression.rs
Before making any change under: `python/aisimulate/src/aiconfigurator/generator/**` MUST read: `python/aisimulate/.claude/rules/generator-development.md` Before making any change under `python/aisimulate/collector/**` MUST read: `python/ais...
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crates/core/src/perfmodel/fpm/model.rscrates/core/src/perfmodel/fpm/tests.rspython/aisimulate/src/aisimulate_core/sdk/rust_engine_step.pycrates/core/src/perfmodel/fpm/estimator.rsdocs/core-api.mdpython/aisimulate/tests/cross_package/test_core_public_api.pycrates/core/src/perfmodel/fpm/samples.rscrates/tests/public-api/src/lib.rsdocs/fpm-recursive-regression.mdcrates/core/src/perfmodel/fpm/regression/recursive.rscrates/core/src/perfmodel/fpm/regression.rspython/aisimulate/tests/unit/sdk/test_rust_engine_step.py
🪛 ast-grep (0.45.3)
python/aisimulate/tests/cross_package/test_core_public_api.py
[info] 246-246: use jsonify instead of json.dumps for JSON output
Context: json.dumps(request)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 252-252: use jsonify instead of json.dumps for JSON output
Context: json.dumps(normalized)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 255-255: use jsonify instead of json.dumps for JSON output
Context: json.dumps(resolved)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 273-273: use jsonify instead of json.dumps for JSON output
Context: json.dumps(request)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tests/unit/sdk/test_rust_engine_step.py
[info] 981-981: use jsonify instead of json.dumps for JSON output
Context: json.dumps(resolved)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🪛 LanguageTool
docs/fpm-recursive-regression.md
[style] ~24-~24: The words ‘observation’ and ‘observed’ are quite similar. Consider replacing ‘observed’ with a different word.
Context: ...ive raw features and a positive, finite observed latency in milliseconds: $$ x = [x_0, ...
(VERB_NOUN_SENT_LEVEL_REP)
[grammar] ~489-~489: Ensure spelling is correct
Context: ...se uses 9,216 unique source row IDs for warmup and its measured tail. The shuffle and ...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- Dynamo consumes
RustForwardPassPerfModelthroughcomponents/src/dynamo/planner/core/perf_model/engine_query.py:221-223, callingfrom_regression(options)orbest_available(aic_config, options). No directrebuild_intervalorRegressionFitConfigreferences were found, so the new nested option appears to cross this boundary through serialized options rather than Dynamo-owned schema code. [::ai-dynamo/dynamo::] - The downstream dependency/identity contract is covered by
tests/dependencies/test_aiconfigurator_consistency.py:116-121, which asserts that Dynamo’s public import is the sameRustForwardPassPerfModelimplementation. [::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
- The public Python and PyO3 surfaces retain the existing optional JSON options boundary:
aic-core/src/aiconfigurator_core/_aiconfigurator_core.pyi:156-162andaic-core/rust/aiconfigurator-core/src/py.rs:1381-1415exposefrom_native,best_available, andfrom_regressionwithoptions_jsonoptional. This is the compatibility surface that must continue accepting the newly serialized nested fit setting. [::ai-dynamo/aiconfigurator::] - The frozen reference implementation currently has
BucketedRegressioninaic-core/rust/aiconfigurator-core/src/fpm/regression.rs:19-141and creates workload regressions inaic-core/rust/aiconfigurator-core/src/fpm/model.rs:105-121, but has norebuild_intervalreferences. This confirms the PR’s recursive/rebuild behavior is not yet mirrored in the migration reference. [::ai-dynamo/aiconfigurator::] - Existing public API and parity coverage exercises
ForwardPassPerfModel::from_regressionand related constructors inaic-core/rust/aiconfigurator-core/src/fpm/tests.rs:306-684andaic-core/rust/tests/public-api/src/lib.rs:38-39; these are relevant compatibility points for preserving defaults and constructor behavior. [::ai-dynamo/aiconfigurator::]
Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
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Reviewed 2bd9966d282f252a147a19cef3b0da34dbc8855e against e8828036e3d32d8361e2abb819e0ee60e569f518. No blocking findings after inspecting the recursive sufficient statistics, exact eviction accounting, constrained solve/fallbacks, independent stores/clones, and public configuration flow.
Independent validation:
- Fresh optimized extension: 386 engine parity tests and 139 Python API/binding tests passed, with frozen goldens untouched. Another 100 Rust FPM tests passed.
- Downloaded the exact-head CI prediction artifacts and compared all 30 old/new CSVs: byte-identical at their serialized precision (170,800 rows total; 83,379 successful predictions, remaining identical misses/invalid/error outcomes). This static grid is separate from learned-regression validation.
- 4,123,010 accepted updates / 36,849,690 prediction comparisons against batch fitting on the exact retained observations: no readiness changes or violations of
1e-8 + 1e-8 * abs(batch)in that campaign. Real H200/MiniMax-M2.7 prefill input (9,505 rows) had maximum prediction delta approximately1.17e-9 ms. - A separate 883,872-comparison adversarial sweep using valid decode feature geometry found small differences near the collinearity cutoff: maximum
4.9561e-5 ms(49.6 ns), maximum relative difference about0.0001206%, with no readiness changes. Some exceed the strict comparison tolerance above; that tolerance is not a universal bound. No material prediction regression was found. These are equivalence checks, not a GPU-accuracy claim.
Independent CPU performance on Linux x86_64 / Rust 1.91.0, optimized builds, pinned core, 11 counted alternating paired trials:
| Workload | Capacity | Batch update | Recursive update | Speedup |
|---|---|---|---|---|
| H200 measured prefill | 64 | 4.679 us | 0.460 us | 10.18x |
| H200 measured prefill | 8,192 | 483.163 us | 1.472 us | 328.14x |
| Synthetic decode | 64 | 4.400 us | 0.454 us | 9.69x |
| Synthetic prefill | 64 | 4.415 us | 0.462 us | 9.55x |
The update-only speedup is credible. Including the actual public Python tune_with_fpms wrapper, feature extraction, JSON, and FFI, a separate default-capacity synthetic decode benchmark measured 7.63 to 2.68 us/update (2.85x; five alternating revision pairs). Fully collinear input intentionally takes the batch fallback: roughly no speedup, with about 1% extra overhead at capacity 64. Initial measurements affected by another task's CPU load were retained separately and replaced by a full rerun.
Full CI run 35568124186 passed on this exact head. Approval is scoped to this commit; repository merge requirements still apply.
Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
diffractiongoo
changed the title
* perf(fpm): use recursive fits with configurable rebuilds Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com> * perf(fpm): disable periodic rebuilds by default Default the canonical rebuild interval to None while preserving explicit intervals, numerical recovery, and conservative batch fallbacks. Extend public configuration tests and cover disabled scheduling in every store. Document centered recursive updates, standardization, constrained fitting, singular-solve regularization, and measured per-store update speedups. Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com> * docs(fpm): group benchmark rows by capacity Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com> * docs(fpm): align bucket design with recursive fitting Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com> --------- Signed-off-by: Yueqi Zhao <yueqiz@nvidia.com>
Summary
AISim's forward-pass regression model previously refit every retained observation after each accepted sample. This change maintains centered sufficient statistics as observations enter and leave the store, then solves the same small constrained regression. The usual fitting path avoids scanning all retained samples.
The model preserves feature standardization, nonnegative slopes, a free intercept, singular-system regularization, readiness, prediction flooring, and sample selection. Numerical guards retain the original batch fitter for difficult cases.
Periodic statistics rebuilding is disabled by default. Users can opt into a refresh interval through the canonical configuration:
Walkthrough for readers: Start with
docs/fpm-recursive-regression.mdfor a step-by-step explanation of RLS and AISim’s implementation. It derives the insertion and eviction equations, explains how standardization, singular-system regularization, and nonnegative slopes work together, and covers rebuild settings, numerical safeguards, and the speedup measurements.Compatibility and deferred work
RegressionFitConfig.rebuild_interval: Option<usize>is exposed atestimator_config.fpm_regression.fit.rebuild_interval. Omission, PythonNone, and JSONnulldisable periodic rebuilding. Positive integers enable it; zero, negative, noninteger, and boolean values produce field-specific errors. Rust owns the default and validation.RegressionFitConfigliterals must add the field or use..Default::default(). Loading a new saved configuration in older code requires removing this field. No flat legacy-options knob is added.Validation
Fit agreement with the existing batch algorithm
The final implementation at
070638bdd339f7171aee955df2facd7a2fe6cccbpassed 6,150 fit checks and 50,835,900 raw/floored prediction comparisons on toy, recorded H200 prefill, and recorded B200 decode inputs. Every comparison used identical retained observations, at capacities 64 and 8,192 with periodic rebuilding disabled.There were zero readiness, active-feature, slope-constraint, coefficient, standardization, or prediction failures. Maximum prediction difference was
2.724e-10ms, within1e-8 + 1e-8 * abs(batch prediction)ms. Maximum scaled training-SSE difference was1.549e-14, usingabs(batch-recursive) / max(1, abs(batch)). This checks agreement with batch fitting, including extrapolation; it does not measure held-out target accuracy.An earlier audit of
14ac37e4replayed four datasets at capacities 64/8,192 and intervals 4,096/disabled: 2,834,140 processed observations, 6,362 fit checkpoints, and 27,871,996 prediction comparisons, with zero failures and maximum difference6.253e-11ms. The fitting arithmetic and guards are unchanged in the final implementation. Gym's predict → score → tune procedure was preserved; only construction was adapted to the canonical API.That replay used GLM-5.2/B200/SGLang, DeepSeek-V4-Pro/B300/SGLang, DeepSeek-V4-Pro/B200/vLLM, and MiniMax-M3/B200/vLLM. Gym revision:
7e0daaad23445b5c0e59aa2c6ee7dc08d5d29246; dataset revision:5487a4599a7fbc012c07bcd3699754bdf4a8bef7. It preserves Gym's file order, which is not declared chronological. Audit instrumentation and recordings are excluded from production.Retained-sample update performance
Fresh measurements compare the original batch update from
8e763d4with the production recursive update usingrebuild_interval=None:Times are medians of 21 paired trials on an Apple M5 Pro, macOS arm64, Rust 1.97.1 (
opt-level=3,target-cpu=native,codegen-units=1). Each trial repeats a 1,024-row window from an identical warm state. Speedup is the ratio of medians.The timer includes retention, eviction, and fitting from precomputed raw features. It excludes outer FPM feature extraction, Python/JSON, prediction, and GPU execution. These are CPU update speedups; H200/B200 identify the captured data, not the benchmark host. The walkthrough records trial ranges and input provenance. Earlier prototype timings are not used here.
Regression tests and checks
650 tests passed on merged commit
961c5b445111ad9b376a42eb00be2ddda8540ae0: 108 Rust FPM tests, 12 external Rust API tests, 144 Python API/binding tests, and 386 across both required engine parity suites. The merge of main982c18f4preserves both the RLS and DCP API documentation sections. Production code merged cleanly; independent review confirmed the upstream DCP integration and the unchanged RLS fitting arithmetic, sampling, and defaultNone. The numerical audits and performance measurements above were not rerun for this merge and retain their original tested revisions.Both required parity suites ran together in the command below: 386 passed, 5 warnings in 41.83s. The entire
crates/core/parity_tests/tree is unchanged from base982c18f4e8e33c124b5195945db269b83168ed3f, including the frozen golden files and inline FPM frozen tables. No golden values were changed or refreshed.Coverage includes default-disabled behavior beyond 4,096 operations, configuration round trips and invalid values, odd intervals and interval one, eviction, independent stores and clones, counter saturation, damage recovery, changing scales, inactive features, constrained slopes, and nondefault ridge strengths. Independent hand-derived tests also verify the constrained solution: on
{0,1,2}², labels20 - 2*x0 + 3*x1produce the nonnegative-slope fit18 + 3*x1.Exact test commands
The Python tests used the release extension freshly built from the merged source at
961c5b44(SHA-256c6a3578723b657136e7021c21bdb388c27aa3357705e8864a2ef4ef7e090dbab). Imports were verified to load this extension and the merged Python source from the isolated checkout.-p no:timeoutavoids the known macOS SIGALRM crash-reporting issue.Ruff, Rust formatting, pre-commit checks, and the packaged legal-file check passed on this merge. Earlier validation completed Clippy with 95 warnings already present in its base; strict
-D warningswas blocked by those existing warnings. Clippy was not rerun for this documentation conflict resolution.Reviewer guide
The main risk is preserving numerical decisions while changing floating-point accumulation order.
docs/fpm-recursive-regression.mdfirst. Its equations, worked examples, and source map connect recursive updates to the existing constrained regression algorithm.crates/core/src/perfmodel/fpm/regression/recursive.rsfor centered add/remove updates, standardization, constrained solving, rebuild scheduling, and numerical guards.regression.rsandsamples.rsin the same FPM directory for lazy retained-sample collection and accounting for the actual evicted observation.estimator.rsandmodel.rsfor the Rust-owned default, validation, and propagation into independent workload stores. Python forwards the setting through the canonical API.crates/tests/public-api/src/lib.rs, the Python API/binding tests, anddocs/core-api.md. Benchmark data, logs, binaries, and temporary audit hooks are excluded from the commits.Related issues
No related issue.