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fix: support release namespaces in E2E accuracy campaigns - #354
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Signed-off-by: Simone Chen <simonec@nvidia.com>
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🪛 ast-grep (0.45.3)tests/test_e2e_accuracy_nightly.py[info] 1212-1212: use jsonify instead of json.dumps for JSON output (use-jsonify) [info] 1219-1219: use jsonify instead of json.dumps for JSON output (use-jsonify) 🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfiguratorLinked repositories findingsai-dynamo/dynamo
ai-dynamo/aiconfigurator
📝 SummaryRisk: Medium. Three areas need human attention:
Changed behavior and public contracts
Technical evidence
Merge readiness
WalkthroughThe accuracy campaign selects and verifies a baseline API and config adapter from the evaluated wheel. It uses those modules for baseline prediction and records the selected CLI entry point in the public summary. ChangesE2E accuracy campaign
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Possibly related PRs
Merge Risk: ⚪ Minimal · up to Ambiguous wheels are now rejected rather than silently selecting a baseline. Provenance validation retains compatibility with older summaries. No merge-blocking issue remains identified; normal checks should complete before merging. 🚥 Pre-merge checks | ✅ 7 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (7 passed)
Full details: Modeling And Data EvidenceExplanation The PR changes predictor selection and therefore the path that produces baseline outputs in Resolution Add reproducible evidence for the changed selection path. Use fixed input points and both supported wheel layouts, run the prior and new routing paths, and record machine-readable
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Review comments at @scripts/run_e2e_accuracy.py:
- Line 167: Update the predictor-layout selection logic in
`scripts/run_e2e_accuracy.py` to inspect both API layouts before returning a
predictor, reject multiple baseline APIs, and retain the matching-adapter check.
Add a regression test with both complete API/adapter pairs that verifies the
ambiguous layout is rejected.
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🔀 Multi-repo context ai-dynamo/aiconfigurator, ai-dynamo/dynamo
Linked repositories findings
ai-dynamo/aiconfigurator
- The 0.12 package contract places the CLI under
aiconfigurator.cliand the adapter underaiconfigurator.sdk.config_adapter; the main wheel must include both plus the packaged schema. [::ai-dynamo/aiconfigurator::] - The legacy adapter exports
adapt_configandto_cli_estimate_kwargs, with schema versionaic-estimate-request/1.0.0and adapter version1.0.0. This API should not be assumed interchangeable with the newer AISimulate adapter. [::ai-dynamo/aiconfigurator::] - The migration guide states that
aisimulate==0.12.0may temporarily retain the migratedaiconfiguratorimport namespace for one release. Strict mixed-namespace rejection should therefore be checked against the actual supported wheel contents. [::ai-dynamo/aiconfigurator::]
ai-dynamo/dynamo
- Current Dynamo consumes only canonical
aisimulatenamespaces and explicitly rejects installedaiconfigurator/aiconfigurator_corepayloads; its legacy console command points toaisimulate.legacy_cli.entrypoint:main. [::ai-dynamo/dynamo::] - Dynamo’s provider ABI is separate from the legacy AIC adapter: current providers import
aisimulate.config_adaptercontexts and declareconfig_adapter_api_version = 3. The E2E script must select the wheel-specific baseline adapter rather than treating these APIs as equivalent. [::ai-dynamo/dynamo::] - Dynamo pins an exact AISimulate release and validates its
aisimulateentry points and canonical import namespaces in dependency tests, confirming that namespace selection is a release-level compatibility boundary. [::ai-dynamo/dynamo::]
Signed-off-by: Simone Chen <simonec@nvidia.com>
Signed-off-by: Simone Chen <simonec@nvidia.com>
Harrilee
approved these changes
Sep 30, 2026
Harrilee
approved these changes
Sep 30, 2026
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/ok to test de04ef8 |
tianhaox
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Oct 1, 2026
Brings in the FPM decoupling / self-service onboarding stack (ai-dynamo#238, ai-dynamo#248, ai-dynamo#347), the output adapters (ai-dynamo#334) and the CI changes (ai-dynamo#349, ai-dynamo#351, ai-dynamo#353, ai-dynamo#354, ai-dynamo#330, ai-dynamo#319). Conflict resolutions: - ENGINE_SPEC_SCHEMA_VERSION: upstream claimed 25 for the FPM decoupling selector; decode CP is renumbered to 26 (positional dcp_size tails on the attention / MLA / DSA ops). Stale-payload loops reject 20..25; the 25 payload keeps the selector like the decoupling branch's 21. - cp_size: upstream added a CP1-only `cp_size` to compile_engine, estimate_kv_cache / estimate_num_gpu_blocks, EngineBuildRequest and the legacy Rust compile path ("this SDK entry point does not support context parallelism"). This branch supports prefill CP at exactly those entry points, so the duplicate parameters / struct field are folded into ours, the CP1 gates become positive-integer validation, and the FPM profile cell selection receives the real cp_size (a profile without that cell fails loud with "no matching FPM deployment profile"). Upstream's tests are adjusted accordingly. - FpmCompileConfig / AicTimingConfig parallel-shape checks combine upstream's `fpm_profile.is_none()` exemption with the `* cp_size` fold; aic_capacity_kwargs gains cp_size / dcp_size; fpm best_available keeps upstream's registered-architecture check ahead of the DCP mode gate. - capacity.py worker resolution carries aic_cp_size / aic_dcp_size next to aic_fpm_profile / worker_type. - ParallelismPresetConfig.prefill_context becomes Optional (None = 1), like decode_context, so default parallelism dumps carry no CP keys; the new onboarding topology tests (ai-dynamo#248) compare those dumps against the six-key request parallelism. Consumers read it through compiler._prefill_cp. Signed-off-by: Tianhao Xu <tianhaox@nvidia.com> Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Why and what changed
Review map
predictor_module_names,wheel_identity, andpredict_pointinscripts/run_e2e_accuracy.py; follow provenance through_aic_sourceandprepare_e2e_accuracy_pages.py.snapshot.aic_source.cli_entry_point; old summaries remain readable. New producer runtime records the API and adapter and rejects mismatched identity.Evidence
de04ef87.python/aisimulate/.venv/bin/python -m pytest -p no:timeout -q tests/test_e2e_accuracy_nightly.py tests/test_e2e_accuracy_overview.py: 245 passed.node --test tests/test_e2e_accuracy_ui.mjs tests/test_e2e_accuracy_workflow.mjs: 52 passed. These are simulated browser/workflow tests, not hosted campaign evidence.git diff --check, andpython/aisimulate/.venv/bin/python scripts/check_documentation_links.py: passed (77 Markdown files).dd536f5b; refreshed head pending. Full CI and complete release campaigns remain outstanding.dd536f5b; fixes pushed for re-review. Codex: local implementation checks on04505049, no independent review claimed.Evidence classification
python/aisimulate/.venv/bin/ruff check --config python/aisimulate/pyproject.toml scripts/build_pages_site.py tests/test_e2e_accuracy_nightly.py;python/aisimulate/.venv/bin/python scripts/check_documentation_links.py;git diff --check.Modeling or data provenance
aiconfigurator.main:mainfor old releases,aisimulate.legacy_cli.entrypoint:mainfor migrated wheels. Full before/after campaign evidence remains pending.Tracking