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[Dynamo] Report phase metrics and build Pareto frontiers - #1115
Expose Dynamo metric observations and Pareto points for each profiling phase. Read AIPerf JSON exports, including total-token throughput per configured user and serving GPU, with CSV support for older AIPerf and GenAI-Perf results.
Test Plan
CI
A single parametrized Dynamo test checks complete inference reports and metric observations against native phase exports. Selected configurations cover replicas, shared nodes, multi-node workers, GPU packing, backend defaults, attention DP, visible GPUs, and command overrides.
Generated three plots from saved vLLM-backed and SGLang-backed Dynamo runs. Verified phase measurements against native JSON exports, including user/GPU normalization and executed configurations.
Checked point inspection, dominated-point toggles, and zoom/reset controls in Chrome.
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Walkthrough
AIDynamo now parses AIPerf JSON and CSV results and generates inference reports and metrics for configured benchmark phases. The changes add total-token throughput metrics, phase and benchmark dimensions, configuration migrations, and documentation and tests for phase-specific reporting.
Changes: Dynamo reporting
Layer / File(s)
Summary
Metric contracts and reporting documentation src/cloudai/metrics.py, doc/pareto-frontiers.rst, doc/reporting.rst, doc/workloads/ai_dynamo.rst
Adds phase and benchmark dimensions and total-token throughput metrics. Documents Dynamo’s supported result inputs, phase-specific reports, and Pareto-report behavior.
Result parsing and configuration compatibility src/cloudai/workloads/ai_dynamo/ai_dynamo.py, src/cloudai/workloads/ai_dynamo/report_generation_strategy.py, tests/workloads/ai_dynamo/test_report_gen_strategy.py
Parses AIPerf JSON and CSV statistics, migrates legacy configuration values, and rejects reports with missing or non-finite required results. Tests cover result inputs, missing values, and accuracy observations.
Dynamo phase reporting now tolerates malformed or templated parallelism arguments without failing report generation. Serving-GPU normalization is simply omitted in that case. No actionable merge-blocking risk remains from this review.
Pre-merge checks: 4
Check name
Status
Explanation
Title check
The title clearly and concisely describes the main changes: reporting Dynamo phase metrics and building Pareto frontiers.
Description check
The description directly explains the Dynamo metric observations, Pareto points, AIPerf and CSV support, testing, and validation activities.
Linked Issues check
Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check
Check skipped because no linked issues were found for this pull request.
Finishing Touches
📝 Generate docstrings
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🧪 Generate unit tests (beta)
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Autofix · Keep fixing CodeRabbit findings and required CI, and resolving merge conflicts
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podkidyshev
changed the title
[Dynamo] Build Pareto frontiers from all benchmark phases
[Dynamo] Report phase metrics and build Pareto frontiers
Oct 29, 2026
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Actionable comments posted: 1
🪄 Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @src/cloudai/workloads/ai_dynamo/ai_dynamo.py:
- Around line 203-209: Update the token-parsing loop in
WorkerConfig.inference_args to process only tokens prefixed with “--” and skip
recognized arguments whose values are not digit strings before converting them
to integers. Preserve the existing alias mapping and value extraction for valid
numeric arguments.
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needed to handle runs, produced by a cloudai with a bug that serializes File as "PosixPath('/a/b/c')" string, causing the metrics parsing to fail (not being able to recognize if aiperf was used or other bench)
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enhancementimprovements/extension to an existing feature
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Summary
Expose Dynamo metric observations and Pareto points for each profiling phase. Read AIPerf JSON exports, including total-token throughput per configured user and serving GPU, with CSV support for older AIPerf and GenAI-Perf results.
Test Plan
Additional Notes
N/A