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tracelens-analysis-orchestrator

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Atualizado16 de julho de 2026 às 22:18

Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report (analysis.md). Use when the user asks to follow the analysis orchestrator, run the agentic analysis workflow, analyze a trace, compare two traces, or mentions standalone or comparative TraceLens analysis.

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amd

amd/skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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SKILL.md

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name

tracelens-analysis-orchestrator

description

Analysis orchestrator

Coordinate system-level analysis (CPU/idle, kernel fusion, multi-kernel / comm / memcpy) and compute-kernel analysis (GEMM, SDPA, elementwise, etc.): one trace load, shared prep, parallel subagents, then aggregation into analysis.md.

Full procedure

Follow reference.md for every step (user prompts, <prefix> / {CMD} usage, CLI commands, subagent launch text, validation, report tee order, plot embedding, and trace diagnostics).

Workflow index

0. Query User Inputs (Platform, Trace Path(s), Analysis Mode, Environment Setup)
1. Generate Performance Report (branches on analysis mode: training vs inference then, comparison scope)
2-5. Prepare Category Data (GPU Util, Top Ops, Tree Data, Multi-Kernel Data, Category Filtering)
6. System-Level Analysis (PARALLEL) → system_findings/
7. Compute Kernel Subagents (PARALLEL) → category_findings/
   7.5. Aggregate → priority_data.json::findings[]
8. Validate Subagent Outputs
9. load_findings + Model Identification (subagent) → metadata/model_info.json
10. Render performance PNG if agent_extension.py is absent
11. Generate analysis.md (orchestrator writes via <prefix> tee), optional extension, embed PNG

Rules

Subagents: Use the Task tool only where reference.md says “subagent” (Steps 6, 7, 9). The orchestrator runs everything else, including Step 7.5, using the command prefix from <output_dir>/cache/cmd_prefix.txt ({CMD} substitution).
Language: Prefer vendor-agnostic terms (GPU kernels, collective communication, vendor GEMM library, DNN primitives, GPU graph). When quoting trace data, real kernel names are fine.
Subagent prompts: Point each subagent at the checked-in agent file under TraceLens/Agent/Analysis/skills/analysis-orchestrator/agents/<name>.md (see reference.md for exact paths and prompt shells).

Primary outputs

Deliverable: <output_dir>/analysis.md
Internals: system_findings/, category_findings/, category_data/, metadata/, perf_report*.xlsx, CSV folders — see package README for layout.

Agent layout

Project subagents ship with this skill: TraceLens/Agent/Analysis/skills/analysis-orchestrator/agents/*.md.

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name

tracelens-analysis-orchestrator

description

Analysis orchestrator

Full procedure

Follow reference.md for every step (user prompts, <prefix> / {CMD} usage, CLI commands, subagent launch text, validation, report tee order, plot embedding, and trace diagnostics).

Workflow index

0. Query User Inputs (Platform, Trace Path(s), Analysis Mode, Environment Setup)
1. Generate Performance Report (branches on analysis mode: training vs inference then, comparison scope)
2-5. Prepare Category Data (GPU Util, Top Ops, Tree Data, Multi-Kernel Data, Category Filtering)
6. System-Level Analysis (PARALLEL) → system_findings/
7. Compute Kernel Subagents (PARALLEL) → category_findings/
   7.5. Aggregate → priority_data.json::findings[]
8. Validate Subagent Outputs
9. load_findings + Model Identification (subagent) → metadata/model_info.json
10. Render performance PNG if agent_extension.py is absent
11. Generate analysis.md (orchestrator writes via <prefix> tee), optional extension, embed PNG

Rules

Subagents: Use the Task tool only where reference.md says “subagent” (Steps 6, 7, 9). The orchestrator runs everything else, including Step 7.5, using the command prefix from <output_dir>/cache/cmd_prefix.txt ({CMD} substitution).
Language: Prefer vendor-agnostic terms (GPU kernels, collective communication, vendor GEMM library, DNN primitives, GPU graph). When quoting trace data, real kernel names are fine.
Subagent prompts: Point each subagent at the checked-in agent file under TraceLens/Agent/Analysis/skills/analysis-orchestrator/agents/<name>.md (see reference.md for exact paths and prompt shells).

Primary outputs

Deliverable: <output_dir>/analysis.md
Internals: system_findings/, category_findings/, category_data/, metadata/, perf_report*.xlsx, CSV folders — see package README for layout.

Agent layout

Project subagents ship with this skill: TraceLens/Agent/Analysis/skills/analysis-orchestrator/agents/*.md.