Profiling ExecuTorch models with SME2 acceleration #2791
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- Add complete profiling pipeline for ExecuTorch models with SME2 acceleration - Include model-agnostic profiling scripts and configs - Add agent skills for automation - Include example models and test cases - Add comprehensive documentation with operator-level profiling insights
- Complete learning path with 4 main pages (overview, setup, model onboarding, agent skills) - Model-agnostic profiling pipeline with config-driven experiments - Agent skills for AI assistant automation (7 skills total) - Updated scripts: analyze_results.py (CSV generation, optional etrecord) - New scripts: generate_report.py (markdown reports from CSV) - New tools: etdump_to_csv.py, generate_kernel_view.py - Consistent output structure: out_<model>/artifacts/ and out_<model>/runs/ - Removed unused script: compare_run_to_known_good.py - Updated all documentation to reflect new structure and workflow - Fixed typos, path inconsistencies, and script parameter updates - Added PIPELINE_COMMANDS.md reference documentation
… requirements - Rename SME2_stack_01062026.png -> sme2_stack_01062026.png - Rename PIPELINE_COMMANDS.md -> pipeline_commands.md - Rename CMakePresets.json -> cmake_presets.json (asset file only) - Update all references in markdown files and Python scripts - ExecuTorch's CMakePresets.json remains unchanged (standard CMake filename)
…ents - Rename executorch_sme2_kit/README.md -> readme.md - Rename executorch_sme2_kit/agent_skill_ml_profiling/README.md -> readme.md - Rename executorch_sme2_kit/model_profiling/scripts/README.md -> readme.md - Update all references in markdown files
- Updated 08_onboard_edgetam.md to clarify EdgeTAM has multiple modules (only image encoder is onboarded) - Fixed test case file (01-smoke-test-mac.md) to use correct paths (out_<model>/runs/, executorch/cmake-out/) - Removed deprecated --model parameter from analyze_results.py examples in test case - Verified all web content pages, agent skills, and README files are consistent - All file paths use executorch/cmake-out/ and out_<model>/runs/ structure - No linter errors - All content ready for use
… and add to .gitignore
…minology - Update title to 'Revealing latent ExecuTorch latency after SME2 acceleration' - Replace 'profiling' with 'performance analysis' throughout narrative content - Add comprehensive Android device power management settings: - Unconstrained boost mode (value 15) for stress testing hardware - App developer mode (value 1) for real user experience - UI animation settings for consistent measurements - Fix prerequisites YAML formatting (quote Optional field) - Clarify workflow: setup_workspace required before validate_workflow - Update all references to use accurate terminology and settings
- Restore 48 image files that were inadvertently deleted in commit 0816347 - These files belong to other learning paths and should match upstream/main - Also includes latest updates to sme-executorch-profiling content
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- Remove executorch_sme2_kit/ folder (moved to sme-executorch-profiling repo) - Update all GitHub links to point to new repository: - 01-overview.md: Updated clone instructions and script links - 02-setup-and-pipeline.md: Updated script and asset links - 03-model-onboarding-and-profiling.md: Updated model, script, and agent skill links - 04-agent-skills.md: Updated agent skill links - Add full GitHub URLs to agent skill references for better navigation - Clarify path explanations for consistency - Code is now hosted at: https://github.com/ArmDeveloperEcosystem/sme-executorch-profiling
- Add full GitHub URLs to 08_onboard_edgetam.md references for better navigation - Clarify path explanation for consistency
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