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pytorch/executorch · Archived

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Profile ExecuTorch model execution. Use when measuring performance, analyzing operator timing, or debugging slow models.

First seen Jul 3, 2026

Installation

$ npx skills add pytorch/executorch --skill profile
View on skills.sh ↗ GitHub repository ↗

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Also in this package

Other skills from pytorch/executorch.

npx skills add pytorch/executorch
qualcomm 6 executorch-kb 6 binary-size 6 building 5 zephyr 5 setup 5 export 5 cortex-m 5

Browse all from pytorch/executorch

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

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Repository health

Stars 5.0K
License LICENSE
Default branch main
Open issues 930
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 659 B
  • docs SUMMARY.md 135 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

Profile

1. Enable ETDump when loading

program = runtime.load_program("model.pte", enable_etdump=True, debug_buffer_size=int(1e7))

2. Execute and save

outputs = program.load_method("forward").execute(inputs)
program.write_etdump_result_to_file("etdump.etdp", "debug.bin")

3. Analyze with Inspector

from executorch.devtools import Inspector
inspector = Inspector(etrecord="model.etrecord", etdump_path="etdump.etdp")
inspector.print_data_tabular()