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34 lines
2.2 KiB
Markdown
34 lines
2.2 KiB
Markdown
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# ExecuTorch [[executorch]]
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[`ExecuTorch`](https://github.com/pytorch/executorch) 는 웨어러블, 임베디드 장치, 마이크로컨트롤러를 포함한 모바일 및 엣지 장치에서 온디바이스 추론 기능을 가능하게 하는 종합 솔루션입니다. PyTorch 생태계에 속해있으며, 이식성, 생산성, 성능에 중점을 둔 PyTorch 모델 배포를 지원합니다.
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ExecuTorch는 백엔드 위임, 사용자 정의 컴파일러 변환, 메모리 계획 등 모델, 장치 또는 특정 유즈케이스 맞춤 최적화를 수행할 수 있는 진입점을 명확하게 정의합니다. ExecuTorch를 사용해 엣지 장치에서 PyTorch 모델을 실행하는 첫 번째 단계는 모델을 익스포트하는 것입니다. 이 작업은 PyTorch API인 [`torch.export`](https://pytorch.org/docs/stable/export.html)를 사용하여 수행합니다.
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## ExecuTorch 통합 [[transformers.TorchExportableModuleWithStaticCache]]
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`torch.export`를 사용하여 🤗 Transformers를 익스포트 할 수 있도록 통합 지점이 개발되고 있습니다. 이 통합의 목표는 익스포트뿐만 아니라, 익스포트한 아티팩트가 `ExecuTorch`에서 효율적으로 실행될 수 있도록 더 축소하고 최적화하는 것입니다. 특히 모바일 및 엣지 유즈케이스에 중점을 두고 있습니다.
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[[autodoc]] integrations.executorch.TorchExportableModuleWithStaticCache
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- forward
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[[autodoc]] integrations.executorch.convert_and_export_with_cache
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