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PyTorch Proposes "Torch Native Runtime" (nativert) as a Successor to TorchScript / PyTorch、TorchScriptの後継として「Torch Native Runtime」(nativert)を提案 · Issue #53 · xhiroga/news · GitHub
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PyTorch has proposed "Torch Native Runtime" (nativert) as a new runtime to succeed TorchScript. The proposal aims to provide a more C++-friendly, lightweight, and extensible runtime environment. It focuses on performance improvements through static dispatch, memory planning, and reduced overhead, while also offering better interoperability with the PyTorch ecosystem. The initial implementation involves moving core components like Weights and TensorMeta into the PyTorch core.
PyTorch has proposed "Torch Native Runtime" (nativert) as a new runtime to succeed TorchScript. The proposal aims to provide a more C++-friendly, lightweight, and extensible runtime environment. It focuses on performance improvements through static dispatch, memory planning, and reduced overhead, while also offering better interoperability with the PyTorch ecosystem. The initial implementation involves moving core components like
WeightsandTensorMetainto the PyTorch core.PyTorchが、TorchScriptの後継となる新しいランタイム「Torch Native Runtime」(nativert)を提案しました。この提案は、よりC++フレンドリーで軽量、かつ拡張性の高いランタイム環境の提供を目指すものです。静的ディスパッチ、メモリ計画、オーバーヘッド削減によるパフォーマンス向上に焦点を当てつつ、PyTorchエコシステムとの相互運用性も高めます。初期実装として、
WeightsやTensorMetaといったコアコンポーネントをPyTorchコアに移動する作業が含まれています。The text was updated successfully, but these errors were encountered: